Dr Seyit Camtepe

Biography

Other Interests

ML Optimised Cyber and Quantum Security (e.g., Malware Detection and Prevention, SW and Protocol Security, CII Security, Threat Modelling and Hunting, Risk Assessment, and Applied and Malicious Cryptography)

Technologies

• Quantum Mechanical Security: Only full-stack QKD research testbed in Australia. New Quantum-Mechanical Cryptographic primitives based on laws of physics to complement Classical Cryptography and PQC
• Unlearnability and Unencryptability: Preventing deepfake and malicious data manipulations using ML and future ransomware variations.
• Data Airlock: A Framework for the Model-to-Data paradigm for safe operations on illegal-to-share datasets and safe AI interface with isolated systems such as AI-powered pentesting.
• MaLFraDA: A variant of the Data Airlock Framework enabling distributed analysis of illegal-to-share datasets.
• buGFinder: A containerization cloud-based software vulnerability and compliance analysis framework using large language models.
• VulnGuard: A variant of buGFinder for software security and security compliance assessment.
• RFSH (REDWIRE): An innovative ransomware prevention solution for secure cloud storage.
• PIF/OptimShare (NSW iAward Merit): Innovative tools for privacy-preserving data sharing.
• THRD: ML-based alert triage and threat hunting framework for heterogenous data lakes.
• ACDC Range and Avatar: An IT/OT Range for Red/Blue teaming events and ML-based Incident Response Avatar.
• SmartShield (NSW iAward Winner): ML-based solution stack for preventing phishing detection and triage.
• CertainID: A biometric-based security solution developed with Kollakorn as part of Kick-start program.

Related Patents

• H. Cowlessur, C. Thapa, T. Alpcan, S. Camtepe, Quantum Machine Learning, 2024 (Australia AU2024902467A0) (Research Activity: Quantum Technologies FSP project)
• A. Mahboubi, S. Camtepe, J. Pieprzyk, Ransomware resilient file safe havens for cloud data storage, 2023. (Australia 2023900057A0) (Research Activity: Cyber Security CRC project)
• S. Camtepe, G. Gao, G. Hobbs, J. Pieprzyk. Random number (data) generator, 2021. (Australia TW9736/AU/PRV01) (US Patent: US20240031142A1) (Research Activity: Space FSP Project)
• S. Wang, M. Almashor, A. Abuadbba, R. Gaire, S. Camtepe, S. Nepal, Website Classification, 2022. (International Publication Number WO 2023/115110 A1) (Research Activity: Cyber Security CRC project)
• C. Thapa, S. Camtepe, R. Gaire, S. Nepal, S.Jang, Secure learning system, 2022. (Australian Patent: AU2022241621A1) (Research Activity: Australian Federal Police funded project)
• M.A.P. Chamikara, S. Ruj, I. Oppermann, D. Liu, S. Jang, A. Pal, M. Mohammady, R. Musotto, S. Camtepe, S. Nepal, Data Sharing Methods, 2022. (Australian Patent: AU2022902837A0) (Research Activity: Cyber Security CRC project)
• A.-D. Schmidt, L. Batyuk, G.Glass, K. Henke, L. Schneider, S. Camtepe, et al. Monitoring user activity on smart mobile devices, 2013. (European Patent: EP2608041) (2013) (Research Activity: Pre-CSIRO, Deutsche Telekom AG and German Government funded project)

Publications - List of venues

• Security Conferences: USENIX Security, Network and Distributed System Security Symposium (NDSS), IEEE Symposium on Security and Privacy (S&P), ACM Conference on Computer and Communications Security (CCS), ACM ASIA Conference on Computer and Communications Security (ACM ASIACCS), European Symposium on Research in Computer Security (ESORICS), Annual Computer Security Applications Conference (ACSAC), Symposium on Reliable Distributed Systems (SRDS)
• AI/ML Security Conferences: AAAI Conference on Artificial Intelligence, International Conference on Learning Representations (ICLR), European Conference on Machine Learning (ECML) and Principles and Practice of Knowledge Discovery in Databases (PKDD)
• Software and Web Security Conferences: ACM International Conference on the Foundations of Software Engineering (ESEC/FSE), International Conference on Software Engineering (ICSE), The Web Conference
• Cross Field Conferences: IEEE Conference on Decision and Control (CDC), Principles of Database Systems (PODS)
• Journals: IEEE/ACM Transactions on Networking, IEEE Transactions on Information Forensics and Security, IEEE Transactions on Dependable and Secure Computing, ACM Computing Surveys, Springer Nature Quantum Machine Intelligence, IEEE Internet of Things Journal, IEEE Transactions on Industrial Informatics, Elsevier Journal of Network and Computer Applications, Elsevier Computers & Security

Publications with Awards

• [Distinguished Paper Award]: D. Wang, M. Xue, B. Li, S. Camtepe, L. Zhu, Provably Unlearnable Data Examples. In Network and Distributed System Security Symposium (NDSS), Feb 2025.
• [SIGSOFT Distinguished Paper Award]: R Sun, J Xue, G Tyson, T Dong, S Li, S Wang, H Zhu, S Camtepe, and S Nepal. Mate! Are you really aware? An explainability-guided testing framework for robustness of malware detectors. In ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE), Dec 2023.

2026 (Selected Conference and Journal Publications)

• G. Farrelly, M. Chesser, S. Camtepe, D.C. Ranasinghe. DyMA-Fuzz: Dynamic Direct Memory Access Abstraction for Re-hosted Monolithic Firmware Fuzzing. International Conference on Software Engineering (ICSE), 2026.
• M. Robinson,S. Halder, M. E. Ahmed, M. Ikram, S. Camtepe, H. Kim, Original Sin of npm: A Study on Vulnerability Propagation in JavaScript Dependency Networks, ACM ASIA Conference on Computer and Communications Security (ASIA CCS), 2026.
• N. Sultan, Y. Bo, Y. Gao, S. Camtepe, A. Mahboubi, H. T. Bui, A. Chauhan, H. Aboutorab, et al., Setup Once, Secure Always: A Single-Setup Secure Federated Learning Aggregation Protocol with Forward and Backward Secrecy for Dynamic Users, ACM ASIA Conference on Computer and Communications Security (ASIA CCS), 2026.
• S. Kish, J. Pieprzyk, S. Camtepe, Trends in Quantum Key Distribution (QKD). Quantum Technologies, 2026.

2025 (Selected Conference and Journal Publications)

• W. Zong, Y. Chow, W. Susilo, J. Baek, S. Camtepe. AudioMarkNet: Audio Watermarking for Deepfake Speech Detection. USENIX Security Symposium, 2025.
• D. Wang, K. Moore, D. Goel, M. Kim, G. Li, Y. Li, R. Doss, M. Xue, B. Li, S. Camtepe, L. Zhu. CAMP in the Odyssey: Provably Robust Reinforcement Learning with Certified Radius Maximization, USENIX Security Symposium, 2025.
• M.A.P. Chamikara, S. I. Jang, I. Oppermann, D. Liu, M. Roberto, S. Ruj, A. Pal, M. Mohammady, S. Camtepe, S. Young, C. Dorrian, N. David. Towards Usability of Data with Privacy: A Unified Framework for Privacy-Preserving Data Sharing with High Utility, ACM Asia Conference on Computer and Communications Security (ASIACCS), 2025.
• S. Halder, M.E. Ahmed, S. Camtepe. FuncVul: An Effective Function Level Vulnerability Detection Model Using LLM and Code Chunk. In European Symposium on Research in Computer Security (ESORICS), 2025.
• R. Holland, M. Xue, C. Thapa, S. Camtepe. Private Synthetic Data Generation in Small Memory. The ACM Symposium on Principles of Database Systems (PODS), 2025.
• S Yang, B G Doan, P Montague, O D Vel, T Abraham, A Abuadbba, E Abbasnejad, S Camtepe, D Ranasinghe, S Kanhere, Graph spectral purification for backdoor defence in graph neural networks. World Wide Web, 2025.
• H. Cowlessur, C. Thapa, T. Alpcan, S. Camtepe. A hybrid quantum neural network for split learning. Quantum Machine Intelligence, 2025.
• Z. Deng, R. Sun, M. Xue, S. Wen, S. Camtepe, S. Nepal, Y. Xiang. Leakage-Resilient and Carbon-Neutral Aggregation Featuring the Federated AI-enabled Critical Infrastructure, in IEEE Transactions on Dependable and Secure Computing, 2025.
• D. Kaur, G. Hobbs, A. Zic, J.R. Dawson, J. Morgan, W. Ling, S. Camtepe, J. Pieprzyk, M.C.M. Cheung, Unlocking the hidden potential of pulsar astronomy, New Astronomy, 2025.

2024 (Selected Conference and Journal Publications)

• B. Doan, C. Lindquist, Q. Nguyen, P. Montague, O. De Vel, T. Abraham, S. Camtepe, S. Kanhere, E. Abbasnejad, D. Ranasinghe, On the Credibility of Backdoor Attacks Against Object Detectors in the Physical World, In Annual Computer Security Applications Conference (ACSAC), December 2024.
• R. Holland, C. Thapa, W. Shao, S. Camtepe, S. A. Siddiqui, One-shot Collaborative Data Distillation. In European Conference on Artificial Intelligence (ECAI), October 2024.
• D. Goel, K. Moore, M. Guo, D. Wang, M. Kim and S. Camtepe, Optimizing Cyber Defense in Dynamic Active Directories through Reinforcement Learning. In European Symposium on Research in Computer Security (ESORICS), Sep 2024
• B. G. Doan, D. Q. Nguyen, P. Montague, T. Abraham, O. De Vel, S. Camtepe, S. S. Kanhere, E. Abbasnejad and D. C. Ranasinghe, Detecting Adversarial Malware For Free, In European Symposium on Research in Computer Security (ESORICS), Sep 2024
• S. Liu, D. Cao, J. Kim, T. Abraham, P. Montague, S. Camtepe, J. Zhang, Y. Xiang, EaTVul: ChatGPT-based Evasion Attack Against Software Vulnerability Detection, USENIX Security, August 2024.
• W. Zong, Y. Chow, W. Susilo, J. Baek, J. Kim, and S. Camtepe. IPRemover: A Generative Model Inversion Attack against Deep Neural Network Fingerprinting and Watermarking. Proceedings of the AAAI Conference on Artificial Intelligence, Mar 2024.
• S. P. Kish, C. Thapa, M. Sayat, H. Suzuki, J. Pieprzyk, and S. Camtepe. Mitigation of Channel Tampering Attacks in Continuous-Variable Quantum Key Distribution, Physical Review Research, 2024.
• A. Mahboubi, K. Luong, H. Aboutorab, H. T. Bui, G. Jarrad, M. Bahutair, S. Camtepe, G. Pogrebna, E. Ahmed, B. Barry, H. Gately, Evolving techniques in cyber threat hunting: A systematic review, Journal of Network and Computer Applications, Volume 232, 104004, 2024.
• H. T. Bui, H. Aboutorab, A. Mahboubi, Y. Gao, N. H. Sultan, A. Chauhan, M. Z. Parvez, M. Bewong, R. Islam, Z. Islam, S. Camtepe, P. Gauravaram, D. Singh, M. A. Babar, and S. Yan. 2024. Agriculture 4.0 and beyond: Evaluating cyber threat intelligence sources and techniques in smart farming ecosystems. Computers and Security (COSE), 140, C, May 2024.

2023 (Selected Conference and Journal Publications)

• S Kwashie, W Kang, S S Kumar, G Jarrad, S Camtepe, and S Nepal. ACUMEN: Analysing the impact of organisational change on users’ access entitlements. In European Symposium on Research in Computer Security (ESORICS), Sep 2023.
• G Farrelly, P Quirk, S Kanhere, S Camtepe, D Ranasinghe, SPLITS: Split Input-to-State Mapping for Effective Firmware Fuzzing, In European Symposium on Research in Computer Security (ESORICS), Sep 2023.
• R Sun, M Xue, G Tyson, S Wang, S Camtepe, S Nepal. Not seen, not heard in the digital world! Measuring privacy practices in children’s apps. In ACM Web Conference (WWW), 2023.
• V Vo, V Nguyen, T Le, Q H Tran, G Haffari, S Camtepe, and D Phung. An additive instance-wise approach to multi-class model interpretation. In International Conference on Learning Representations (ICLR), May 2023.
• G Sun, T Alpcan, S Camtepe, A C Cullen, and B I P Rubinstein. An adversarial strategic game for machine learning as a service using system features. In International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May 2023.
• S Wang, S Abuadbba, S Agarwal, K Moore, R Sun, M Xue, S Nepal, S Camtepe, and S Kanhere. PublicCheck: Public integrity verification for services of run-time deep models. In IEEE Symposium on Security and Privacy (S&P), May 2023.
• S Wang, M Almashor, A Abuadbba, R Sun, M Xue, C Wang, R Gaire, S Nepal, and S Camtepe. DoITrust: Dissecting on-chain compromised internet domains via graph learning. In Network and Distributed System Security Symposium (NDSS), Feb 2023.
• B G Doan, S Yang, P Montague, O De Vel, T Abraham, S Camtepe, S Kanhere, E Abbasnejad, and D C Ranasinghe. Feature-space Bayesian adversarial learning improved malware detector robustness. In Association for the Advancement of Artificial Intelligence (AAAI), 2023.
• S Khan, C Thapa, S Durrani, S Camtepe. Access-based Lightweight Physical layer Authentication for the Internet of Things Devices, In IEEE Internet of Things Journal, 2023.
• G Sun, T Alpcan, B I P Rubinstein, and S Camtepe. To Act or Not To Act: An Adversarial Game for Securing Vehicle Platoons. In IEEE Transactions on Information Forensics and Security, 2023.
• N H Sultan, V Varadharajan, S Dulal, S Camtepe, and S Nepal. NDN-RBE: An accountable privacy aware access control framework for NDN. The Computer Journal, 2023.

2022 (Selected Conference and Journal Publications)

• C Thapa, S Ick Jang, M E Ahmed, S Camtepe, J Pieprzyk, and S Nepal. Transformer-based language models for software vulnerability detection. In Annual Computer Security Applications Conference (ACSAC), 2022.
• C Thapa, S Camtepe, R Gaire, S Nepal, and S Ick Jang. Demo – Malfrada: A machine learning framework with data airlock. In ACM SIGSAC Conference on Computer and Communications Security (CCS), 2022.
• Y Miao, C Chen, L Pan, S Liu, S Camtepe, J Zhang, and Y Xiang. No-label user-level membership inference for ASR model auditing. In European Symposium on Research in Computer Security (ESORICS), 2022.
• M A P Chamikara, D Liu, S Camtepe, S Nepal, M Grobler, P Bertok, and I Khalil. Local differential privacy for federated learning. In European Symposium on Research in Computer Security (ESORICS), 2022.
• G Sun, T Alpcan, B Rubinstein, and S Camtepe. Securing cyber-physical systems: Physics-enhanced adversarial learning for autonomous platoons. In European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 2022.
• Chaoran Li, Xiao Chen, Ruoxi Sun, Minhui Xue, Sheng Wen, Muhammad Ejaz Ahmed, Seyit Camtepe, and Y Xiang. Cross-language android permission specification. In ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE), 2022.
• S Yang, B G Doan, P Montague, O De Vel, T Abraham, S Camtepe, D C Ranasinghe, and S S Kanhere. Transferable graph backdoor attack. In International Symposium on Research in Attacks, Intrusions and Defenses (RAID), 2022.
• C Thapa, M A P Chamikara, S Camtepe, and L Sun. SplitFed: When federated learning meets split learning. In Association for the Advancement of Artificial Intelligence (AAAI), 2022.
• S Camtepe, J Duda, A Mahboubi, P Morawiecki, S Nepal, M Pawłowski, and J Pieprzyk. ANS-based compression and encryption with 128-bit security. International Journal of Information Security, 2022.
• H Alavizadeh, J Jang-Jaccard, S Y Enoch, H Al-Sahaf, I Welch, S Camtepe, and D Dongseong Kim. A survey on cyber situation awareness systems: Framework, techniques, and insights. ACM Computing Surveys, 2022.
• N Sun, J Zhang, S Gao, L Y Zhang, S Camtepe, and Y Xiang. Cyber information retrieval through pragmatics understanding and visualization. IEEE Transactions on Dependable and Secure Computing, 2022.
• J R Dawson, G Hobbs, Y Gao, S Camtepe, J Pieprzyk, Y Feng, L Tranfa, S Bradbury, W Zhu, and D Li. Physical publicly verifiable randomness from pulsars. Astronomy and Computing, 2022.
• X Zhu, S Wen, S Camtepe, and Y Xiang. Fuzzing: A survey for roadmap. ACM Computing Surveys, 2022.

2021 (Selected Conference and Journal Publications)

• G Sun, T Alpcan, B I P Rubinstein, and S Camtepe. A communication security game on switched systems for autonomous vehicle platoons. In IEEE Conference on Decision and Control (CDC), 2021.
• N H Sultan, V Varadharajan, C Kumar, S Camtepe, and S Nepal. A secure access and accountability framework for provisioning services in named data networks. In International Symposium on Reliable Distributed Systems (SRDS), 2021.
• M E Ahmed, H Kim, S Camtepe, and S Nepal. PEELER: Profiling kernel-level events to detect ransomware. In European Symposium on Research in Computer Security (ESORICS), 2021.
• G Sun, T Alpcan, B I P Rubinstein, and S Camtepe. Strategic mitigation against wireless attacks on autonomous platoons. In Machine Learning and Knowledge Discovery in Databases (ECML PKDD), 2021.
• R Sun, W Wang, M Xue, G Tyson, S Camtepe, and D C Ranasinghe. An empirical assessment of global covid-19 contact tracing applications. In IEEE/ACM 43rd International Conference on Software Engineering (ICSE), 2021.
• J Kim, S Camtepe, J Baek, W Susilo, J Pieprzyk, and S Nepal. Practical and privacy-preserving deep packet inspection. In ACM ASIA Conference on Computer and Communications Security (ASIA CCS), 2021.
• Y Gao, M Kim, C Thapa, S Abuadbba, Z Zhang, S Camtepe, H Kim, and S Nepal. Evaluation and optimization of distributed machine learning techniques for internet of things. IEEE Transactions on Computers, 2021.
• C Li, X Chen, D Wang, S Wen, M E Ahmed, S Camtepe, and Y Xiang. Backdoor attack on machine learning based android malware detectors. IEEE Transactions on Dependable and Secure Computing, 2021.
• S Camtepe, J Duda, A Mahboubi, P Morawiecki, S Nepal, M Pawłowski, and J Pieprzyk. COMPCRYPT–lightweight ANS-based compression and encryption. IEEE Transactions on Information Forensics and Security, 2021.
• M N Khan, A Rao, and S Camtepe. Lightweight cryptographic protocols for IOT-constrained devices: A survey. IEEE Internet of Things Journal, 2021.

2020 (Selected Conference and Journal Publications)

• N H Sultan, V Varadharajan, S Camtepe, and S Nepal. An accountable access control scheme for hierarchical content in named data networks with revocation. In In European Symposium on Research in Computer Security (ESORICS), 2020.
• Y Gao, M Kim, S Abuadbba, Y Kim, C Thapa, K Kim, S Camtepe, H Kim, and S Nepal. End-to-end evaluation of federated learning and split learning for internet of things. In International Symposium on Reliable Distributed Systems (SRDS), 2020.
• S Abuadbba, K Kim, M Kim, C Thapa, S Camtepe, Y Gao, H Kim, and S Nepal. Can we use split learning on 1d CNN models for privacy preserving training? In ACM ASIA Conference on Computer and Communications Security (ASIA CCS), 2020.
• X Zhu, X Feng, X Meng, S Wen, S Camtepe, Y Xiang, and K Ren. CSI-FUZZ: Full-speed edge tracing using coverage sensitive instrumentation. IEEE Transactions on Dependable and Secure Computing, 2020.
• B Palaniswamy, S Camtepe, E Foo, and J Pieprzyk. An efficient authentication scheme for intra-vehicular controller area network. IEEE Transactions on Information Forensics and Security, 2020.
• M A P Chamikara, P Bertok, I Khalil, D Liu, S Camtepe, and M Atiquzzaman. A trustworthy privacy preserving framework for machine learning in industrial IOT systems. IEEE Transactions on Industrial Informatics, 2020.
• M A P Chamikara, P Bertok, I Khalil, D Liu, S Camtepe, and M Atiquzzaman. Local differential privacy for deep learning. IEEE Internet of Things Journal, 2020.

2019 (Selected Conference and Journal Publications)

• J Kim, S Camtepe, W Susilo, S Nepal, and J Baek. Identity-based broadcast encryption with outsourced partial decryption for hybrid security models in edge computing. In ACM ASIA Conference on Computer and Communications Security (ASIA CCS), 2019.
• X Zhu, X Feng, T Jiao, S Wen, Y Xiang, S Camtepe, and J Xue. A feature-oriented corpus for understanding, evaluating and improving fuzz testing. In ACM ASIA Conference on Computer and Communications Security (ASIA CCS), 2019.

Pre-CSIRO (Selected Conference and Journal Publications)

• N Moustafa, K-K R Choo, I Radwan, and S Camtepe. Outlier Dirichlet mixture mechanism: Adversarial statistical learning for anomaly detection in the fog. IEEE Transactions on Information Forensics and Security, 2019.
• M Fernando, D Jayalath, S Camtepe, and E Foo. Reed olomon codes for the reconciliation of wireless physical layer based secret keys. In IEEE Vehicular Technology Conference (VTC-Fall), 2017.
• L Pradittasnee, S Camtepe, and Y-C Tian. Efficient route update and maintenance for reliable routing in large-scale sensor networks. IEEE Transactions on Industrial Informatics, 2017.
• R Amoah, S Camtepe, and E Foo. Securing DNP3 broadcast communications in SCADA systems. IEEE Transactions on Industrial Informatics, 2016.
• D Schmidt, K Radke, S Camtepe, E Foo, and M Ren. A survey and analysis of the GNSS spoofing threat and countermeasures. ACM Computing Surveys (CSUR), 2016.
• G Tian, S Camtepe, and Y-C Tian. A deadline-constrained 802.11 MAC protocol with QOS differentiation for soft real-time control. IEEE Transactions on Industrial Informatics, 2016.
• R Amoah, S Camtepe, and E Foo. Formal modelling and analysis of DNP3 secure authentication. Journal of Network and Computer Applications, 2016.
• R Amoah, S Suriadi, S Camtepe, and E Foo. Security analysis of the non-aggressive challenge response of the DNP3 protocol using a CPN model. In IEEE International Conference on Communications (ICC), 2014.
• S Camtepe. Complexity of increasing the secure connectivity in wireless ad hoc networks. In Australasian Conference on Information Security and Privacy (ACISP), 2013.
• M Herpich, L Batyuk, S Camtepe, and S Albayrak. A trusted ecosystem for android applications based on context-aware access control. In International Conference on Malicious and Unwanted Software (MALWARE), 2012.
• L Batyuk, M Herpich, S Camtepe, K Raddatz, A Schmidt, and S Albayrak. Using static analysis for automatic assessment and mitigation of unwanted and malicious activities within android applications. In International Conference on Malicious and Unwanted Software (MALWARE), 2011.
• A Messerman, T Mustafic, S Camtepe, and S Albayrak. Continuous and non-intrusive identity verification in real-time environments based on free-text keystroke dynamics. In International Joint Conference on Biometrics (IJCB): International Conference on Biometrics (ICB) and the Biometrics Theory, Application and Systems (BTAS), 2011.
• R Bye, S Camtepe, and S Albayrak. Poster: Teamworking for security with CIMD: A collaborative approach to intrusion detection. In USENIX Security Symposium, 2010.
• T Blasing, L Batyuk, A Schmidt, S Camtepe, and S Albayrak. An android application sandbox system for suspicious software detection. In International Conference on Malicious and Unwanted Software (MALWARE), 2010.
• A Schmidt, H Schmidt, L Batyuk, J H Clausen, S Camtepe, S Albayrak, and C Yildizli. Smartphone malware evolution revisited: Android next target? In International Conference on Malicious and Unwanted Software (MALWARE), 2009.
• A Schmidt, J Clausen, S Camtepe, and S Albayrak. Detecting Symbian OS malware through static function call analysis. In International Conference on Malicious and Unwanted Software (MALWARE), 2009.
• A Schmidt, R Bye, H Schmidt, J H Clausen, O Kiraz, K Yuksel, S Camtepe, and S Albayrak. Static analysis of executables for collaborative malware detection on android. In IEEE International Conference on Communications (ICC), 2009.
• R Moskovitch, C Feher, A Messerman, N Kirschnick, T Mustafic, S Camtepe, B Lohlein, U Heister, S Moller, L Rokach, and Y Elovici. Identity theft, computers and behavioral biometrics. In Intelligence and Security Informatics (ISI), 2009.
• S Camtepe and B Yener. Combinatorial design of key distribution mechanisms for wireless sensor networks. IEEE/ACM Transactions on Networking, 2007.
• E Acar, S Camtepe, and B Yener. Collective sampling and analysis of high order tensors for chatroom communications. In Intelligence and Security Informatics (ISI), 2006.
• S Camtepe, B Yener, and M Yung. Expander graph based key distribution mechanisms in wireless sensor networks. In IEEE International Conference on Communications, 2006.
• E Acar, S Camtepe, M S Krishnamoorthy, and B Yener. Modeling and multiway analysis of chatroom tensors. In Intelligence and Security Informatics (ISI), 2005.
• S Camtepe and B Yener. Combinatorial design of key distribution mechanisms for wireless sensor networks. In European Symposium on Research in Computer Security (ESORICS), 2004.
• S Camtepe, M S Krishnamoorthy, and B Yener. A tool for internet chatroom surveillance. In Intelligence and Security Informatics (ISI), 2004.

Achievements and Awards

• 2018-2021

  Julius Career Award
  CSIRO

• 2022-2022

  Spark Leader Labs
  CSIRO

• 2020-2020

  Experienced Leader Program
  CSIRO

• 2021-2022

  Data61 Cybersecurity Team - CSIRO Chairman Award Finalist
  CSIRO

• 2019-2019

  DNFC Breakthrough Innovation Award - Data Airlock project
  CSIRO

• 2017-2023

  Recurring Non-cash Research Program Rewards
  CSIRO

• 2013-2016

  Early Career Academic Recruitment and Development (ECARD)
  Queensland University of Technology (QUT)

• 2015-2015

  The David Gardiner Teacher of the Year Nominee
  Queensland University of Technology (QUT)

Professional Areas

• AI/ML and Cyber Security
• ML Optimised Cyber and Quantum Security
• Applied Cryptography
• Quantum Encryption and Key Distribution
• Malware Detection and Prevention

Fields of Research

Academic Qualifications

Professional Experiences

• 2019-Onward

  Principal Research Scientist
  CSIRO

• 2017-2019

  Senior Research Scientist
  CSIRO

• 2012-2017

  Lecturer
  Queensland University of Technology

• 2007-2012

  Postdoctoral Researcher, Lecturer, Team Leader
  Technische Universitaet Berlin

• 2002-2007

  Research and Teaching Assistant
  Rensselaer Polytechnic Institute

• 1996-2002

  Network and Security Engineer
  Banking Industry

Other highlights

• 2024-Onwards

  Advanced Science: Developing new quantum mechanical security primitives. Australia's only full stack QKD testbed to support research and development activities.

• 2017-Onwards

  Advanced Science: Leading researchers in AI and Cyber Security, with focus in threat hunting, malware detection, security compliance and software security. Innovations in Pulsar randomness. Impacts through renewable energy security, IoT and medical device guidelines. Data61 team and Cyber Security CRC theme leadership.

• 2019-2024

  CSIRO - Cyber Security CRC - Advanced Science: Develop new methods for secure compressed models and making private data unlearnable to unauthorised models.

• 2019-2024

  CSIRO - Cyber Security CRC - Innovation: Using AI to build cyber defence Avatars that can work alongside human Incident Response (IR) teams and optimise the operations to reduce human cognitive load.

• 2019-2024

  CSIRO - Cyber Security CRC - Innovation: Developing AI-powered tools for assessing the trustworthiness of software supply chains and AI/ML-enabled software systems.

• 2019-2024

  CSIRO - Cyber Security CRC - Industry Impact: Developed machine learning (ML) based tools to bring threat-hunting capabilities to data analysts. The solutions are tested for client uptake.

• 2019-2024

  CSIRO - Cyber Security CRC - Innovation: Developed a ransomware prevention solution (REDWIRE) using ML and information theory to understand the entropic behaviour of file read/write operations to detect malicious data encryption and source coding to paralyse the ransomware.

• 2018-2024

  CSIRO - Defence - Advanced Science, University Collaborations: DSTG NGTF projects on AI and Cyber Security covering innovative topics including robust and trustworthy learning systems, adversarial and deep ML for cyber, and vulnerability detection in software binaries.

• 2021-2026

  CSIRO - Space - Innovation, Cross-domain: Unleashing the potentials of Pulsar in cryptography, positioning and quantum security. We became the first worldwide to publish and patent the first solution for shared and verifiable physical randomness and cryptography.

• 2021-2023

  CSIRO - AU/NZ - International Collaboration: Collaborating with NZ universities on AI for Automating Response under the AU/NZ Cyber Security Research Program.

• 2023-2023

  Google - Engagement: Teaming with Google to advance Software Supply Chain Security and their impact on the resilience of Australia's Critical Infrastructure.

• 2022-2022

  CORE - High Impact: Served as a domain expert to review Computing Research and Education Association of Australasia (CORE) ranking applications under FOR 4604.

• 2018-2021

  CSIRO - Defence - Advanced Science, Innovation, Multi-national: Developed for the US Army, where large NLP models were used for ROS 2 software security analysis, including vulnerability detection, security compliance and crypto function detection.

• 2019-2021

  CSIRO - Defence - High Impact: Cyber security consultancy to Defence's Renewable Energy and Smart Metering projects to establish a security risk management plan.

• 2018-2020

  CSIRO - SME - Industry Impact: Contributed to CSIRO's kick-start program with projects that helped SMEs Kollakorn and InfinityOptics develop new competitive products.

• 2020-2020

  CSIRO - Cyber Security CRC - High Impact, Public Good: Developed reports on IoT Enabled Systems and IoT Code of Practice adopted by the NSW Government and the Department of Home Affairs (DHA).

• 2018-2019

  CSIRO - AFP - Innovation, High Impact: Developed the Data Airlock technology, which helps the Australian Federal Police to utilise datasets (including evidence of child abuses) that they capture during their criminal investigations. We realised the model-to-data (MTD) computation paradigm in Data Airlock to enable the analysis of illegal-to-share datasets.

• 2018-2018

  CSIRO - Australian Competition & Consumer Commission - High Impact: Cyber security consultancy to CDR - The Consumer Data Right, Australia's legislative, regulatory, and standards framework for consumer data portability.

• 2018-2018

  CSIRO - TGA - High Impact: The first medical device cyber security guidelines worldwide to cover pre- and post-market. Helped international vendors position their products.

• 2017-2019

  High Schools - Giving Back: Hosted high school students for Year 10 Work Experience Program.

• 2013-2017

  QUT - Advanced Science: CII security and source coding for secure data transfer and ransomware prevention. Deputy director for high-degree research students.

• 2007-2013

  TU Berlin - Advanced Science: Amongst the first to inform society on upcoming mobile malware threats and the first Android sandbox for dynamic app analysis. Leading a team in Autonomous Cyber Security.

• 2002-2007

  RPI - Advanced Science: First to introduce design theory to cryptographic key management. ML for social network analysis and formal methods for security assessment of security protocols.

• 1996-2002

  Finance sector: Network and Security Engineer.

Grants

• 2023-2025

  Google Collaboration - Software Supply-Chain Security (with Mission Support) ($1M)

• 2022-2015

  Department of Home Affairs - 6G Security Program ($7.5M)

• 2022-2024

  Cyber Security CRC - Threat Automation and Prioritization of Emails (with DGov) ($540K)

• 2022-2024

  Cyber Security CRC - ACDC Augmenting Cyber Defence Capability (11 Partners) ($900K)

• 2022-2024

  Cyber Security CRC - Privacy Preserving Text Analysis (NSW and WA Governments) ($522K)

• 2022-2024

  Cyber Security CRC - Threat Detection & Response with Heterogeneous Data Sources (with ParaFlare) ($425K)

• 2022-2024

  Cyber Security CRC - Australia’s Data Emerging Privacy Preserving Techniques (with Penten) ($275K)

• 2022-2024

  Cyber Security CRC - SCATES Securing Critical Agriculture Technology and Emerging Solutions (11 Partners) ($320K)

• 2022-2024

  Cyber Security CRC - SOCRATES Software Security with focus on Critical Technologies (11 Partners) ($565K)

• 2022-2024

  Cyber Security CRC - Ransomware resilient file safe havens for cloud data (with NSW and WA Governments) ($320K)

• 2022-2024

  Cyber Security CRC - Sharing Cybersecurity Data for Australian Research ($100K)

• 2022-2024

  Cyber Security CRC - Theme project ($612K)

• 2022-2025

  Quantum Technologies Future Science Platforms (FSP) – Quantum ML ($500K)

• 2021-2023

  Cyber Security CRC - Threat Hunting with Threat Augmentation (with DGov and AARNET) ($480K)

• 2021-2024

  DSTG NGTF - Talos: Towards Trustworthy Machine Learning Models (with UoA and UNSW) ($1.35M)

• 2021-2023

  DSTG NGTF - Kronos: Towards Fast Feedback Fuzzers for Discovering Vulnerabilities in Software Binaries (with UoA, UNSW and Deakin) ($1.2M)

• 2021-2023

  DSTG NGTF - Security Assessment Framework for Next Generation IP Networks (with UoA, UNSW) ($650K)

• 2020-2022

  DSTG NGTF - Towards Robust Learning Systems (with Melbourne, Monash, Swinburne) ($375K)

• 2020-2023

  DSTG NGTF - Adversarial Machine Learning (with Melbourne, Swinburne) ($715K)

• 2020-2022

  DSTG NGTF - Deep Learning for Cyber (with Monash, Swinburne)

• 2020-2020

  Cyber Security CRC - IoT Code of Practice (for DHA) ($40K)

• 2020-2021

  US Army - Crypto Function Detector ($225K)

• 2020-2021

  DoD DREESP - Strategic Cyber Risk Investigation ($180K)

• 2020-2022

  AI for Automating Response to Threats (Massey, Victoria, UQ, MQ, Swinburne, Melbourne)

• 2020-2020

  CSIRO Missions - Supply Chain Integrity – Bio Origin ($120K)

• 2019-2020

  US Army - Assessing the Security and Compliancy of ROS-M Applications ($200K)

• 2019-2021

  Space Technologies FSP Project on extracting randomness from neutron stars (Pulsars) for secure space communication ($267K)

• 2018-2022

  Julius Career Award - Lightweight security through compression codes ($85K)

• 2018-2018

  Kollakorn Corporation Limited - Design and development of revocable biometric signature system ($250K)

• 2018-2023

  Precision Health FSP Project on Data Platform Trust, Security and Privacy

• 2018-2018

  Australian Federal Police (AFP) - Data Airlock ($1100K)

• 2017-2017

  NSW Government - Security of IoT enabled ICS ($240K)

• 2016-2016

  QUT Internal - Unveiling TOR hidden online websites ($30K)

• 2008-2011

  TU-Berlin: EC-FP7 - User centric paradigm for seamless mobility in future Internet (EUR475K, 10 partners from 9 EU countries)

• 2013-2016

  QUT Internal ($90k)

• 2012-2012

  TU-Berlin: EU-EIT ICT - Privacy preserving smart spaces (Lead, 9 partners from 6 EU countries)

• 2010-2012

  TU-Berlin: BMBF-Germany - Intelligent solutions for protecting interdependent CIs (EUR1350K, 13 partners from Germany)

• 2010-2012

  TU-Berlin: Deutsche Telekom AG - Anomaly detection and early warning systems (EUR500K, Partners: T-Labs and BGU)

• 2009-2012

  TU-Berlin: Deutsche Telekom AG - Quantitative IT risk management (EUR400K, Partners: T-Labs, BGU, Stanford University)

• 2009-2010

  TU-Berlin: Deutsche Telekom AG - Graded security (EUR400K, Partners: T-Labs and BGU)

• 2008-2009

  TU-Berlin: Deutsche Telekom AG - Smart mobile (EUR170K, Partners: T-Labs and BGU)

• 2008-2009

  TU-Berlin: Deutsche Telekom AG - Activity-based verification (EUR200K, Partners: T-Labs and BGU)

• 2008-2009

  TU-Berlin: Deutsche Telekom AG - Android security (EUR375K, Partners: T-Labs and BGU)

• 2009-2009

  TU-Berlin: Deutsche Telekom AG - Performance management & optimization (EUR225K, Partners: T-Labs)

• 2002-2007

  Rensselaer Polytechnic Institute: NSF ITR Award # 0324947 (PhD Stipend) - Study of dynamically evolving social groups in communication networks

• 2002-2007

  Rensselaer Polytechnic Institute: NSF ACT Award # 0442154 (PhD Stipend) - Surveillance, analysis and modeling of chatroom communities

• 2002-2007

  Rensselaer Polytechnic Institute: Air Force Research Laboratory Rome/NY, Award # A71039 (PhD Stipend) - Active access control for insider threat detection and response in wireless networks

Community and Corporate Citizenship

• 2024-Onwards

  Senior Area Editor, IEEE Transactions on Information Forensics and Security

• 2017-2022

  IEEE Senior Member

• 2021-2021

  CORE Conference Rankings Panel Member (4604 Cybersecurity and Privacy)

• 2017-2022

  Data61, Hiring Panels' Chair and Member

• 2020-2020

  Data61, Scholarship Committee Member (NSW)

• 2023-2023

  Association for the Advancement of Artificial Intelligence (AAAI), Senior Programme Committee Member

• 2022-2022

  European Symposium on Research in Computer Security (ESORICS), Programme Committee Member

• 2022-2022

  European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Programme Committee Member

• 2022-2022

  IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid), Programme Committee Member

• 2018-2019

  Australasian Computer Science Week (ASCW) Australasian Information Security Conference (AISC), Chair

• 2023-2023

  ACM ASIA Conference on Computer and Communications Security (ASIACCS), Publications Co-Chair

• 2022-2022

  Cryptography: A Cyber Security Toolkit, Special Issue Editor

• 2021-2021

  Trusted Forum Workshop, RMIT, Panelist

• 2022-2022

  CSIRO's Innovate to Grow Cyber Security Program, Speaker

• 2021-2021

  Tech Forum on Vulnerability Detection (TVD), Invited Speaker

Related links

• Personal Home Page
• Google Scholar
• LinkedIn
• Erdos Number - 2
• Mathematics Genealogy
• Scopus
• Research Gate
• ORCID
• Web of Science
• Contributions - Medical Device Security
• Contributions - Medical Device Security
• Contributions - CDR
• Contributions - SME
• buGFinder
• Data Airlock
• Patent - Quantum Machine Learning
• Patent - Pulsar Randomness
• Patent - Ransomware Prevention
• Patent - Website Classification
• Patent - Secure Learning Systems
• Patent - Data Sharing Methods
• Patent - Smartphone Monitoring