- Jinting Zhu, Julian Jang-Jaccard, Amardeep Singh, Ian Welch, Harith AI-Sahaf, Seyit Camtepe, A few-shot meta-learning based siamese neural network using entropy features for ransomware classification, Computers & Security, Volume 117, 2022, 102691, ISSN 0167-4048, https://doi.org/10.1016/j.cose.2022.102691. [CORE B] Venue is considered as a major security journal and ranked as A outside of Australia. Publication is one of the high quality outputs of AU/NZ Cyber Security Research Programme. (AU – Seyit Camtepe, NZ – Julian Jang-Jaccard, Ian Welch).
- Hooman Alavizadeh, Julian Jang-Jaccard, Simon Yusuf Enoch, Harith Al-Sahaf, Ian Welch, Seyit A. Camtepe and Dong Seong Kim, A Survey on Cyber Situation Awareness Systems: Framework, Techniques, and Insights, (to appear) ACM Computing Surveys (ACM CSUR). [CORE A*]. Publication is one of the high quality outputs of the AU/NZ Cyber Security Research Programme project on Artificial Intelligence for Automating Response to Threats (AU – Seyit Camtepe, Dong Seong Kim, NZ – Julian Jang-Jaccard, Ian Welch).
- N. Sun, J. Zhang, S. Gao, L. Y. Zhang, S. Camtepe and Y. Xiang, “Cyber Information Retrieval Through Pragmatics Understanding and Visualization,” in IEEE Transactions on Dependable and Secure Computing, doi: 10.1109/TDSC.2022.3151148. [CORE A]. The paper introduces NN/LSTM methods and a new search engine which makes it possible to conduct augmented search, cybersecurity analytics, and visualization, with the ultimate goal of providing direct and efficient results to help people obtain and truly understand cybersecurity information.
- RI FSP project: We value your opinion! Take a few minutes to fill in our anonymous survey on Ethical risks and challenges for cybersecurity: survey of experts and professionals
This project aims to critically examine how the Australian research and innovation sector is approaching and evaluating the ethical and technical risks and opportunities presented by quantum computing, and its application to cryptography. The outputs of this project will help in the identification of ethical and technical areas of interest and concern, and also to manage the potential impacts of quantum computing to cryptography and cybersecurity in the adoption of quantum technologies. The project is funded by CSIRO’s Responsible Innovation Future Science Platform and CSIRO’s Data61
We are working to better understand the ethical challenges Australia may encounter in a quantum computing driven world. To find out more and participate in an anonymous online survey:
This study is conducted by Dr Rebecca Coates (Project Leader) with Dr Dongxi Lui, Dr Surya Nepal, Professor Josef Pieprzyk, Dr Mohan Baruwal Chhetri, Dr Wei Kang, Dr Selasi Kwashie, Dr Tina Wu and Ms Regine Richelle from CSIRO.
Contact: Dr Rebecca Coates firstname.lastname@example.org
- Seyit Camtepe, Automated software security assessment using ML/NLP, US Army DEVCOM Australia, 5 April 2022.
- Sharif Abuadbba is giving a talk at the I2G workshop, on AI & Cybersecurity @CSIRO Innovate to Grow Program – CSIRO/Industry Expert webinar
- Chamikara Arachchige is giving a talk at the I2G workshop, on Data privacy in distributed data infrastructure @CSIRO Innovate to Grow Program – CSIRO/Industry Expert webinar
- Chamikara Arachchige gave a talk on “Federated Learning, Split Learning, and SplitFed” at the “The RMIT CCSRI Cybersecurity Seminar” on the 1st of April YouTube link: https://www.youtube.com/watch?v=Yk-R7CNlqW0
- ASIACCS 2023 – Melbourne, DSS staff collaborators:
- General Chairs: Joseph Liu and Yang Xiang
- Program Chairs: Surya Nepal, Gene Tsudik
- Publication Co-chairs: Seyit Camtepe, Shifeng Sun
- Web Co-Chairs: Sharif Abuadbba and Shangqi Lai
- Jason (Minhui) Xue joined our group from UoA. Jason Xue is a Senior Research Scientist at CSIRO’s Data61, Australia. His current research interests are machine learning security and privacy, system and software security, and Internet measurement. He is the recipient of the ACM CCS Best Paper Award Runner-Up, ACM SIGSOFT distinguished paper award, Best Student Paper Award, and the IEEE best paper award, and his work has been featured in the mainstream press, including The New York Times, Science Daily, PR Newswire, Yahoo, The Australian Financial Review, and The Courier. He currently serves on the Program Committees of IEEE Symposium on Security and Privacy (Oakland) 2023, ACM CCS 2022, USENIX Security 2022, NDSS 2022, and ACM ICSE 2023. He is a member of both ACM and IEEE.
- PhD student Zhibo Xu from Monash University, Baiqi Chen and Mengyao Ma have commenced.
- Dr Muhammad Usman has joined CSIRO’s DATA61 as a visiting scientist in quantum technologies and will transition to a full-time role later this year.
New PhD opportunities at Data61, for more info and to apply: https://jobs.csiro.au/job/Various-CSIRO-PhD-Top-Up-Scholarships-Data61/784733300/
Achievements/ Good news
- Kristen Moore was a finalist in the Women in AI – Cyber Security category. Kristen and Marthie Grobler attended the gala event on 31 March 2022. Congratulations Kristen!
- Zhi Zhang has been invited to serve as a Technical Program Committee Member of IEEE International Symposium on Secure and Private Execution Environment Design 2022, a premier conference in computer architecture and computer security.
- Confirmation of candidature – David Holmes
Meet some of our new students:
Ruoxi Sun is a PhD candidate of School of Computer Science at the University of Adelaide. His research focuses on the privacy and security of the Android platform, including the first comprehensive study on Android contact tracing applications and a black-box syntax inference approach to fuzzing IoT firmware and Android companion applications, which has resulted in several security vulnerabilities disclosures to vendors with resulting positive feedback as well as the removal of offending apps from the Google Play Store.
- Post-grad representatives a voice for School of Science HDR matters, David Holmes.
AI, Cyber, Modelling and Simulation for SME growth
The AI, Cyber, Modelling and Simulation for SME growth symposium will be delivered in person at the Powerhouse Museum of Applied Arts and Sciences (MAAS) in Sydney, on 2 and 3 May 2022.
The Symposium invites a variety of SMEs, R&D organisations and academic institutions to participate and connect through various topics in the SME growth space. This will enable Australian SMEs to better understand how technologies and digital innovations could be used and can equip them to grow within a digitally enabled environment. We aim to bring about greater awareness of SME engagement in the modelling and simulation, AI and cyber space to create a collaborative Australian network for SME growth.
This two-day Symposium will bring together stakeholders in this space to help SMEs understand how to manage risks in leveraging opportunities presented in the digital technologies space. Discussions will include the complexity, criticality and capability requirements of modelling, simulation, AI and Cyber, as new models of engagement lower technology adoption barriers, and new business and partnership models emerge around R&D driven organisations and universities. The Symposium will facilitate communication and collaboration between research and the Australian SME ecosystem, and grow SMEs’ digital capabilities.
Participation in the Symposium is free of charge, but registration is required. Registered participants will have access to:
- Talks by topic experts
- Panel discussions
- Social networking functions (limited to in-person participants)
For more information please contact the organising team via email@example.com or check our website wp.csiro.au/msccc
Register @ https://www.eventbrite.com.au/e/ai-cyber-modelling-and-simulation-for-sme-growth-symposium-tickets-319093576477?utm_campaign=post_publish&utm_medium=email&utm_source=eventbrite&utm_content=shortLinkNewEmail
Location Sydney | 2-3 May 2022 | Museum of Applied Arts and Sciences
- SAO seminars in collaboration with the Cyber Security CRC
- Human Centric seminars
our next talk: Date: April 27th at 1pm
Speaker: Ganna Pogrebna
Title: The Behavioural Data Science Approach to Cybersecurity
Abstract: Recent advances in artificial intelligence allow us to design new “hybrid” models merging behavioural science and machine learning algorithms. In this talk, I will showcase several recent projects which use a hybrid methodology of behavioural data science to (i) understand people’s risk taking and risk perceptions in cyber spaces; (iii) segment and detect adversarial behaviour; as well as (iii) predict potential targets. The talk will explain the mechanism and potential behind such models using several use cases. It will also demonstrate additional insights which such models deliver beyond traditional machine learning and usual behavioural science methods. Specifically, the talk will show how behavioural data science approach can generate more accurate predictions of human behaviour and help to deliver better organizational outcomes. The talk will also explain how hybrid modelling can help in identification of cybercriminals as well as in using behavioural segmentation to create cybersecurity social marketing campaigns for the general public.
Bio: Ganna Pogrebna is Executive Director of Cyber Security and Data Science Institute at Charles Sturt University and Honourary Professor of Business Analytics and Data Science at the University of Sydney. She is also ESRC-Turing Fellow and Lead for Behavioural Data Science at the Alan Turing Institute in the UK. Her research is on behavioural change for digital security. Ganna’s work was funded by ARC, ONI, NCSC, ESRC, EPSRC, Leverhulme Trust and industry. She is an author of a book for practitioners on cyber security as a behavioural science – “Navigating New Cyber Risks” – as well as blogger at https://www.cyberbitsetc.org/. She published extensively on human behaviour and cyber security in peer-refereed journals. Her risk-tolerance scale for digital security (CyberDoSpeRT) received the British Academy of Management award. She is also the winner of the UK Women in Technology Award for her contributions to cyber security research and practice.