講座主題：Swinburne Cybersecurity Research on Cyber Threat Intelligence
In the new digital era, we have realized the importance and urgency to deal with the ever- changing cyber-attacks. This talk will introduce the cybersecurity research on threat intelligence at Swinburne University of Technology. Cybersecurity is now more proactive than reactive. Machine learning for cyber threat intelligence receives an increasingly popular favour. It is a new and hot research direction primarily concerned with the analysis, collection, processing, classification, visualisation, explanation of social information to protect cyber space. However, cyber threat intelligence has still a long way to go because of the cyber semantic gap that characterises the difference between machine intelligence and human intelligence when facing sophisticated cyber-attacks. There are a number of new research challenges, for example, attacker-defender game, lack of reliable cyber ground truth, imbalanced benign-malicious dataset, the tragedy of metrics, attack domain adaptation, and cyber concept drift. The Swinburne cybersecurity lab has done a series of research works on cyber threat intelligence to reduce the cyber semantic gap. The research cases include deep neural model for software vulnerability discovery, cybersecurity incident prediction with knowledge graph, and adversarial android malware.Energy informatics is envisioned to be a new research field. The main goal is to tackle the future global warming and climate change challenges, by exploring advanced ICT theories and tools to solve energy-related problems. The scope of energy informatics include the next-generation communications, computing and control technologies (e.g., 5G, big data, cloud computing); and their applications in the energy sectors (e.g., smart grid, gas, oil, PV and wind systems). This talk has three parts. In the first part, we introduce the key concepts, crucial ICT tools and architectures in energy informatics. Then, we focus on demand response for green and dependable smart power grid systems. Finally, we present our recent studies on electric vehicles and Vehicle-to-Grid networks.
Associate Professor Jun Zhang received his Ph.D. degree in computer science from the University of Wollongong, Australia. He is the Co-founder and Director of the key Cybersecurity Lab, Swinburne University of Technology, Australia. His research interests include cybersecurity and applied machine learning. In particular, he is currently leading his team developing intelligent defence systems against sophisticated cyber attacks. He is the Chief Investigator of several projects in cybersecurity, funded by the Australian Research Council (ARC). He has published more than 100 research papers in many international journals and conferences, such as the IEEE Communications Surveys and Tutorials, IEEE Transactions on Dependable and Secure Computing, IEEE Transactions on Information Forensics and Security, and The ACM Conference on Computer and Communications Security. Two of his papers were selected as the featured articles in the July/August 2014 issue of IEEE Transactions on Dependable and Secure Computing and the March/April 2016 issue of IEEE IT Professional. His research has been widely cited in the area of cybersecurity. He has been internationally recognised as a research leader in cybersecurity, evidenced by his chairing of 10 international conferences, and presenting of invited keynote addresses in 5 conferences and an invited lecture in IEEE SMC Victorian Chapter. He is an IEEE senior member.