23rd Australasian Conference on Information Security and Privacy
July 11-13, 2018, Wollongong, Australia

Keynote Speakers

Robert H. Deng

Singapore Management University, SG

Title: Strengthening the weakest links in IoT Security

Abstact: The spectacular growth of IoT devices and services will create immense opportunities and benefits for our society we cannot even predict today. A smart home enables its residents to adjust room temperature before they get home and a smart washing machine automatically orders detergent before it runs out. Sensors on a car alert its driver of dangerous road conditions and networked cars notify first responders when an accident happens. IoT security, however, has not kept up with the rapid pace of innovation and deployment, creating substantial privacy and safety risks. This talk will provide an in-depth analysis on the challenging nature of IoT security and elaborate what are its weakest links - from weakness of IoT devices, input pollutions, to the potential impact of AI. The talk will share some of the recent research findings and identify important but challenging research issues.

Bio: Robert Deng is AXA Chair Professor of Cybersecurity and Director of the Secure Mobile Centre, Singapore Management University (SMU). His research interests are in the areas of data security and privacy, network security and Internet of Things security. He received the Outstanding University Researcher Award from National University of Singapore, Lee Kuan Yew Fellowship for Research Excellence from SMU, and Asia-Pacific Information Security Leadership Achievements Community Service Star from International Information Systems Security Certification Consortium. His professional services include the editorial boards of IEEE Security & Privacy Magazine, IEEE Transactions on Dependable and Secure Computing, IEEE Transactions on Information Forensics and Security, Steering Committee Chair of the ACM Asia Conference on Computer and Communications Security, and member of Scientific Advisory Committee of Huawei Research Singapore. He is an IEEE Fellow.

Patrizio Campisi

Department of Engineering, Section of Applied Electronics, Roma TRE University, IT

Title: Cognitive biometrics: a new frontier in identity science

Abstact: Biometric systems are becoming more and more part of our everyday life being used from mobile phone or computer unlocking to secure financial transactions. In this scenario, conventional biometrics, like fingerprints, face, iris, and signature, are the most widely used biometric identifiers. However, in the recent years, the interest of both the academia and industry towards the use of cognitive biometrics for automatic people recognition, is constantly growing. Cognitive biometrics exploit nervous tissues’ responses collected either in correspondence of an external stimulus or during the execution of a task and present an intrinsic robustness to presentation attacks which makes them appealing for high secure applications. In this talk, we focus on the use of brain signals as potential biometric identifier. Specifically, among the different brain activity acquisition modality, we speculate on electroencephalographic (EEG) signals, as emerging biometric identifiers. Despite the fact that EEG biometrics has been postulated in 1985, many fundamental questions still remain open and need a deeper and systematic investigation. EEG permanence, EEG signal modeling and features discriminative capabilities, the optimization of the acquisition procedure, including the design of appropriate elicitation protocols, and the minimization of the acquisition time, are some of the aspects that will be critically discussed in this talk towards the deployment of EEG biometrics in real life applications.

Bio: Patrizio Campisi (http://biomedia4n6.uniroma3.it/staff/campisi.html) received the Ph.D. degree in electrical engineering from Roma Tre University, Rome, Italy, where he is currently a Full Professor with the Section of Applied Electronics, Department of Engineering. His current research interests are in the area of secure multimedia communications and biometrics. He is the General Chair of the 26th European Signal Processing Conference EUSIPCO 2018 (www.eusipco2018.org), September 2018, Rome, Italy. He has been the General Chair of the seventh IEEE Workshop on Information Forensics and Security (WIFS) 2015, Rome, Italy, and of the 12th ACM Workshop on Multimedia and Security, Rome, Italy in 2010. He is the Editor of the book Security and Privacy in Biometrics (Springer, 2013). He is a Co-Editor of the books Blind Image Deconvolution: Theory and Applications (CRC press, 2007), and High Dynamic Range Video, Concepts, Technologies and Applications (Academic Press, 2016). He is currently Editor-in-Chief of IEEE Transactions on Information Forensics and Security. He is the Chair of the IEEE Technical Committee on Information Forensics and Security (2017–2018) and Chair of the Biometric Council, IEEE Italy Section. He has been the IEEE SPS Director Student Services (2015–2017) and a member of the IEEE Certified Biometric Program Learning System Committee.

Wanlei Zhou

University of Technology Sydney, AU

Title: Location Privacy and its Applications

Abstact: In this talk we first systematically present the current research status of the location privacy issue, including the location privacy definition, the attacks and adversaries, the location privacy preserving mechanisms, the location privacy metrics, and the current status of location based applications. Then we will present two application cases related to location privacy. The first applicaiton case is to enhace privacy of location-based services (LBS) in wireless vehicular networks, where we develop an LBS privacy-enhancing scheme that is dedicated to the vehicular environment by exploring the unique features of queries from in-vehicle users. The second application case is to deal with the trajectory privacy preserving in mobile crowd sensing (MCS), where we develop a location privacy preserving framework based on economic models for MCS applications.

Bio: Professor Wanlei Zhou received the B.Eng and M.Eng degrees from Harbin Institute of Technology, Harbin, China in 1982 and 1984, respectively, and the PhD degree from The Australian National University, Canberra, Australia, in 1991, all in Computer Science and Engineering. He also received a higher Doctorate degree, the DSc degree, from Deakin University in 2002. He is currently the Alfred Deakin Professor, Chair of Information Technology, and Associate Dean (International Research Engagement) of Faculty of Science, Engineering and Built Environment, Deakin University. Professor Zhou has been the Head of School of Information Technology twice (Jan 2002-Apr 2006 and Jan 2009-Jan 2015) and Associate Dean of Faculty of Science and Technology in Deakin University (May 2006-Dec 2008). Before joining Deakin University, Professor Zhou served as a lecturer in University of Electronic Science and Technology of China, a system programmer in HP at Massachusetts, USA; a lecturer in Monash University, Melbourne, Australia; and a lecturer in National University of Singapore, Singapore. His research interests include distributed systems, network security and privacy, bioinformatics, and e-learning. Professor Zhou has published more than 400 papers in refereed international journals and refereed international conferences proceedings. He has also chaired many international conferences.

Surya Nepal

Principal Research Scientist, CSIRO Data61, AU

Title: Security and Privacy Challenges in Edge Computing

Abstact: Applications utilizing Internet of Things (IoT) devices are increasingly generating huge amounts of data. In order to effectively analyze the vast quantities of data generated by these devices, it becomes imperative to build scalable, distributed systems that can respond to this data management and analysis challenge. Performing all computations at a cloud data center has shortcomings, as it places a heavy load on the cloud infrastructure. This can cause response time delays to user applications. This delay may be acceptable for applications such as web browsing, for others such as interactive gaming, this delay could be unacceptable. This is where edge computing devices could play a role. If some of the computation could be performed close to the user(s) at the network edge, the response times could greatly improve. Edge computing extends a traditional cloud data centre model often by using a microdata centre at the network edge for computation and storage. As these edge devices are in proximity to users, this results in improved application response times and reduces load on the cloud data center. However, edge computing brings its own challenges in terms of security and privacy. This talk will share some of the key privacy and security challenges in developing and deploying applications at the network edge.

Bio: Dr Surya Nepal is a Principal Research Scientist at CSIRO Data61 and leads the distributed systems security research group comprising 10+ staff and 40+ PhD students. He has been with CSIRO since 2000. Over the last 17 years, his main research focus has been in the development and implementation of technologies in the area of distributed systems (including cloud, IoT and edge computing) and social networks, with a specific focus on security, privacy and trust. He obtained his BE from National Institute of Technology (NIT) Surat, India; ME from Asian Institute of Technology (AIT), Thailand; and PhD from RMIT University, Australia. He has more than 200 peer-reviewed publications to his credit; his papers are published in international journals such as IEEE Trans. Parallel and Distributed Systems, IEEE Trans. on Service Computing, ACM Trans. on Internet Technologies, and IEEE Trans. on Computers. He has co-edited three books including security, privacy and trust in cloud systems by Springer, and co-invented 3 patents. He currently serves as an associate editor in an editorial board of IEEE Transactions on Service Computing.