Cyber security (multiparty access control in edge computing)
Campus: Mt Helen
Discipline: Information Technology
Research field: Cyber Security
Key words: Cyber security, SCADA security, IoT security, edge computing, multimedia security
Supervisor(s): Alireza Jolfaei and Iqbal Gondal
Brief Supervisor Bio:
Dr. Alireza Jolfaei Received the Ph.D. degree from Griffith University, Gold Coast, QLD, Australia. He is currently a Lecturer of Networking and Security in the School of Engineering and Information Technology at Federation University Australia, Ballarat, VIC, Australia. Previously, he was an Assistant Professor of Computer Science in the Department of Computer and Information Sciences at Temple University, Philadelphia, Pennsylvania, USA. His educational background and research activities extend across substantive areas in applied mathematical sciences, computer science/engineering, and electrical engineering. His current research areas include cryptology, cyber physical systems security, SCADA security, and network security. He has authored over 30 papers on topics related to cyber security in refereed journals and conference proceedings of international importance. He received the prestigious IEEE Australian council award for his research paper published in the IEEE Transactions on Information Forensics and Security. He has received multiple awards for Academic Excellence, University Contribution, and Inclusion and Diversity Support. He is currently serving as the Chair of Computational Intelligence Society in IEEE Victoria Section, and previously, he served as the Chair of Professional and Career Activities in IEEE Queensland Section. He is a member of the Internet Commerce Security Laboratory (ICSL) and the Centre for Informatics and Applied Optimization (CIAO) at Federation University Australia.
Project Description: Multiparty access control in edge computing
In a large-scale network such as a building or a city-block, the utility of the network is normally monitored and controlled by an edge controller that receives a massive stream of data from heterogeneous, resource-constrained IoT devices. Given such a multi-party environment, it is crucial to support a flexible and powerful access control regime across the data and information generated by each party. A suitable access control becomes essential whenever the service provider needs to work with data coming from multiple edge controllers. In practice, rich and monetisable services would invariably require such collaborations; yet each party needs to ensure that it does not give away data and information any more than necessary for the service. For example, the local police in a city neighbourhood may be interested in purchasing a service that provides audio/video streams of accidents, whereas the city traffic department is only interested in data concerning traffic congestion and intersection safety. In this example, the local police and city traffic department are two end-customers of the edge services and willing to pay for them. Each of these services may be contracted through a service aggregator party that then coordinates with the edge controllers to provide the service. The purpose of this project is to devise mechanisms to define fine-grain access control over data streams that the parties can exploit to provide access control and a way of monetising the accesses by other parties.