|Location||University of Newcastle, Engineering and Built Environment|
|Eligibility||Australian residents only|
Cyber Security -- Advanced Authorization Infrastructures for Distributed Autonomic Systems
Cyber Security PhD Scholarship – The University of Newcastle with the Defense Science and Technology (DST) Group
Supervisors: Prof. Vijay Varadharajan, The University of Newcastle and Dr. Anton V. Uzunov, DST Group
Topic Area: Advanced Authorization Infrastructures for Distributed Autonomic Systems
Autonomic computing – or equivalently, self-adaptive computing – is concerned with supporting dynamic system evolution in response to changing internal or external circumstances, by endowing systems with automated self-management capabilities, thereby turning ordinary software systems into autonomic systems (or equivalently, self-adaptive or self-managing systems). One of the core properties whose enforcement leads to supporting such self-management capabilities is self-protection, which can be defined as a system’s ability to anticipate, to prevent, to detect and guard itself against cyber security threats.
A significant problem with self-protection is how to constrain and control system actions, which involves aspects such as specification of privileges to perform actions, propagation of privileges in a distributed environment and their enforcement in heterogeneous systems and devices, ranging from cloud servers to mobile Internet of Things.
The project is expected to investigate cryptographically enforced access control models and distributed capability-based models. The research will consider how access classes and capabilities with different privileges can be specified, keys and capabilities can be securely propagated in distributed, heterogeneous environments, how access to services and to devices/nodes should be enforced in a decentralized context, and what adaptation mechanisms should be applied in response to changing system/operational conditions.
The project will involve the design of security architecture, development of new algorithms as well as the development of proof-of-concept implementations or case studies to validate the developed models and techniques in simulated or real-life scenarios. It is envisioned that the outcomes and outputs of the project will be specifically applicable to both IoT and autonomous cyber defense scenarios, and all case studies and/or application examples will be drawn from these areas.
Scholarship Duration: 3 and ½ years
· Australian Citizenship required.
· Must be Motivated and Committed to Doing Research
· Knowledge of Cryptography and Security Techniques will be helpful.
Application Deadline: 30 June 2017
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Further Information / Application Enquiries
Dr Anton Uzunov