Research Group Network and Systems Engineering Cyber Security
It is surprisingly often that the world, usually unconscious of the risks though sometimes conscious of them, falls on new developments such as the Internet of Things (the linking of devices via the ‘cloud’). This already leads to record DDoS (Distributed Denial of Service) attacks, but in the future, may also lead, for example, to mobile network failures or power cuts or a combination of both. Cybersecurity is relevant to all disciplines.
The Network and Systems Engineering Cyber Security research group focuses on three key areas:
- Identity and Access Management
How we determine who can access a system and when that access is acceptable. - System Security, with an emphasis on the Internet of Things
New applications enable uses to use the data in their devices safely - Usable Security
Finally, Usable Security investigates the intersection between application security and human factors: how can we build secure systems that users want to use rather that looking for ways around them?
All of these are increasingly important, as they are of great societal and economic significance. As cybersecurity is relevant to all disciplines and a must for every professional, whether we are talking about the health industry or in the economic domain where new e-commerce business models arise continuously. That is why the research group works together with all the research platforms, but primarily with Good Governance for a Safe World. This requires multidisciplinary research combined with the expertise from, for example, legal specialists and public administration officials.
Team
Saman Barjas
Michael Gilhespy
Bernard van der Helm
Daniel Meinsma
Saman Barjas
Michael Gilhespy
Bernard van der Helm
Daniel Meinsma
Projects
DurableCASE: robotic vehicles in the agricultural sec-tor
Internship & Thesis Projects
Previous student projects
Publications
Thesis
Secure Naming for Distributing Computing using the Condensed Graph Model
Article
Cloud-Based Intelligence Aquisition and Processing for Crisis Management
Thesis
Secure Naming for Distributing Computing using the Condensed Graph Model
Implementing a distributed computation architecture has several basis functional requirements, such as load balancing, fault tolerance and security. The challenge is in how you manage these requirements as a whole. Security is a specific problem in that it is made up of a number of important aspects, such as confidentiality, integrity and availability. Each of these aspects is vital in a distributed system.One important aspect of security is access control. The central premise of this thesis is: “If you can name it, you can control access to it”.This dissertation examines the security requirements of the WebCom distributed computing environment and develops the security architecture for WebCom, primarily to provide a systematic access control mechanism for condensed graph applications.The flexibility of this architecture is demonstrated with a number of case studies, including a micropayment architecture for distributed computations, an automated administration architecture for Grid and an activity based secure workflow architecture.
T.B. Quillinan. Secure Naming for Distributing Computing using the Condensed Graph Model. Ph.D. Thesis. University College Cork, Cork, Ireland. July 2006.
Article
Cloud-Based Intelligence Aquisition and Processing for Crisis Management
Contemporary crisis management has to deal with complex socio-technical environments involving many interdependent elements. Many dependencies in such settings result in complex cascading processes that can have adverse effects on the population, environment, and economy. Adequate situation awareness and the capability to
predict the development of a crisis situation under different circumstances is a critical element of effective, and timely, crisis management and response.
de Oude, Patrick; Pavlin, Gregor; Quillinan, Thomas; Jeraj, Julij, and Abouhafc, Abdelhaq. (2017). Cloud-Based Intelligence Aquisition and Processing for Crisis Management. 133-153. 10.1007/978-3-319-52419-1_9