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109. Critical infrastructure protection: A 21st century challenge

Author

Merabti, Madjid, Kennedy, Michael, and Hurst, William

Subjects
Network Security, System-of-Systems Security, Monitoring and Management of Critical Infrastructure Systems, Critical Infrastructure Protection, Serious Games, Security Visualisation
Abstract

Over recent years the depth to which we have grown to rely on networked computer systems as part of the critical national infrastructure has become ever more apparent. Concern over difficulties caused by accidental failures has led to a realisation of the potential for damage that could be caused by targeted attacks and cyber warfare. Current approaches to addressing these problems have tended to focus on traditional security measures, and have not mobilised the full breadth of capabilities provided by digital technologies. In this paper we will explore some of the challenges associated with these developments. We also consider potential solutions, and in particular how a combination of networking, security, advanced gaming, visualisation techniques, and the increasingly blurred boundary between physical and digital entities, can be used to improve protection of critical infrastructure systems.

Published
2011

117. A feasibility study of stateful automaton packet inspection for streaming application detection systems.

Author

Tseng, Kuo-Kun, Lo, Jiao, Liu, Yiming, Chang, Shih-Hao, Merabti, Madjid, Ng, Felix, C. K., and Wu, C. H.

Subjects
DEEP packet inspection (Computer security), FIREWALLS (Computer security), INTERNET security, AUTOMATION, COMPUTER network security, INTERNET
Abstract

The rapid development of the internet has brought huge benefits and social impacts; however, internet security has also become a great problem for users, since traditional approaches to packet classification cannot achieve satisfactory detection performance due to their low accuracy and efficiency. In this paper, a new stateful packet inspection method is introduced, which can be embedded in the network gateway and used by a streaming application detection system. This new detection method leverages the inexact automaton approach, using part of the header field and part of the application layer data of a packet. Based on this approach, an advanced detection system is proposed for streaming applications. The workflow of the system involves two stages: the training stage and the detection stage. In the training stage, the system initially captures characteristic patterns from a set of application packet flows. After this training is completed, the detection stage allows the user to detect the target application by capturing new application flows. This new detection approach is also evaluated using experimental analysis; the results of this analysis show that this new approach not only simplifies the management of the state detection system, but also improves the accuracy of data flow detection, making it feasible for real-world network applications. [ABSTRACT FROM PUBLISHER]

Published
2017
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123. Pypette

Author

Lempereur, Brett, primary, Merabti, Madjid, additional, and Shi, Qi, additional

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