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Cloud services are exploding and organizations are converging their data centres in order to take advantage of the predictability, continuity, and quality of service delivered by virtualization technologies. In parallel, energy-efficient and high-security networking is of increasing importance. Network operators, service and product providers require a new(More)
This paper presents the research in converting known DPI rule-sets into a meta format based on regular expression, that can be executed by a software and hardware-based processing platforms. To demonstrate this work a Snort2Regex translator has been developed to transform Snort rules into regular expressions using not only the content of the Snort rule but(More)
— Mobile malware has been growing in scale and complexity as smartphone usage continues to rise. Android has surpassed other mobile platforms as the most popular whilst also witnessing a dramatic increase in malware targeting the platform. A worrying trend that is emerging is the increasing sophistication of Android malware to evade detection by traditional(More)
General rights Copyright for the publications made accessible via the Queen's University Belfast Research Portal is retained by the author(s) and / or other copyright owners and it is a condition of accessing these publications that users recognise and abide by the legal requirements associated with these rights. Take down policy The Research Portal is(More)
—We approach the construction of design methodolo-gies for on-chip multiprocessor platforms, with the focus on the SegBus, a segmented bus platform. We study how applications can be mapped on such distributed architecture and show how to build the concrete level software procedures that will coordinate the control flow on the platform. The approach employs(More)
— With over 50 billion downloads and more than 1.3 million apps in Google's official market, Android has continued to gain popularity amongst smartphone users worldwide. At the same time there has been a rise in malware targeting the platform, with more recent strains employing highly sophisticated detection avoidance techniques. As traditional signature(More)
—The battle to mitigate Android malware has become more critical with the emergence of new strains incorporating increasingly sophisticated evasion techniques, in turn necessitating more advanced detection capabilities. Hence, in this paper we propose and evaluate a machine learning based approach based on eigenspace analysis for Android malware detection(More)