3 resultados para bodyguard

em Deakin Research Online - Australia


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Today's security program developers are not only facing an uphill battle of developing and implementing. But now have to take into consideration, the emergence of next generation of multi-core system, and its effect on security application design. In our previous work, we developed a framework called bodyguard. The objective of this framework was to help security software developers, shift from their use of serialized paradigm, to a multi-core paradigm. Working within this paradigm, we developed a security bodyguard system called Farmer. This abstract framework placed particular applications into categories, like security or multi-media, which were ran on separate core processors within the multi-core system. With further analysis of the bodyguard paradigm, we found that this paradigm was suitable to be used in other computer science areas, such as spam filtering and multi-media. In this paper, we update our research work within the bodyguard paradigm, and showed a marked improvement of 110% speedup performance with an average cost of 1.5 ms.

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Previous work, in the area of defense systems has focused on developing a firewall like structure, in order to protect applications from attacks. The major drawback for implementing security in general, is that it affects the performance of the application they are trying to protect. In fact, most developers avoid implementing security at all. With the coming of new multicore systems, we might at last be able to minimize the performance issues that security places on applications. In our bodyguard framework we propose a new kind of defense that acts alongside, not in front, of applications. This means that performance issues that effect system applications are kept to a minimum, but at the same time still provide high grade security. Our experimental results demonstrate that a ten to fifteen percent speedup in performance is possible, with the potential of greater speedup.

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Distributed Denial of Service attacks is one of the most challenging areas to deal with in Security. Not only do security managers have to deal with flood and vulnerability attacks. They also have to consider whether they are from legitimate or malicious attackers. In our previous work we developed a framework called bodyguard, which is to help security software developers from the current serialized paradigm, to a multi-core paradigm. In this paper, we update our research work by moving our bodyguard paradigm, into our new Ubiquitous Multi-Core Framework. From this shift, we show a marked improvement from our previous result of 20% to 110% speedup performance with an average cost of 1.5 ms. We also conducted a second series of experiments, which we trained up Neural Network, and tested it against actual DDoS attack traffic. From these experiments, we were able to achieve an average of 93.36%, of this attack traffic.