01295nas a2200133   4500008004100000245005500041210005200096300001000148490000600158520090900164100001501073700002001088856005301108       2007                        eng d00aAn Architecture for Automatic and Adaptive Defense0 aArchitecture for Automatic and Adaptive Defense  a37-580 v33 a<p>Network attacks have become so fast that human mitigation cannot cope with security requirements. In addition, attackers have become smarter by creating attacks which mutate themselves to prevent detection. Therefore, defense mechanisms must be automated to keep up with attack speed and adapted to seek out mutations. An architecture to support this trend in defense mechanisms is proposed here. The architecture is based upon three conceptual pillars. First is the use of a multi-feedback loop control to slow down an attack. Second, machine learning concepts are employed to properly distinguish between normal and abnormal e-attack traffic. And, third, trust and reputation levels are determined through social networks. A case study on the application of the proposed architecture to a worm propagation attack provides the initial evidence of the e-attack and applicability of the approach.</p>
1 aDantu, Ram1 aCangussu, João  uhttp://dx.doi.org/10.1080/15536548.2007.10855815