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A framework for misuse detection in ad hoc Networks-part I

机译:临时网络中滥用检测的框架-第一部分

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We consider ad hoc networks with multiple, mobile intruders. We investigate the placement of the intrusion detection modules for misuse-based detection strategy. Our goal is to maximize the detection rate subject to limited availability of communication and computational resources. We mathematically formulate this problem, and show that computing the optimal solution is NP-hard. Thereafter, we propose two approximation algorithms that approximate the optimal solution within a constant factor, and prove that they attain the best possible approximation ratios. The approximation algorithms though require recomputation every time the topology changes. Thereafter, we modify these algorithms to adapt seamlessly to topological changes. We obtain analytical expressions to quantify the resource consumption versus detection rate tradeoffs for different algorithms. Using analysis and simulation, we evaluate these algorithms, and identify the appropriate algorithms for different detection rate and resource consumption tradeoffs.
机译:我们考虑具有多个移动入侵者的自组织网络。我们调查基于滥用的检测策略的入侵检测模块的位置。我们的目标是在通信和计算资源有限的情况下,最大化检测率。我们用数学公式表述了这个问题,并表明计算最优解是NP-难的。此后,我们提出了两种近似算法,它们在恒定因子内近似最优解,并证明它们获得了最佳的近似比。但是,每次拓扑更改时,近似算法都需要重新计算。此后,我们修改这些算法以无缝地适应拓扑变化。我们获得分析表达式来量化不同算法的资源消耗与检测率的权衡。通过分析和仿真,我们评估了这些算法,并针对不同的检测率和资源消耗的权衡因素确定了合适的算法。

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