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The Design and Implementation of a Practical Meta-Heuristic for the Detection and Identification of Denial-of-Service Attack Using Hybrid Approach

机译:使用混合方法检测和识别拒绝服务攻击的实用元启发式的设计与实现

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Network attacks are occurring continuously day after day. The researchers are expected to find the solution by identifying the address of source. We propose the IP traceback ant colony system (ITACS) algorithm to solve the IP traceback of denial of service (DoS) problem. The ITACS is novel attempted to apply in solving the problem. It is a meta- heuristic algorithm, which is a technique applies so that attack detection and attack identification can be implemented. The proposed algorithm has improved by the previous one to conquer this problem successfully. We obtained the data set of topology from one of famous research organizations for the experiment. The parameters of algorithm are considered by packet contents in topology. In the meanwhile, we discussed the increment of traffic condition. By the experiment, the examples of increment of traffic are above average 70%. The results show that the performance of ITACS algorithm is efficient and accurate. Furthermore, the proposed algorithm has also nature of robust for the problem. Future work may even be extended to study the other behaviors of organisms from derivations of meta-heuristic algorithm.
机译:日复一日的网络攻击是不断的。预计研究人员将通过识别来源的地址来找到解决方案。我们提出了IP Traceback蚁群系统(ITACS)算法来解决拒绝服务(DOS)问题的IP追踪。 ITACS是新颖的,试图解决解决问题。它是一种元启发式算法,它是一种技术,以便可以实现攻击检测和攻击识别。所提出的算法通过前一个算法改进了成功征服这个问题。我们获得了来自着名研究组织的数据集的实验。拓扑中的分组内容考虑了算法参数。同时,我们讨论了交通状况的增量。通过实验,流量增量的例子高于平均值70%结果表明,ITACS算法的性能有效准确。此外,所提出的算法也对这个问题具有鲁棒性的性质。甚至可以扩展未来的工作以研究Meta-heuristic算法的衍生物的其他行为。

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