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Exploring the applicability of membrane computing to network security

机译:探索膜计算到网络安全的适用性

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Investigating the existing approaches of tackling various network security challenges can never be totally exhausted because a perfect and completely secured system is yet unborn! Hence by so doing, their weaknesses would be highlighted with a view to introducing other methods which offer better and more efficient benefits. Membrane computing (MC) is a versatile, non-deterministic and maximally parallel computing device which was inspired by the functioning of living biological cells. The aim of this article therefore is to take a deeper look at concepts within Network security systems (NSS) and especially that of membrane system. Furthermore, based on the inherent benefits of MC and areas where it has been applied successfully, we (i) project a link between it and NSS and (ii) propose MC as an alternative veritable tool towards solving some of the problems of NSS such as packet dropping in Intrusion Detection System (IDS) which usually emanates from systems' inability to handle large traffic data. This was experimented using a model built on recognizer Tissue P system on GPU and the initial results obtained show that our method yields better detection speedup.
机译:调查解决各种网络安全挑战的现有方法不能完全被耗尽,因为一个完美的和完全安全的系统是尚未出生!因此,通过这样做,他们的弱点会以引入它们提供更好,更快捷的好处其他方法强调。膜计算(MC)是将其通过活的生物细胞的功能的启发一个多功能的,非确定性的并且最大限度并行计算装置。因此本文的目的是采取在网络安全系统(NSS)和特别是膜系统内的概念深入研究一下。此外,基于它已成功地应用于MC和地区的固有优势,我们(我)项目,并NSS之间的联系(二)提出MC是朝着解决一些NSS等问题的替代名副其实的工具在入侵检测系统(IDS),其通常是从系统无法处理大流量的数据发出分组丢弃。这是使用内置识别组织P制对GPU的模型和最初得到的结果显示,我们的方法产生更好的检测试验加速。

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