A Novel Cloud Computing System Intrusion Detection Model Based on Modified Genetic Algorithm

Wen-zhun HUANG, Xin-xin XIE

Abstract


In this paper, we propose novel cloud computing system intrusion detection model based on the modified genetic algorithm. Intrusion detection system as an important part of network security technology, in recent years has been rapid development, and technology already quite mature, today's mainstream IDS need to constantly upgrade feature library to ensure detection rules to prevent a new attack behavior, but for the IDS for a wider range of application, also must improve the test efficiency, reduce false positives and non-response rates. It depends on how the further research, including the new test model and detection method is put forward. In addition, the detection rules of good direction for the development of the study do not lose the IDS. In our method, the enhanced genetic algorithm is applied to optimize the traditional approaches.

Keywords


Cloud computing, Intrusion detection, Genetic algorithm, Modification, Model

Publication Date


2016-12-21 00:00:00


DOI
10.12783/dteees/seeie2016/4557

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