首页> 外文会议>International Conference on Computational Intelligence and Communication Networks >A Study on Intrusion Detection in Wireless Networks by Using Genetic Algorithm Applications
【24h】

A Study on Intrusion Detection in Wireless Networks by Using Genetic Algorithm Applications

机译:基于遗传算法的无线网络入侵检测研究

获取原文

摘要

In today's era of drastically improved technology and increasing scalability for large number of users, need for a secure system has grown immensely. To protect networks from unauthorized entries and hackers, intrusion detection systems provides improved monitoring of malicious entries and provides integrity to the system. This growing problem has motivated widespread research in particular field. Till now, many approaches has been defined by various researchers to improve the detection rate of intrusions over networks. This paper provides a brief study on significance of evolutionary approach genetic algorithm for intrusion detection to classify and detect intrusions. Methodology of genetic algorithm based intrusion detection systems and review on different approaches introduced in the field has been illustrated with the help of flowcharts for easy interpretation. This paper will provide a helpful review to the promising researchers on the relevant topic.
机译:在当今技术急剧改进和为大量用户提供可扩展性的时代,对安全系统的需求已日渐增长。为了保护网络免受未经授权的条目和黑客的侵害,入侵检测系统提供了对恶意条目的改进监控,并为系统提供了完整性。这个日益严重的问题激发了在特定领域的广泛研究。到目前为止,各种研究人员已经定义了许多方法来提高网络上入侵的检测率。本文简要介绍了进化方法遗传算法在入侵检测中对入侵进行分类和检测的意义。借助易于说明的流程图,说明了基于遗传算法的入侵检测系统的方法论以及对本领域引入的不同方法的回顾。本文将为有前途的研究人员就相关主题提供有益的评论。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号