基于遗传编程的WiFi数据链路层攻击检测

4th Annual Communication Networks and Services Research Conference (CNSR'06) Pub Date : 2006-05-24 DOI:10.1109/CNSR.2006.30

P. LaRoche, A. N. Zincir-Heywood

{"title":"基于遗传编程的WiFi数据链路层攻击检测","authors":"P. LaRoche, A. N. Zincir-Heywood","doi":"10.1109/CNSR.2006.30","DOIUrl":null,"url":null,"abstract":"This paper presents a genetic programming based detection system for data link layer attacks on a WiFi network. We explore the use of two different fitness functions in order to achieve both a high detection rate and a low false positive rate. Results show that the detection system developed can achieve a detection rate above 90% and a false positive rate below 1%","PeriodicalId":425107,"journal":{"name":"4th Annual Communication Networks and Services Research Conference (CNSR'06)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"22","resultStr":"{\"title\":\"Genetic programming based WiFi data link layer attack detection\",\"authors\":\"P. LaRoche, A. N. Zincir-Heywood\",\"doi\":\"10.1109/CNSR.2006.30\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a genetic programming based detection system for data link layer attacks on a WiFi network. We explore the use of two different fitness functions in order to achieve both a high detection rate and a low false positive rate. Results show that the detection system developed can achieve a detection rate above 90% and a false positive rate below 1%\",\"PeriodicalId\":425107,\"journal\":{\"name\":\"4th Annual Communication Networks and Services Research Conference (CNSR'06)\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-05-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"22\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"4th Annual Communication Networks and Services Research Conference (CNSR'06)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CNSR.2006.30\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"4th Annual Communication Networks and Services Research Conference (CNSR'06)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CNSR.2006.30","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 22

摘要

提出了一种基于遗传编程的WiFi网络数据链路层攻击检测系统。我们探索了两种不同适应度函数的使用，以实现高检测率和低假阳性率。结果表明，该检测系统的检出率在90%以上，假阳性率在1%以下

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Genetic programming based WiFi data link layer attack detection

This paper presents a genetic programming based detection system for data link layer attacks on a WiFi network. We explore the use of two different fitness functions in order to achieve both a high detection rate and a low false positive rate. Results show that the detection system developed can achieve a detection rate above 90% and a false positive rate below 1%

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

4th Annual Communication Networks and Services Research Conference (CNSR'06)

自引率

0.00%

发文量