{"title":"BotShark — Detection and prevention of peer-to-peer botnets by tracking conversation using CART","authors":"Pooja M. Pondkule, B. Padmavathi","doi":"10.1109/ICECA.2017.8203690","DOIUrl":null,"url":null,"abstract":"Botnets are networks of malware-compromised machines that are controlled by an opponent are the cause of a large number of problems on the internet. They are increasing faster than any other type of malware and have created a huge army of hosts over the internet. Managed by the Botmaster, they conduct distributed denial-of-service (DDoS) attacks, email spamming, key logging, abusing online advertisements, spreading new malware, etc. Today, the Botnet population is growing rapidly and they represent some computer armies and have become a huge threat on the Internet. In this work, we have proposed new network defense system for detection and prevention of peer-to-peer botnets by tracking conversation using CART.","PeriodicalId":222768,"journal":{"name":"2017 International conference of Electronics, Communication and Aerospace Technology (ICECA)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International conference of Electronics, Communication and Aerospace Technology (ICECA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICECA.2017.8203690","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Botnets are networks of malware-compromised machines that are controlled by an opponent are the cause of a large number of problems on the internet. They are increasing faster than any other type of malware and have created a huge army of hosts over the internet. Managed by the Botmaster, they conduct distributed denial-of-service (DDoS) attacks, email spamming, key logging, abusing online advertisements, spreading new malware, etc. Today, the Botnet population is growing rapidly and they represent some computer armies and have become a huge threat on the Internet. In this work, we have proposed new network defense system for detection and prevention of peer-to-peer botnets by tracking conversation using CART.