{"title":"BotShark -通过使用CART跟踪对话来检测和预防点对点僵尸网络","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":"{\"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}","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}
BotShark — Detection and prevention of peer-to-peer botnets by tracking conversation using CART
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.