DGAs死路一条:使用AI检测恶意域

Network Security Pub Date : 2022-06-01 DOI:10.12968/s1353-4858(22)70042-6

Bharathasimha Reddy D, Srilekha Talluri, Ruthvik Reddy SL, Amit Nagal, Aditya K. Sood

{"title":"DGAs死路一条:使用AI检测恶意域","authors":"Bharathasimha Reddy D, Srilekha Talluri, Ruthvik Reddy SL, Amit Nagal, Aditya K. Sood","doi":"10.12968/s1353-4858(22)70042-6","DOIUrl":null,"url":null,"abstract":"Cyber attacks are occurring at an exponential rate. Adversaries are opting for advanced techniques to abuse network protocols for conducting unauthorised operations. Domain generation algorithms (DGAs) are designed by malware authors to trigger malicious DNS communication. This article looks at the current state of DNS-based threats and how to detect DGA-based malicious DNS communication.","PeriodicalId":100949,"journal":{"name":"Network Security","volume":"20 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"DGAs die hard: detecting malicious domains using AI\",\"authors\":\"Bharathasimha Reddy D, Srilekha Talluri, Ruthvik Reddy SL, Amit Nagal, Aditya K. Sood\",\"doi\":\"10.12968/s1353-4858(22)70042-6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Cyber attacks are occurring at an exponential rate. Adversaries are opting for advanced techniques to abuse network protocols for conducting unauthorised operations. Domain generation algorithms (DGAs) are designed by malware authors to trigger malicious DNS communication. This article looks at the current state of DNS-based threats and how to detect DGA-based malicious DNS communication.\",\"PeriodicalId\":100949,\"journal\":{\"name\":\"Network Security\",\"volume\":\"20 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Network Security\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.12968/s1353-4858(22)70042-6\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Network Security","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12968/s1353-4858(22)70042-6","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

摘要

网络攻击正以指数级的速度发生。攻击者正在选择先进的技术来滥用网络协议进行未经授权的操作。域生成算法(DGAs)是由恶意软件作者设计的，用于触发恶意DNS通信。本文介绍了基于DNS的威胁的当前状态，以及如何检测基于dga的恶意DNS通信。

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

DGAs die hard: detecting malicious domains using AI

Cyber attacks are occurring at an exponential rate. Adversaries are opting for advanced techniques to abuse network protocols for conducting unauthorised operations. Domain generation algorithms (DGAs) are designed by malware authors to trigger malicious DNS communication. This article looks at the current state of DNS-based threats and how to detect DGA-based malicious DNS communication.

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

Network Security

自引率

0.00%

发文量