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SDCI Sec: Passive and Active DNS Monitoring Tools for Detecting and Tracking the Evolution of Malicious Domain Names

SDCI Sec: Passive and Active DNS Monitoring Tools for Detecting and Tracking the Evolution of Malicious Domain Names
SDCI Sec:用于检测和跟踪恶意域名演变的被动和主动 DNS 监控工具
批准号:
1127195
负责人:
Roberto Perdisci
金额:
$38.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2011
资助国家:
美国
项目状态:
已结题
起止时间:
2011-09-01 至 2019-08-31

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中文摘要
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英文摘要
Recently cyber-criminals have been leveraging the domain name system (DNS) to build agile malicious network infrastructures in support of their criminal activities. For example, botnets and other types of malware typically use DNS to locate their command-and-control (C&C) servers. Another example of such malicious use of DNS is represented by flux networks, which make use of fast-flux domains, i.e., domains whose set of resolved IPs changes abnormally frequently, to support spam campaigns, phishing websites, browser exploits, etc.In this project, the PIs will develop a suite of open-source tools that use passive and active DNS traffic monitoring to detect and track the evolution in time of malicious domains. In particular, the PIs will develop and publicly release FluxBuster, a system that is able to detect flux networks "in the wild" by passively monitoring DNS traffic collected from many different networks through the ISC Security Information Exchange (ISC/SIE) framework. Along with FluxBuster, the PIs will develop and release DNS monitoring tools that leverage passive and active approaches to detect and track the evolution in time of malware-related (e.g., C&C) domain names.The PIs plan to deploy the proposed tools and make their results available to the security community. This project can therefore broadly benefit society, in that it produces results that are readily usable by security researchers, network operators, and law enforcement agencies to identify and block malicious domains and combat cyber-criminal activities, thus contributing to making the Internet more secure.
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Collaborative Research: SaTC: CORE: Medium: Defending Against Social Engineering Attacks with In-Browser AI
EAGER: Collaborative: Leveraging High-Density Internet Peering Hubs to Mitigate Large-Scale DDoS Attacks
TWC: Medium: Collaborative: Exposing and Mitigating Cross-Channel Attacks that Exploit the Convergence of Telephony and the Internet
CAREER: Automatic Learning of Adaptive Network-Centric Malware Detection Models
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