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INFOCOM
2010
IEEE

Malicious Hubs: Detecting Abnormally Malicious Autonomous Systems

13 years 10 months ago
Malicious Hubs: Detecting Abnormally Malicious Autonomous Systems
—While many attacks are distributed across botnets, investigators and network operators have recently targeted malicious networks through high profile autonomous system (AS) de-peerings and network shut-downs. In this paper, we explore whether some ASes indeed are safe havens for malicious activity. We look for ISPs and ASes that exhibit disproportionately high malicious behavior using 12 popular blacklists. We find that some ASes have over 80% of their routable IP address space blacklisted and others account for large fractions of blacklisted IPs. Overall, we conclude that examining malicious activity at the AS granularity can unearth networks with lax security or those that harbor cybercrime.
Andrew J. Kalafut, Craig A. Shue, Minaxi Gupta
Added 28 Jan 2011
Updated 28 Jan 2011
Type Journal
Year 2010
Where INFOCOM
Authors Andrew J. Kalafut, Craig A. Shue, Minaxi Gupta
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