DocumentCode :
1532490
Title :
Abnormally Malicious Autonomous Systems and Their Internet Connectivity
Author :
Shue, Craig A. ; Kalafut, Andrew J. ; Gupta, Minaxi
Author_Institution :
Cyberspace Sci. & Inf. Intell. Res. Group, Oak Ridge Nat. Lab., Oak Ridge, TN, USA
Volume :
20
Issue :
1
fYear :
2012
Firstpage :
220
Lastpage :
230
Abstract :
While many attacks are distributed across botnets, investigators and network operators have recently identified malicious networks through high profile autonomous system (AS) depeerings and network shutdowns. In this paper, we explore whether some ASs indeed are safe havens for malicious activity. We look for ISPs and ASs that exhibit disproportionately high malicious behavior using 10 popular blacklists, plus local spam data, and extensive DNS resolutions based on the contents of the blacklists. We find that some ASs have over 80% of their routable IP address space blacklisted. Yet others account for large fractions of blacklisted IP addresses. Several ASs regularly peer with ASs associated with significant malicious activity. We also find that malicious ASs as a whole differ from benign ones in other properties not obviously related to their malicious activities, such as more frequent connectivity changes with their BGP peers. Overall, we conclude that examining malicious activity at AS granularity can unearth networks with lax security or those that harbor cybercrime.
Keywords :
IP networks; Internet; computer network security; fault tolerant computing; Botnets; Internet connectivity; abnormal malicious autonomous systems; blacklisted IP addresses; harbor cybercrime; high profile autonomous system; network lax security; Electronic mail; Feeds; IP networks; Internet; Malware; Measurement; Autonomous systems (ASs); security;
fLanguage :
English
Journal_Title :
Networking, IEEE/ACM Transactions on
Publisher :
ieee
ISSN :
1063-6692
Type :
jour
DOI :
10.1109/TNET.2011.2157699
Filename :
5783493
Link To Document :
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