The DOI matches its Crossref record.
Malware prevalence in the KaZaA file-sharing network
Abstract
In recent years, more than 200 viruses have been reported to use a peer-to-peer (P2P) file-sharing network as a propagation vector. Disguised as files that are frequently exchanged over P2P networks, these malicious programs infect the user’s host if downloaded and opened, leaving their copies in the user’s sharing folder for further propagation. Using a light-weight crawler built for the KaZaA file-sharing network, we study the prevalence of malware in this popular P2P network, the malware’s propagation behavior in the P2P network environment and the characteristics of infected hosts. We gathered information about more than 500,000 files returned by the KaZaA network in response to 24 common query strings. With 364 signatures of known malicious programs, we found that over 15 % of the crawled files were infected by 52 different viruses. Many of the malicious programs that we find active in the KaZaA P2P network open a backdoor through which an attacker can remotely control the compromised machine, send spam, or steal a user’s confidential information. The assertion that these hosts were used to send spam was supported by the fact that over 70 % of infected hosts were listed on DNS-based spam black-lists. Our measurement method is efficient: it enables us to investigate more than 30,000 files in an hour, identifying infected hosts without directly accessing their file system.
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Continual semantic attacks may involve reoccurring and direct communication with the target by exploiting messaging mechanisms provided by email, instant messaging, SNS, P2P networks, IRC forums and other Internet-based services.
“This may involve reoccurring and direct communication with the target by exploiting the messaging mechanisms provided by email, instant messaging, SNS, P2P networks, IRC forums and other Internet-based services [Drake et al. 2004; Leavitt 2005; Shin et al. 2006].”
From A Taxonomy of Attacks and a Survey of Defence Mechanisms for Semantic Social Engineering Attacks (2016) · cites this paper as Shin et al. 2006
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Research works printed but not linked: 14
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- Kim Zetter . KaZaA Delivers More Than Tunes . The Wired Magazine , January 2004 .]] Kim Zetter. KaZaA Delivers More Than Tunes. The Wired Magazine, January 2004.]]
- Shanyu Zhao , Daniel Stutzbach , and Reza Rejaie. Characterizing Files in the Modern Gnutella Network: A Measurement Study. In Proceedings of SPIE/ACM Multimedia Computing and Networking , January 2006 .]] Shanyu Zhao, Daniel Stutzbach, and Reza Rejaie. Characterizing Files in the Modern Gnutella Network: A Measurement Study. In Proceedings of SPIE/ACM Multimedia Computing and Networking, January 2006.]]
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A Taxonomy of Attacks and a Survey of Defence Mechanisms for Semantic Social Engineering Attacks
Heartfield, R., & Loukas, G. (2016) · ACM Computing Surveys · doi:10.1145/2835375 · Cited by 202
Metadata
- Authors
- Shin, S., Jung, J., & Balakrishnan, H.
- Affiliations
- Electronics and Telecommunications Research Institute (KR)
- Mazu Networks, Cambridge, MA
- MIT Computer Science and Artificial Intelligence Laboratory (US)
- Venue
- Proceedings of the 6th ACM SIGCOMM conference on Internet measurement
- Publisher
- ACM
- Published
- 2006-10-25
- Pages
- 333-338
- OpenAlex
- W2165393831
- Cited by
- 49
- References
- 0
- Citations by year
- 2023: 1 · 2019: 1 · 2018: 2 · 2015: 4 · 2014: 2 · 2013: 3 · 2012: 2
- FWCI
- 10.17
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- ACM Internet Measurement Conference (IMC) (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Software › Advanced Malware Detection Techniques
- Physical Sciences › Computer Science › Information Systems › Spam and Phishing Detection
- Physical Sciences › Computer Science › Computer Networks and Communications › Network Security and Intrusion Detection
- Keywords
- Kazaa, peer-to-peer file sharing, virus transmission, backdoors, spam
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