The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Code-Red: a case study on the spread and victims of an internet worm
Abstract
On July 19, 2001, more than 359,000 computers connected to the Internet were infected with the Code-Red (CRv2) worm in less than 14 hours. The cost of this epidemic, including subsequent strains of Code-Red, is estimated to be in excess of $2.6 billion. Despite the global damage caused by this attack, there have been few serious attempts to characterize the spread of the worm, partly due to the challenge of collecting global information about worms. Using a technique that enables global detection of worm spread, we collected and analyzed data over a period of 45 days beginning July 2nd, 2001 to determine the characteristics of the spread of Code-Red throughout the Internet.In this paper, we describe the methodology we use to trace the spread of Code-Red, and then describe the results of our trace analyses. We first detail the spread of the Code-Red and CodeRedII worms in terms of infection and deactivation rates. Even without being optimized for spread of infection, Code-Red infection rates peaked at over 2,000 hosts per minute. We then examine the properties of the infected host population, including geographic location, weekly and diurnal time effects, top-level domains, and ISPs. We demonstrate that the worm was an international event, infection activity exhibited time-of-day effects, and found that, although most attention focused on large corporations, the Code-Red worm primarily preyed upon home and small business users. We also qualified the effects of DHCP on measurements of infected hosts and determined that IP addresses are not an accurate measure of the spread of a worm on timescales longer than 24 hours. Finally, the experience of the Code-Red worm demonstrates that wide-spread vulnerabilities in Internet hosts can be exploited quickly and dramatically, and that techniques other than host patching are required to mitigate Internet worms.
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Cites
Bro: a system for detecting network intruders in real-time
Paxson, V. (1999) · Computer Networks · doi:10.1016/s1389-1286(99)00112-7 · Cited by 2,636
Inferring Internet Denial-of-Service Activity
Moore, D., Voelker, G. M., & Savage, S. (2001) · doi:10.21236/ada400003 · Cited by 863
Self-citationThe “worm” programs—early experience with a distributed computation
Shoch, J. F., & Hupp, J. A. (1999) · International Conference on Mobile Technology, Applications, and Systems · Cited by 284
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A Survey on Malware Detection Using Data Mining Techniques
Ye, Y., Li, T., Adjeroh, D., & Iyengar, S. S. (2018) · ACM Computing Surveys · doi:10.1145/3073559 · Cited by 623
Internet quarantine: requirements for containing self-propagating code
Moore, D., Shannon, C., Voelker, G. M., & Savage, S. (2004) · IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37428) · doi:10.1109/infcom.2003.1209212 · Cited by 494
Self-citationThe monitoring and early detection of Internet worms
Zou, C. C., Gong, W., Towsley, D., & Gao, L. (2005) · IEEE/ACM Transactions on Networking · doi:10.1109/tnet.2005.857113 · Cited by 272
Responses to catastrophic AGI risk: a survey
Sotala, K., & Yampolskiy, R. V. (2015) · Physica Scripta · doi:10.1088/0031-8949/90/1/018001 · Cited by 121
Metadata
- Authors
- Moore, D., Shannon, C., & claffy, K.
- Venue
- Proceedings of the second ACM SIGCOMM Workshop on Internet measurment - IMW '02
- Publisher
- ACM Press
- Published
- 2002
- Pages
- 273
- OpenAlex
- W2083477206
- Cited by
- 787
- References
- 3
- Type
- conference abstract
- Language
- en
- Open access
- closed
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