Is Early Warning of an Imminent Worm Epidemic Possible?
- Authors
- Park, Hyundo; Kim, Hyogon; Lee, Heejo
- Issue Date
- 9월-2009
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- Keywords
- Grippers; Internet; IP networks; Monitoring; Data mining; Layout; Filtering
- Citation
- IEEE NETWORK, v.23, no.5, pp.14 - 20
- Indexed
- SCIE
SCOPUS
- Journal Title
- IEEE NETWORK
- Volume
- 23
- Number
- 5
- Start Page
- 14
- End Page
- 20
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/119354
- DOI
- 10.1109/MNET.2009.5274917
- ISSN
- 0890-8044
- Abstract
- This article introduces a novel anomaly detection method that makes use of only matrix operations and is highly sensitive to randomness in traffic. The sensitivity can be leveraged to detect attacks that exude randomness in traffic characteristics, such as denial-of-service attacks and worms. In particular, we show that the method can be used to alert of the imminent onset of a worm epidemic in a statistically sound manner, irrespective of the worm's scanning strategies.
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Collections - Graduate School > Department of Computer Science and Engineering > 1. Journal Articles
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