Is early warning of an imminent worm epidemic possible?

Hyundo Park, Hyogon Kim, Heejo Lee

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)14-20
Number of pages7
JournalIEEE Network
Volume23
Issue number5
DOIs
Publication statusPublished - 2009

Bibliographical note

Funding Information:
This work was supported in part by the ITRC program of the Korea Ministry of Knowledge Economy (MKE), the IT R&D program of MKE/IITA(2009-S-026-01), the Defense Acquisition Program Administration and Agency for Defense Development, and the Korea Research Foundation Grant 2009-0080413.

Keywords

  • Data mining
  • Filtering
  • Grippers
  • IP networks
  • Internet
  • Layout
  • Monitoring

ASJC Scopus subject areas

  • Software
  • Information Systems
  • Hardware and Architecture
  • Computer Networks and Communications

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