Cyber weather forecasting: Forecasting unknown Internet worms using randomness analysis

Hyundo Park, Sung Oh David Jung, Heejo Lee, Hoh Peter In

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

Since early responses are crucial to reduce the damage from unknown Internet attacks, our first consideration while developing a defense mechanism can be on time efficiency and observing (and predicting) the change of network statuses, even at the sacrifice of accuracy. In the recent security field, it is an earnest desire that a new mechanism to predict unknown future Internet attacks needs to be developed. This motivates us to study forecasting toward future Internet atacks, which is referred to as CWF (Cyber Weather Forecasting). In this paper, in order to show that the principle of CWF can be realized in the real-world, we propose a forecasting mechanism called FORE (FOrecasting using REgression analysis) through the real-time analysis of the randomness in the network traffic. FORE responds against unknown worms 1.8 times faster than the early detection mechanism, named ADUR (Anomaly Detection Using Randomness check), that can detect the worm when only one percent of total number of vulnerable hosts are infected. Furthermore, FORE can give us timely information about the process of the change of the current network situation. Evaluation results demonstrate the prediction efficiency of the proposed mechanism, including the ability to predict worm behaviors starting from 0.03 percent infection. To our best knowledge, this is the first study to achieve the prediction of future Internet attacks.

Original languageEnglish
Title of host publicationInformation Security and Privacy Research - 27th IFIP TC 11 Information Security and Privacy Conference, SEC 2012, Proceedings
Pages376-387
Number of pages12
DOIs
Publication statusPublished - 2012
Event27th IFIP TC 11 Information Security and Privacy Conference, SEC 2012 - Heraklion, Crete, Greece
Duration: 2012 Jun 42012 Jun 6

Publication series

NameIFIP Advances in Information and Communication Technology
Volume376 AICT
ISSN (Print)1868-4238

Other

Other27th IFIP TC 11 Information Security and Privacy Conference, SEC 2012
CountryGreece
CityHeraklion, Crete
Period12/6/412/6/6

Keywords

  • Forecasting
  • Internet worm
  • Randomness check
  • Regression analysis
  • Reliability check

ASJC Scopus subject areas

  • Information Systems
  • Computer Networks and Communications
  • Information Systems and Management

Fingerprint Dive into the research topics of 'Cyber weather forecasting: Forecasting unknown Internet worms using randomness analysis'. Together they form a unique fingerprint.

  • Cite this

    Park, H., Jung, S. O. D., Lee, H., & In, H. P. (2012). Cyber weather forecasting: Forecasting unknown Internet worms using randomness analysis. In Information Security and Privacy Research - 27th IFIP TC 11 Information Security and Privacy Conference, SEC 2012, Proceedings (pp. 376-387). (IFIP Advances in Information and Communication Technology; Vol. 376 AICT). https://doi.org/10.1007/978-3-642-30436-1_31