NDLI: Detecting network attacks using behavioural models

Content Provider	IEEE Xplore Digital Library
Author	Schafer, J. Drozd, M.
Copyright Year	2011
Description	Author affiliation: Brno University of Technology, Božětechova 1/2, Brno 612 66, Czech Republic (Schafer, J.; Drozd, M.)
Abstract	In this paper we're dealing with the problem of detecting malware using behaviour model. For better malware description we have divided this model into two parts — malware spreading model and malware statistical behavioural model. Spreading models are typical epidemiological models like SI model, advanced SIR and SEIR models and empiric file spreading model. In statistical behavioural model we're describing characteristics of malware trojan communication and communication characteristics of a typical user, we're describing basic detection for both models (behavioural statistic and spreading), we're proposing some standard and specific countermeasures based on these models as same as possibility of detection of malware communication, attacks like DoS and Network scanning detection and detection of Malware propagation.
Starting Page	753
Ending Page	758
File Size	193359
Page Count	6
File Format	PDF
ISBN	9781457714269
e-ISBN	9781457714252
DOI	10.1109/IDAACS.2011.6072871
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-09-15
Publisher Place	Czech Republic
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Biological system modeling Computer crime Trojan horses Computational modeling Mathematical model Computers user behaviour network attacks denial of service malware malware behaviour spreading models statistic behavioural models trojan horse
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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