DocumentCode
644297
Title
Automated signature extraction for high volume attacks
Author
Afek, Yehuda ; Bremler-Barr, Anat ; Landau Feibish, Shir
Author_Institution
Blavatnik School of Computer Sciences, Tel Aviv University, Israel
fYear
2013
fDate
21-22 Oct. 2013
Firstpage
147
Lastpage
156
Abstract
We present a basic tool for zero day attack signature extraction. Given two large sets of messages, P of messages captured in the network at peacetime (i.e., mostly legitimate traffic) and A captured during attack time (i.e., contains many attack messages), we present a tool for extracting a set S of strings, that are frequently found in A and not in P. Therefore, a packet containing one of the strings from S is likely to be an attack packet.
Keywords
Algorithm design and analysis; Computer crime; Educational institutions; Error analysis; Frequency estimation; Indexes; Radiation detectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Architectures for Networking and Communications Systems (ANCS), 2013 ACM/IEEE Symposium on
Conference_Location
San Jose, CA, USA
Print_ISBN
978-1-4799-1640-5
Type
conf
DOI
10.1109/ANCS.2013.6665197
Filename
6665197
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