DocumentCode
1924692
Title
Polymorphic Worm Detection by Analyzing Maximum Length of Instruction Sequence in Network Packets
Author
Tatara, Kohei ; Hori, Yoshiaki ; Sakurai, Kouichi
Author_Institution
Grad. Sch. of Inf. Sci. & Electr. Eng., Kyushu Univ., Kyushu
fYear
2009
fDate
16-19 March 2009
Firstpage
972
Lastpage
977
Abstract
Intrusion detection system records worm´s signature, and detects the attack that lurks in traffic based on it. However, to detect the worm that corrects, and changes some oneself, a highly accurate detection technique for distinguishing the code that seems to be the worm included in traffic is requested. In this paper, we pay attention to the Toth et al.´s method to extract the executable code included in the data flows on the network and detect the attack by measuring the length of them. Then, we describe the problem of their method and how to solve it.
Keywords
computer networks; invasive software; telecommunication security; telecommunication traffic; data flow; intrusion detection system; maximum instruction sequence length; network packet; network traffic; polymorphic worm detection; worm signature; Availability; Cryptography; Electrostatic precipitators; Engines; Information analysis; Information science; Information security; Length measurement; Payloads; Proposals; Abstract Payload Execution; Instrusion Detection; Polymorphic Worm;
fLanguage
English
Publisher
ieee
Conference_Titel
Availability, Reliability and Security, 2009. ARES '09. International Conference on
Conference_Location
Fukuoka
Print_ISBN
978-1-4244-3572-2
Electronic_ISBN
978-0-7695-3564-7
Type
conf
DOI
10.1109/ARES.2009.103
Filename
5066596
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