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Polymorphic Worm Detection by Analyzing Maximum Length of Instruction Sequence in Network Packets

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3 Author(s)
Tatara, K. ; Grad. Sch. of Inf. Sci. & Electr. Eng., Kyushu Univ., Kyushu ; Hori, Y. ; Sakurai, K.

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.

Published in:

Availability, Reliability and Security, 2009. ARES '09. International Conference on

Date of Conference:

16-19 March 2009