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ThinkMind // INNOV 2015, The Fourth International Conference on Communications, Computation, Networks and Technologies // View article innov_2015_1_20_70093


Testing Data Set for Analyzing Behaviors of Malicious Codes

Authors:
Youngsoo Kim
Jungtae Kim
Ikkyun Kim

Keywords: Malicious Code; Behavior-based Analysis; Testing Data Set; Host-based Malicious Behavior; Network-based Behavior

Abstract:
Cyber targeted attack has sophisticated attack techniques using malwares to exploit vulnerabilities in systems and external Command & Control (C&C) servers are continuously monitoring and extracting data off a specific target. Since this attacking process is working continuously and uses diverse malicious codes and attacking routes, it is considered to be difficult to detect in advance. The paper proposes an indirect analytical method based on the Testing Data Set (TDS) that includes various malware behaviors for detecting cyber attacks. Especially, the proposed TDS contains both network and host dataset by running recently collected malwares in a secure testbed environment for collecting specific behaviors of the malware infections and activations. Such a combination of the self-generated datasets provides a valuable information source for the malware behavior analysis.

Pages: 4 to 9

Copyright: Copyright (c) IARIA, 2015

Publication date: November 15, 2015

Published in: conference

ISSN: 2326-9286

ISBN: 978-1-61208-444-2

Location: Barcelona, Spain

Dates: from November 15, 2015 to November 20, 2015

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