THE BULLETIN OF NATIONAL INSTITUTE of TECHNOLOGY, KISARAZU COLLEGE
Online ISSN : 2188-921X
Print ISSN : 2188-9201
ISSN-L : 0285-7901
Original Papers
Proposal and Evaluation of Malware Detection Method for a Compressed Packet to Improve IoT Security
Yoichi WAKABA
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RESEARCH REPORT / TECHNICAL REPORT OPEN ACCESS

2020 Volume 53 Pages 41-45

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Abstract

This paper proposes a new malware detection method for a LZ compressed packet in NIDS. In this method, NIDS first inspects a compressed packet roughly, and selects a packet that is possibility of malware, that is like screening test. Subsequently, NIDS decompresses only the selected packet and inspects it exactly. Evaluation results show that this method is not practical for original LZ compression. Hence, this paper also denotes LZ based compression method which is suitable the proposed method. Re-evaluation results show that the proposed method archives 240% speed up proportion to the existing method by sacrificing compression size. It is expected that the proposed method contributes to compression as a new option.

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© 2020 National Institute of Technology, Kisarazu College
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