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New malware detection system using metric-based method and hybrid genetic algorithm

Authors:

Jinhyun Kim,

Byung-Ro MoonAuthors Info & Claims

GECCO '12: Proceedings of the 14th annual conference companion on Genetic and evolutionary computation

Pages 1527 - 1528

https://doi.org/10.1145/2330784.2331029

Published: 07 July 2012 Publication History

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Abstract

Malicious software, or malware for short, is one of the most serious threats to computer systems. Malware disguise techniques are becoming more sophisticated, and signature-based malware detection systems can not cope with disguised malware timely. In this paper, we propose a new approach to detect disguised malware, focusing on the malware scripts. The proposed system consists of a metric-based detection algorithm and a hybrid genetic algorithm. The genetic algorithm tries further detection by extracting the main core of a program. Experimental tests on the proposed system show a remarkable performance improvement over existing anti-virus programs.

References

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J. Aycock. Computer Viruses and Malware. Springer, 2006.

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N. Idika and A. P. Mathur. A survey of malware detection techniques. Technical Report 286, Purdue University, 2007.

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T. Lancaster and F. Culwin. A Comparison of Source Code Plagiarism Detection Engines. Computer Science Education, 14:101--112, June 2004.

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Ramneantu EStrehl TGrobe JGijzen MHelfrich SMallick AFäßler V(2024)Faster Software Development Cycles using Graph-based Code Similarity Analysis2024 Stuttgart International Symposium on Automotive and Engine Technology10.1007/978-3-658-45010-6_12(191-201)Online publication date: 30-Jun-2024
https://doi.org/10.1007/978-3-658-45010-6_12
Zakeri-Nasrabadi MParsa SRamezani MRoy CEkhtiarzadeh M(2023)A systematic literature review on source code similarity measurement and clone detectionJournal of Systems and Software10.1016/j.jss.2023.111796204:COnline publication date: 1-Oct-2023
https://dl.acm.org/doi/10.1016/j.jss.2023.111796
Hussain AAhmad STanveer MIqbal A(2022)Computer Malware Classification, Factors, and Detection Techniques: A Systematic Literature Review (SLR)International Journal of Innovations in Science and Technology10.33411/IJIST/20220403204:3(899-918)Online publication date: 29-Aug-2022
https://doi.org/10.33411/IJIST/2022040320
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Index Terms

New malware detection system using metric-based method and hybrid genetic algorithm
1. Computing methodologies
  1. Artificial intelligence
    1. Search methodologies
      1. Heuristic function construction
2. Security and privacy
  1. Intrusion/anomaly detection and malware mitigation
  2. Systems security
    1. Operating systems security

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Published In

GECCO '12: Proceedings of the 14th annual conference companion on Genetic and evolutionary computation

July 2012

1586 pages

ISBN:9781450311786

DOI:10.1145/2330784

Editor:
Terence Soule
University of Idaho, USA
,
General Chair:
Jason H. Moore
Dartmouth College, USA

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Association for Computing Machinery

New York, NY, United States

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Published: 07 July 2012

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GECCO '12: Genetic and Evolutionary Computation Conference

July 7 - 11, 2012

Pennsylvania, Philadelphia, USA

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Overall Acceptance Rate 1,669 of 4,410 submissions, 38%

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Ramneantu EStrehl TGrobe JGijzen MHelfrich SMallick AFäßler V(2024)Faster Software Development Cycles using Graph-based Code Similarity Analysis2024 Stuttgart International Symposium on Automotive and Engine Technology10.1007/978-3-658-45010-6_12(191-201)Online publication date: 30-Jun-2024
https://doi.org/10.1007/978-3-658-45010-6_12
Zakeri-Nasrabadi MParsa SRamezani MRoy CEkhtiarzadeh M(2023)A systematic literature review on source code similarity measurement and clone detectionJournal of Systems and Software10.1016/j.jss.2023.111796204:COnline publication date: 1-Oct-2023
https://dl.acm.org/doi/10.1016/j.jss.2023.111796
Hussain AAhmad STanveer MIqbal A(2022)Computer Malware Classification, Factors, and Detection Techniques: A Systematic Literature Review (SLR)International Journal of Innovations in Science and Technology10.33411/IJIST/20220403204:3(899-918)Online publication date: 29-Aug-2022
https://doi.org/10.33411/IJIST/2022040320
Zincir-Heywood NKayacik G(2017)Evolutionary computation in network management and securityProceedings of the Genetic and Evolutionary Computation Conference Companion10.1145/3067695.3067726(1094-1112)Online publication date: 15-Jul-2017
https://dl.acm.org/doi/10.1145/3067695.3067726
Wael DShosha ASayed S(2017)Malicious VBScript detection algorithm based on data-mining techniques2017 Intl Conf on Advanced Control Circuits Systems (ACCS) Systems & 2017 Intl Conf on New Paradigms in Electronics & Information Technology (PEIT)10.1109/ACCS-PEIT.2017.8303028(112-116)Online publication date: Nov-2017
https://doi.org/10.1109/ACCS-PEIT.2017.8303028
Kim JChoi HYun HMoon BNeumann FSutton A(2016)Measuring Source Code Similarity by Finding Similar Subgraph with an Incremental Genetic AlgorithmProceedings of the Genetic and Evolutionary Computation Conference 201610.1145/2908812.2908870(925-932)Online publication date: 20-Jul-2016
https://dl.acm.org/doi/10.1145/2908812.2908870

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Disguised malware script detection system using hybrid genetic algorithm

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