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  • Search: subject:"Malicious Code Detection"
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Subject
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Malicious Code Detection 2 Anti-Obfuscation 1 Data Cluster 1 Feature Extraction 1 Feature Selection 1 K-Means Algorithm 1 Machine Learning 1 Malicious Code Family 1 Malware Classification 1 N-Gram 1 Random Forest 1 Static Analysis 1 Structure Feature Extraction 1 Text Analysis 1
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Undetermined 2
Type of publication
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Article 2
Language
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English 2
Author
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Cai, Yongquan 1 Chen, Chia-Mei 1 Jiao, Di 1 Li, Tong 1 Ning, Zhenhu 1 Wang, Shi-Hao 1 Wang, Yuehan 1 Xue, Fei 1
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International Journal of Applied Metaheuristic Computing (IJAMC) 1 International Journal of Open Source Software and Processes (IJOSSP) 1
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Other ZBW resources 2
Showing 1 - 2 of 2
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Advancing Malware Classification With an Evolving Clustering Method
Chen, Chia-Mei; Wang, Shi-Hao - In: International Journal of Applied Metaheuristic … 9 (2018) 3, pp. 1-12
This article describes how honeypots and intrusion detection systems serve as major mechanisms for security administrators to collect a variety of sample viruses and malware for further analysis, classification, and system protection. However, increased variety and complexity of malware makes...
Persistent link: https://ebvufind01.dmz1.zbw.eu/10012042968
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Cover Image
A Novel Anti-Obfuscation Model for Detecting Malicious Code
Wang, Yuehan; Li, Tong; Cai, Yongquan; Ning, Zhenhu; … - In: International Journal of Open Source Software and … 8 (2017) 2, pp. 25-43
In this article, the authors present a new malicious code detection model. The detection model improves typical n …
Persistent link: https://ebvufind01.dmz1.zbw.eu/10012046977
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