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  • 标题:Detection of Malware and Malicious Executables Using E-Birch Algorithm
  • 本地全文:下载
  • 作者:Dr. Ashit Kumar Dutta
  • 期刊名称:International Journal of Advanced Computer Science and Applications(IJACSA)
  • 印刷版ISSN:2158-107X
  • 电子版ISSN:2156-5570
  • 出版年度:2016
  • 卷号:7
  • 期号:1
  • DOI:10.14569/IJACSA.2016.070118
  • 出版社:Science and Information Society (SAI)
  • 摘要:Malware detection is one of the challenges to the modern computing world. Web mining is the subset of data mining used to provide solutions for complex problems. Web intelligence is the new hope for the field of computer science to bring solution for the malware detection. Web mining is the method of web intelligence to make web as an intelligent tool to combat malware and phishing websites. Generally, malware injected through websites into the user system and modifies the executable file and paralyze the whole activity of the system. Antivirus application utilizes the data mining technique to find the malware in the web. There is a need of heuristic approach to solve the malware problem. Dynamic analysis methods yield better result than the static methods. Data mining is the best option for the dynamic analysis of malware or malicious program. The purpose of the research is to apply the enhanced Birch algorithm to find the malware and modified executables of Windows and Android operating system.
  • 关键词:thesai; IJACSA; thesai.org; journal; IJACSA papers; Birch; Malware; Executables; Android and Windows
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