Comparison of Pattern Matching Techniques on Identification of Same Family Malware
作者: F. Mastjik C. Varol A. Varol
刊名: International Journal of Information Security Science, 2015, Vol.4 (3)
来源数据库: International Journal of Information Security Science
关键词: JaroLongest Common SubsequenceMalware AnalysisN-gramString Similarity.
原始语种摘要: Development in computing technology for the past decade has also given rise to threats against the users, particularly in form of malware. However, manual malware identification effort is being overwhelmed due to the sheer number of malware being created every day. Most of the malware are not exactly created from scratch; large numbers of them are byproducts of particular malware family. This means that same or slightly modified resolution can be applied to counter their threat. This paper analyzes string matching methods for identification of same family malware. We investigate and compare the effectiveness of three well-known pattern matching algorithms, namely Jaro, Lowest Common Subsequence (LCS), and N-Gram. After researching these three algorithms we found out thresholds of 0.79 for...
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  • particular 细致的
  • number 号码
  • three 
  • exactly 正确地
  • manual 手操啄
  • their 他们的
  • matching 匹配
  • given 已知的
  • being 
  • between 在中间