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基于统计与代码特征分析的网页木马检测模型 被引量:15

Web Trojan Detection Model Based on Statistics and Code Characteristics Analysis
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摘要 采用传统的基于特征码比对的方式检测网页木马比较困难,为此提出了一种基于统计与代码特征分析的网页木马检测模型。采用内部特征与外部特征结合,并利用统计学的方法进行综合分析,最终判别待检测网页是否有网页木马。实验表明,该方法可以有效地检测网页木马,提高检测效率和精度,对未知及变形网页木马有一定的检测能力。 As for the difficulty in detecting Web Trojans on the ground of traditional feature matching, a Web Trojan detecting model is proposed based on statistics and analysis of code characteristics. The model comprehensively analyzes suspected webpages by statistics method after matching their external and internal features so as to judge whether they are Web Trojans. The results of the experiment show the model can detect Web Trojans effectively and accurately. Moreover, the unknown and deformed Web Trojans can be detected by the model to some extent.
出处 《信息与电子工程》 2009年第1期71-75,共5页 information and electronic engineering
关键词 网页木马 统计 代码特征 危险度 Web Trojan statistics code characteristics danger degree
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  • 1Hofmeyr S.,Forrest S..Immunity by design:An artificial immune system.In:Proceedings of the Genetic and Evolutionary Computation Conference,San Francisco,USA,2003,1~ 10
  • 2Rabek J.C.et al.Detection of injected,dynamically generated and obfuscated malicious code.In:Proceedings of the 2003 ACM Workshop on Rapid Malcode,Washington,DC,USA,2003,76~82
  • 3Bhattacharyya M.,Schultz M.G.,Eskin E.,Hershkop S.,Stolfo S.J..MET:An experimental system for malicious email tracking.In:Proceedings of the NSPW 2002,2002
  • 4Liljenstam M.et al.Simulating realistic network worm traffic for worm warning system design and testing.In:Proceedings of the 2003 ACM Workshop on Rapid Malcode,Washington,DC,USA,2003,24~33
  • 5Wagner D.,Dean D..Intrusion detection via static analysis.In:Proceedings of the IEEE Symposium on Security and Privacy,Oakland,CA,2001,156~168

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