A detection model of malware behaviors on android

作者：Dong H^*; Li Q; Dong F; Peng Y; Xu G A

来源：Journal of Beijing University of Posts and Telecommunications, 2014, 37(3): 58-61 and 88.

DOI：10.13190/j.jbupt.2014.03.012

• Hidden-Markov model
• Malware
• Smartphone
• Support vector machine

A detection method was proposed to analyze the malicious behavior on Android, that combines hidden-Markov model (HMM) with support vector machine (SVM) for modeling as well as construct model for behaviors like networking and data accessing. This model takes advantage of both HMM and SVM and overcomes the shortcomings inside, and it is suitable for classification using dynamic behavior sequences. Experiments show that this method can capture the abnormal behaviors with high accuracy rate and lower false positive rate.

• 出版日期2014
• 单位北京大学