Provided by:
Academy Publisher
Topic:
Security
Format:
PDF
Smartphones have been widely used in recent years due to their capabilities of communication and multimedia processing, thus they also become attack targets of malware. In this paper, a new software behavior signature based malware detection framework named RobotDroid using SVM active learning algorithm is proposed, active learning algorithm is very efficient in solving a small amount of labeled samples and unlabeled samples posed a lot of mixed sample training set classify problems, as a result, RobotDroid can detect kinds of malicious software and there variants effectively in runtime and it can self extend malware characteristics database dynamically.
