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Recent attacks demonstrated that network intrusions have become a major threat to Internet. Systems are employed to detect internet anomaly play a vital role in Internet security. To solve this problem, a technique called frequent episode rules (FERs) base on data mining has been introduced into anomaly detection system (ADS). These episode rules are used to distinguish anomalous sequences of TCP,...
Malware has posted a great risk to the privacy of users and data. Unfortunately, current anomaly detection is both coarse-grained and ineffective to detect them, because some behaviors can only be triggered in specific circumstances, moreover, it is difficult to analyze and evaluate compromised data. In this paper, we address the two problems via taint-based analysis. First, we precisely characterize...
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