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- W1513644488 abstract "Attackers are increasingly relying on non-executable files to launch their attacks. Anti-virus solutions can detect a high percentage of malicious files but usually cannot reach and maintain a 100% detection rate. We propose a file-level IDS that relies on automated dynamic analysis system (sandbox) to detect malicious PDF files. We achieved a 99.2% detection rate, where the rates of both the false positives and the false negatives are less than 1%. Because it does not rely on anti-virus signatures, this solution can detect malicious documents that utilize malware not covered by the anti-virus database." @default.
- W1513644488 created "2016-06-24" @default.
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- W1513644488 date "2013-12-02" @default.
- W1513644488 modified "2023-09-24" @default.
- W1513644488 title "IDS for detecting malicious non-executable files using dynamic analysis" @default.
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