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  1. 1. Increased evasion resilience in modern PDF malware detectors : Using a more evasive training dataset

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Oscar Ekholm; [2022]
    Nyckelord :Malware Analysis; Malicious PDF; Malware Detection; Machine Learning; Evasion; Analys av skadlig programvara; Skadlig PDF; Detektion av skadlig programvara; Maskininlärning; Undanflykt;

    Sammanfattning : The large scale usage of the PDF coupled with its versatility has made the format an attractive target for carrying and deploying malware. Traditional antivirus software struggles against new malware and PDF's vast obfuscation options. In the search of better detection systems, machine learning based detectors have been developed. LÄS MER