Essays about: "evasive malware"
Found 4 essays containing the words evasive malware.
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1. Impersonating a sandbox against evasive malware
University essay from Högskolan i Skövde/Institutionen för informationsteknologiAbstract : The steadily increasing amount of malware puts an even larger amount of work required to analyze all the gathered samples. The current methods of analyzing malware come with their downsides such as inefficiency as a manual analysis requires a human or dynamic analysis that could be considered unreliable. READ MORE
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2. Increased evasion resilience in modern PDF malware detectors : Using a more evasive training dataset
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : 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. READ MORE
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3. Classifying evasive malware
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Malware are become increasingly aware of their execution environment. In order to avoid detection by automated analysis solutions and to obstruct manual analysis, malware authors are coming up with new ways for their malware to decide whether it should express its malicious behavior or not. READ MORE
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4. Malicious Entity Categorization using Graph modelling
University essay from KTH/Skolan för informations- och kommunikationsteknik (ICT)Abstract : Today, malware authors not only write malicious software but also employ obfuscation, polymorphism, packing and endless such evasive techniques to escape detection by Anti-Virus Products (AVP). Besides the individual behavior of malware, the relations that exist among them play an important role for improving malware detection. READ MORE