Fast Automated Unpacking And Classification Of Malware
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Fast Automated Unpacking and Classification of Malware
"Malware is a pervasive problem in distributed computer and network systems. Identification of malware variants provides great benefit in early detection. Control flow has been proposed as a characteristic that can be identified across variants, resulting in classificaiton empoying flowgraph based signatures. Static analysis is widely used to construct the signatures but can be ineffective if malware undergoes a code packing transforrmation to hide its real content. This thesis proposes a novel system, names Malwise, for malware classification using a fast application level emulator to reverse the code packing transformation, and two flowgraph matching algorithms to perform classification: exact flowgraph matching and approximate flowgraph matching"--Abstract.
Detection of Intrusions and Malware, and Vulnerability Assessment
This book constitutes the refereed proceedings of the 13th International Conference on Detection of Intrusions and Malware, and Vulnerability Assessment, DIMVA 2016, held in San Sebastián, Spain, in July 2016. The 19 revised full papers and 2 extended abstracts presented were carefully reviewed and selected from 66 submissions. They present the state of the art in intrusion detection, malware analysis, and vulnerability assessment, dealing with novel ideas, techniques, and applications in important areas of computer security including vulnerability detection, attack prevention, web security, malware detection and classification, authentication, data leakage prevention, and countering evasive techniques such as obfuscation.
Detection of Intrusions and Malware, and Vulnerability Assessment
This book constitutes the refereed post-proceedings of the 9th International Conference on Detection of Intrusions and Malware, and Vulnerability Assessment, DIMVA 2012, held in Heraklion, Crete, Greece, in July 2012. The 10 revised full papers presented together with 4 short papers were carefully reviewed and selected from 44 submissions. The papers are organized in topical sections on malware, mobile security, secure design, and intrusion detection systems (IDS).