A Heuristic Featured Based Quantification Framework for Efficient Malware Detection. Measuring the Malicious intent of a file using anomaly probabilistic scoring and evidence combinational theory with fuzzy hashing for malware detection in Portable Executable files

A Heuristic Featured Based Quantification Framework for Efficient Malware Detection. Measuring the Malicious intent of a file using anomaly probabilistic scoring and evidence combinational theory with fuzzy hashing for malware detection in Portable Executable files

Malware is still one of the most prominent vectors through which computer networks and systems are compromised. A compromised computer system or network provides data and or processing resources to the world of cybercrime. With cybercrime projected to cost the world $6 trillion by 2021, malware is e...

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Bibliographic Details
Main Author: Namanya, Anitta P.
Other Authors: Awan, Irfan U.
Language:en
Published: University of Bradford 2018
Subjects:
Malware detection
Evidence combinational theory
Hashes
File features
Anomalies
Probabilistic scoring
Automated static analyses
Malware
Portable executable (PE)
Online Access:http://hdl.handle.net/10454/15863

Internet

http://hdl.handle.net/10454/15863

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