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Detection of Malwares, APTs and Their Propagation in an Enterprise Network Using the Combination of Scoring Model and Process-Network-File Approach
Srikanth P Vasist, Sailaja Thota
Reva Institute of Technology and Management, Rukmini Knowledge Park, Kattigenahalli, Yelahanka, Near Border Security Bustop, Bengaluru, Karnataka-560064, India.
With the advances in storage and internet technologies more and more data is moving into digital format which imposes a risk of information theft by hacking using some malicious software and advanced persistent threats(APT). In case of large enterprises, this malicious software are made to propagate within network to obtain as much data as possible and also to reach to the section of most valuable information like patents, finances etc. This paper covers the work done on this area and also proposes a novel approach based on the combination of module scoring and process-network-file relationship to detect such propagations.