COMING SOON! PQDT Open is getting a new home!

ProQuest Open Access Dissertations & Theses will remain freely available as part of a new and enhanced search experience at www.proquest.com.

Questions? Please refer to this FAQ.

Dissertation/Thesis Abstract

Calculating malware severity rating using threat tree analysis
by Malhotra, Asheer, M.S., Mississippi State University, 2015, 338; 1586986
Abstract (Summary)

Malware analysts and researchers around the world are looking for innovative means of malware detection and classification. However, one concept of malware analysis that lacks focus is the rating of malware based on their feature set and capabilities. Malware severity rating is needed in order to prioritize the utilization of resources towards the analysis of a malware by an organization. This thesis proposes the utilization of threat trees for calculating malware severity using a goal oriented approach. This approach is applied to a set of sophisticated malware to study its contribution towards articulation of a useful severity rating.

Indexing (document details)
Advisor: Dampier, David A.
Commitee: Allen, Edward B., McGrew, Robert W.
School: Mississippi State University
Department: Computer Science and Engineering
School Location: United States -- Mississippi
Source: MAI 54/04M(E), Masters Abstracts International
Source Type: DISSERTATION
Subjects: Computer science
Keywords: Malware, Reverse engineering, Severity rating, Threat tree
Publication Number: 1586986
ISBN: 978-1-321-69796-4
Copyright © 2021 ProQuest LLC. All rights reserved. Terms and Conditions Privacy Policy Cookie Policy
ProQuest