Forensic Malware Analysis: The Value of Fuzzy Hashing Algorithms in Identifying Similarities

Sarantinos, Nikolaos and Benzaid, Chafika and Arabiat, Omar and Al-Nemrat, Ameer (2017) ‘Forensic Malware Analysis: The Value of Fuzzy Hashing Algorithms in Identifying Similarities’, in 2016 IEEE Trustcom/BigDataSE/ISPA. 15th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (IEEE TrustCom-16). Tianjin University Tianjin, China, 23 - 26 Aug. 2016. IEEE, pp. 1782-1787. (10.1109/TrustCom.2016.0274).

Permanent Identifier

Use this permanent URL when citing or linking to this resource in ROAR.

Abstract

More Information

Divisions: Schools > Architecture Computing and Engineering, School of
DOI: 10.1109/TrustCom.2016.0274
Additional Information: © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Date Deposited: 27 Feb 2017 14:23
Official URL: http://doi.org/10.1109/TrustCom.2016.0274
Item Type: Book Section
Creators: Sarantinos, Nikolaos and Benzaid, Chafika and Arabiat, Omar and Al-Nemrat, Ameer
Status: Published
Publisher: IEEE
Last Modified: 07 Mar 2017 09:59
Depositing User: preeti PATEL
PEER REVIEWED

Download

Version: Accepted Version

Licence:

Statistics

View details