Know abnormal, find evil: frequent pattern mining for ransomware threat hunting and intelligence

Homayoun, S., Dehghantanha, A., Ahmadzadeh, M. et al. (2 more authors) (2017) Know abnormal, find evil: frequent pattern mining for ransomware threat hunting and intelligence. IEEE Transactions on Emerging Topics in Computing. ISSN 2168-6750

Abstract

Metadata

Authors/Creators:
  • Homayoun, S.
  • Dehghantanha, A.
  • Ahmadzadeh, M.
  • Hashemi, S.
  • Khayami, R.
Copyright, Publisher and Additional Information: © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, 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 components of this work in other works. Reproduced in accordance with the publisher's self-archiving policy.
Keywords: Malware; ransomware; crypto ransomware; ransomware detection; ransomware family detection
Dates:
  • Published (online): 26 September 2017
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 09 Mar 2018 11:06
Last Modified: 12 Mar 2018 13:26
Published Version: https://doi.org/10.1109/TETC.2017.2756908
Status: Published online
Publisher: IEEE
Refereed: Yes
Identification Number: https://doi.org/10.1109/TETC.2017.2756908

Share / Export

Statistics