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A Novel Method for Recovery from Crypto Ransomware Infections
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS).
Halmstad University.
Halmstad University.
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), CAISR - Center for Applied Intelligent Systems Research.ORCID iD: 0000-0001-9307-9421
2016 (English)In: 2016 2nd IEEE International Conference on Computer and Communications, ICCC 2016 - Proceedings, New York: IEEE, 2016, p. 1354-1358Conference paper, Published paper (Refereed)
Abstract [en]

Extortion using digital platforms is an increasing form of crime. A commonly seen problem is extortion in the form of an infection of a Crypto Ransomware that encrypts the files of the target and demands a ransom to recover the locked data. By analyzing the four most common Crypto Ransomwares, at writing, a clear vulnerability is identified; all infections rely on tools available on the target system to be able to prevent a simple recovery after the attack has been detected. By renaming the system tool that handles shadow copies it is possible to recover from infections from all four of the most common Crypto Ransomwares. The solution is packaged in a single, easy to use script. © 2016 IEEE.

Place, publisher, year, edition, pages
New York: IEEE, 2016. p. 1354-1358
Series
IEEE International Conference on Computer Communications and Networks, ISSN 1095-2055
Keywords [en]
component, crypto ransom ware, malware, recovery, extortion, network security
National Category
Embedded Systems
Identifiers
URN: urn:nbn:se:hh:diva-35642DOI: 10.1109/CompComm.2016.7924925ISI: 000411576802046Scopus ID: 2-s2.0-85020228603ISBN: 978-1-4673-9026-2 (print)OAI: oai:DiVA.org:hh-35642DiVA, id: diva2:1163488
Conference
2nd IEEE International Conference on Computer and Communications (ICCC), Oct 14-17, 2016, Chengdu, China
Available from: 2017-12-07 Created: 2017-12-07 Last updated: 2021-05-11Bibliographically approved

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Weckstén, MattiasJärpe, Eric

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Halmstad Embedded and Intelligent Systems Research (EIS)Halmstad UniversityCAISR - Center for Applied Intelligent Systems Research
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CiteExportLink to record
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Citation style
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