Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

On the social science of ransomware

Technology, security, and society

Bibliographic Data

ID11222277
AuthorsAlex S Wilner (0000-0003-2087-252X, Carleton University, corresponding author), Alex Wilner, Anna Jeffery (Carleton University), Jacqueline Lalor (Carleton University), Kathleen Matthews (0000-0002-4339-7867, Carleton University), Krystene Robinson (Carleton University), Alexandra Rosolska (Carleton University), Catherine Yorgoro (Carleton University)
Year2019
Volume38
Issue4
Pages347-370
Publication date2019-07-04
Open AccessNo
TypeARTICLE
VenueComparative Strategy (JOURNAL)
Journal identifiersISSN: 0149-5933 • E-ISSN: 1521-0448
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/01495933.2019.1633187
OpenAlexW2969472446
LanguageEN

Ransomware is a type of malware that either encrypts or steals digital data and demands a financial ransom from the victim in order to release or return them. While criminals have been linking theft and hostage-taking to ransoms for a long time, the frequency and severity of contemporary ransomware, the nature and motivation of the perpetrators who use these methods of attack, and the type of targets victimized by these attacks – from federal governments to city municipalities, and from private companies to private citizens – suggests that ransomware be afforded much greater scholarly attention by social scientists. Ransomware is not solely a computer science problem. It is a security problem that has international, political, intelligence, and diplomatic ramifications. This article provides a detailed description of ransomware tailored to the social sciences. Using seven ransomware case studies, the article breaks down the technology's technical barriers, making ransomware more accessible to public policy and national security debates and analysis

Business · Computer security · Internet privacy · Malware · Political science · Politics · Ransom · Ransomware · Advanced Malware Detection Techniques · Computer Science · Cybercrime and Law Enforcement Studies · Law · Spam and Phishing Detection

Highly citedNo

Tools

Open DOISci-Hub
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae