uu.seUppsala University Publications
Change search
ReferencesLink to record
Permanent link

Direct link
Evaluating Algorithms for Detection of Compromised Social Media User Accounts
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Business Studies.
Swedish Def Res Agcy FOI, Stockholm, Sweden..
Swedish Def Res Agcy FOI, Stockholm, Sweden..
2015 (English)In: Second European Network Intelligence Conference (ENIC 2015), 2015, 75-82 p.Conference paper (Refereed)Text
Abstract [en]

Hijacking of user accounts on Online Social Networks (OSNs) such as Twitter is increasingly used for purposes such as large-scale spam campaigns and cyber crime-related scams and phishing attacks, but also for purposes such as spreading terrorism propaganda and as part of information operations in political and military conflicts. We present a novel method for evaluation of the performance of algorithms for detection of compromised social media accounts. In short, we create two artificially "hijacked accounts" by randomly selecting two genuine user accounts and after a number of successive posts switch the remaining posts between them. This allows us to create large amounts of training and/or test data, something which is not easy to find for this problem. Further, the developed method is utilized to evaluate the performance of a modified version of the existing COMPA system.

Place, publisher, year, edition, pages
2015. 75-82 p.
National Category
Computer Science
URN: urn:nbn:se:uu:diva-299679DOI: 10.1109/ENIC.2015.19ISI: 000375081700011ISBN: 9781467375924OAI: oai:DiVA.org:uu-299679DiVA: diva2:949886
2nd European Network Intelligence Conference (ENIC), SEP 21-22, 2015, Karlskrona, SWEDEN
Available from: 2016-07-25 Created: 2016-07-25 Last updated: 2016-07-25Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full text
By organisation
Department of Business Studies
Computer Science

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 7 hits
ReferencesLink to record
Permanent link

Direct link