Authors
Malik H Altakrori, Farkhund Iqbal, Benjamin CM Fung, Steven HH Ding, Abdallah Tubaishat
Publication date
2018/11/12
Journal
ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP)
Volume
18
Issue
1
Pages
1-51
Publisher
ACM
Description
Law enforcement faces problems in tracing the true identity of offenders in cybercrime investigations. Most offenders mask their true identity, impersonate people of high authority, or use identity deception and obfuscation tactics to avoid detection and traceability. To address the problem of anonymity, authorship analysis is used to identify individuals by their writing styles without knowing their actual identities. Most authorship studies are dedicated to English due to its widespread use over the Internet, but recent cyber-attacks such as the distribution of Stuxnet indicate that Internet crimes are not limited to a certain community, language, culture, ideology, or ethnicity. To effectively investigate cybercrime and to address the problem of anonymity in online communication, there is a pressing need to study authorship analysis of languages such as Arabic, Chinese, Turkish, and so on. Arabic, the focus of this study, is the …
Total citations
20192020202120222023561044
Scholar articles
MH Altakrori, F Iqbal, BCM Fung, SHH Ding… - ACM Transactions on Asian and Low-Resource …, 2018