SNIC
SUPR
SNIC SUPR
Security Informatics
Dnr:

SNIC 2018/8-229

Type:

SNAC Small

Principal Investigator:

Amendra Shrestha

Affiliation:

Uppsala universitet

Start Date:

2018-07-11

End Date:

2019-08-01

Primary Classification:

10201: Computer Sciences

Webpage:

Allocation

Abstract

Monitoring and analysis of web forums is becoming important for intelligence analysts around the globe since terrorists and extremists are using forums for spreading propaganda and communicating with each other. Various tools for analyzing the content of forum postings and identifying aliases that need further inspection by analysts have been proposed throughout literature, but a problem related to this is that individuals can make use of several aliases. We propose a number of matching techniques for detecting forum users who make use of multiple aliases. By combining different techniques such as time profiling and stylometric analysis of messages the accuracy of recognizing users with multiple aliases increases, as shown in experiments conducted on the ICWSM dataset boards.ie.