Title :
Identifying cliques in dark web forums - An agglomerative clustering approach
Author :
Anwar, Tarique ; Abulaish, Muhammad
Author_Institution :
Center of Excellence in Inf. Assurance, King Saud Univ., Riyadh, Saudi Arabia
Abstract :
In this paper, we present a novel agglomerative clustering method to identify cliques in dark Web forums. Considering each post as an individual entity accompanying all the information about its thread, author, time-stamp, etc., we have defined a similarity function to identify similarity between each pair of posts as a blend of their contextual and temporal coherence. The similarity function is employed in the proposed clustering algorithm to group threads into different clusters that are finally presented as individual cliques. The identified cliques are characterized using the homogeneity of posts therein, which also establishes the homogeneity of their authors and threads as well.
Keywords :
Internet; pattern clustering; agglomerative clustering approach; contextual coherence; dark Web forums; identifying cliques; temporal coherence; Clustering algorithms; Clustering methods; Coherence; Equations; Mathematical model; Message systems; Security; Agglomerative clustering; Clique discovery; Cyber security; Dark Web forums;
Conference_Titel :
Intelligence and Security Informatics (ISI), 2012 IEEE International Conference on
Conference_Location :
Arlington, VA
Print_ISBN :
978-1-4673-2105-1
DOI :
10.1109/ISI.2012.6284289