Paper Info
Title
IEDs in the dark web: Lexicon expansion and genre classification
Abstract
Improvised explosive device web pages represent a significant source of knowledge for security organizations. In this paper, we present significant improvements to our approach to the discovery and classification of IED related web pages in the Dark Web. We present a statistical feature ranking approach to the expansion of the keyword lexicon used to discover IED related web pages, which identified new relevant terms for inclusion. Additionally, we present an improved web page feature representation designed to better capture the structural and stylistic cues revealing of genres of communication, and a series of experiments comparing the classification performance of the new representation with our existing approach.
Year
DOI
Venue
2009
10.1109/ISI.2009.5137293
ISI
Keywords
Field
DocType
dark web,significant improvement,web page feature representation,security organization,improvised explosive device,statistical analysis,improved web page feature,existing approach,new relevant term,ied,ranking approach,ied related web page,significant source,statistical feature ranking,new representation,lexicon expansion,internet,improvised explosive device web,genre classification,classification,relevant term,classification performance,keyword lexicon,security of data,terrorism,materials,information security,artificial intelligence,information analysis,resource management,web pages,security,explosives,support vector machines
Data mining,Information retrieval,Web page,Semantic Web Stack,Computer security,Computer science,Support vector machine,Feature ranking,Web query classification,Lexicon,Deep Web,The Internet
Conference
ISBN
Citations 
PageRank 
978-1-4244-4173-0
0
0.34
References 
Authors
3
1
Name
Order
Citations
PageRank
Hsinchun Chen19569813.33