The thesis develops a data analysis framework to comprehensively analyze the evolutions of the threats with the consequences in the Dark Web by implementing the Systematic Literature Review method. An unsupervised model has been proposed to characterize and identify the Dark Web forum threat activities indicative of potential data breach.
History
Pagination
145 p.
Open access
Yes
Language
English
Degree type
Masters
Degree name
M.Sci.
Copyright notice
All rights reserved
Editor/Contributor(s)
Jemal Abawajy
Faculty
Faculty of Science Engineering and Built Environment