The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
A Framework for Dark Web Threat Intelligence Analysis
Abstract
This article describes how the Dark Web is usually considered the dark side of the World Wide Web. Cyber criminals usually use specialized tools, e.g. TOR, to access the hidden services inside the Dark Web anonymously. Law enforcement officers have difficulty tracing the identity of these cyber criminals using traditional network investigation techniques that are based on IP addresses. The information available in the Dark Web, which includes BitCoin wallets, email addresses, hyperlinks, images and user behavior profiles, can be used for further analysis, such as a correlation analysis. Present within this artcile is a threat intelligence analysis framework to help analyze the crimes and criminals in the Dark Web and the framework is realized by the implementation of the Dark Web Threat Intelligence Analysis (DWTIA) Platform.
Related Content
Siva Raja Sindiramutty, Noor Zaman Jhanjhi, Chong Eng Tan, Navid Ali Khan, Bhavin Shah, Amaranadha Reddy Manchuri.
© 2024.
58 pages.
|
Imdad Ali Shah, Raja Kumar Murugesan, Samina Rajper.
© 2024.
31 pages.
|
Rana Muhammad Amir Latif, Muhammad Farhan, Navid Ali Khan, R. Sujatha.
© 2024.
33 pages.
|
Imdad Ali Shah, Areesha Sial, Sarfraz Nawaz Brohi.
© 2024.
25 pages.
|
Kassim Kalinaki, Wasswa Shafik, Sarah Namuwaya, Sumaya Namuwaya.
© 2024.
24 pages.
|
Imdad Ali Shah, N. Z. Jhanjhi, Humaira Ashraf.
© 2024.
24 pages.
|
Rida Zehra.
© 2024.
18 pages.
|
|
|