Downloads: 5 | Views: 68 | Weekly Hits: ⮙3 | Monthly Hits: ⮙5
Informative Article | Engineering Science | India | Volume 9 Issue 3, March 2020 | Popularity: 5.5 / 10
Dark Web Monitoring: Extracting and Analyzing Threat Intelligence
Ravindar Reddy Gopireddy
Abstract: The rise of Dark Web enabled illicit economy and its increasing penetration across all spectrums presents a new set of challenges for cybersecurity. Abstract: This paper explores ways and means to monitor the Dark Web for collecting and analyzing threat intelligence. This research will look at patterns in communications and try to find trends that may serve as insights into our cybersecurity strategies by using a predominately humanistic approach with advanced data mining, machine learning, and natural language processing methods. This paper presents a general survey of the present techniques followed by their gaps and an architecture which extends key characteristics for better threat intelligence gathering from Dark Web.
Keywords: Dark Web, cybersecurity, threat intelligence, data mining, machine learning
Edition: Volume 9 Issue 3, March 2020
Pages: 1693 - 1696
Similar Articles
Downloads: 0
Informative Article, Engineering Science, India, Volume 10 Issue 12, December 2021
Pages: 1535 - 1539Safeguarding Financial Data in the Virtualized Era: A Risk - Based Approach to Security Architecture
Raja Venkata Sandeep Reddy Davu
Downloads: 0
Informative Article, Engineering Science, India, Volume 10 Issue 6, June 2021
Pages: 1809 - 1812A Comprehensive Examination of Techniques and Applications in Document Classification
Akshata Upadhye
Downloads: 0
Informative Article, Engineering Science, India, Volume 10 Issue 11, November 2021
Pages: 1578 - 1581Threat Detection and Incident Response in the Cloud
Venkata Soma
Downloads: 0
Informative Article, Engineering Science, India, Volume 13 Issue 5, May 2024
Pages: 1856 - 1860Implementation of Geographically Redundant Disaster Recovery Solutions
Pavan Nutalapati
Downloads: 0
Informative Article, Engineering Science, India, Volume 9 Issue 10, October 2020
Pages: 1820 - 1824AI - Enhanced Systems for Early Detection of Cybersecurity Threats
Aakash Aluwala