Dark Web Monitoring: Extracting and Analyzing Threat Intelligence
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
How to Cite?: Ravindar Reddy Gopireddy, "Dark Web Monitoring: Extracting and Analyzing Threat Intelligence", Volume 9 Issue 3, March 2020, International Journal of Science and Research (IJSR), Pages: 1693-1696, https://www.ijsr.net/getabstract.php?paperid=SR24801072234, DOI: https://dx.doi.org/10.21275/SR24801072234