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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 12, ISSUE 5, MAY 2023

DARK-NET ECOSYSTEM CYBER THREAT INTELLIGENCE (CTI) TOOL

Abhishek , Prof. Shreehari H S

DOI: 10.17148/IJARCCE.2023.125111
AbstractThe frequency and costs of cyber-attacks are increasing each year. By the end of 2020, the total cost of data breaches is expected to reach $2.1 trillion through the ever-growing online presence of enterprises and their consumers. The tools to perform these attacks and the breached data can often be purchased within the Dark-net. Many of the threat actors within this realm use its various platforms to broker, discuss, and strategize these cyber-threat assets. To combat these attacks, researchers are developing Cyber-Threat Intelligence (CTI) tools to proactively monitor the ever-growing online hacker community. This topic will detail in creating and using a CTI tool that leverages a social network to identify cyber threats across major Dark-net data sources. Through this network, emerging threats can be quickly identified so proactive or reactive security measures can be implemented.  Keywords Dark-Net Ecosystem, Dark-Net Markets, Dark-Net Forums, Cyber-Threat Intelligence Tools, Dark-Net Network Visualization.

How to Cite:

[1] Abhishek , Prof. Shreehari H S, “DARK-NET ECOSYSTEM CYBER THREAT INTELLIGENCE (CTI) TOOL,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2023.125111