@inproceedings{0662386cf7d64f23976648baa70dee4a,
title = "Dark-net ecosystem cyber-threat intelligence (CTI) Tool",
abstract = "The frequency and costs of cyber-attacks are increasing each year. By the end of 2019, the total cost of data breaches is expected to reach .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 paper will detail the creation and use of 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 = "Cyber-Threat Intelligence Tools, Dark-Net Ecosystem, Dark-Net Forums, Dark-Net Markets, Dark-Net Network Visualization",
author = "Nolan Arnold and Mohammadreza Ebrahimi and Ning Zhang and Ben Lazarine and Mark Patton and Hsinchun Chen and Sagar Samtani",
year = "2019",
month = jul,
doi = "10.1109/ISI.2019.8823501",
language = "English (US)",
series = "2019 IEEE International Conference on Intelligence and Security Informatics, ISI 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "92--97",
editor = "Xiaolong Zheng and Ahmed Abbasi and Michael Chau and Alan Wang and Lina Zhou",
booktitle = "2019 IEEE International Conference on Intelligence and Security Informatics, ISI 2019",
note = "17th IEEE International Conference on Intelligence and Security Informatics, ISI 2019 ; Conference date: 01-07-2019 Through 03-07-2019",
}