TY - GEN
T1 - Dark-net ecosystem cyber-threat intelligence (CTI) Tool
AU - Arnold, Nolan
AU - Ebrahimi, Mohammadreza
AU - Zhang, Ning
AU - Lazarine, Ben
AU - Patton, Mark
AU - Chen, Hsinchun
AU - Samtani, Sagar
N1 - Funding Information:
This material is based upon work supported by the National Science Foundation under Grant No. NSF DUE-1303362 (SFS), NSF SES-1314631 (SaTC), and NSF CNS-1850362.
Publisher Copyright:
© 2019 IEEE.
PY - 2019/7
Y1 - 2019/7
N2 - 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.
AB - 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.
KW - Cyber-Threat Intelligence Tools
KW - Dark-Net Ecosystem
KW - Dark-Net Forums
KW - Dark-Net Markets
KW - Dark-Net Network Visualization
UR - http://www.scopus.com/inward/record.url?scp=85072963951&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85072963951&partnerID=8YFLogxK
U2 - 10.1109/ISI.2019.8823501
DO - 10.1109/ISI.2019.8823501
M3 - Conference contribution
AN - SCOPUS:85072963951
T3 - 2019 IEEE International Conference on Intelligence and Security Informatics, ISI 2019
SP - 92
EP - 97
BT - 2019 IEEE International Conference on Intelligence and Security Informatics, ISI 2019
A2 - Zheng, Xiaolong
A2 - Abbasi, Ahmed
A2 - Chau, Michael
A2 - Wang, Alan
A2 - Zhou, Lina
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 17th IEEE International Conference on Intelligence and Security Informatics, ISI 2019
Y2 - 1 July 2019 through 3 July 2019
ER -