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.
Original language | English (US) |
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Title of host publication | 2019 IEEE International Conference on Intelligence and Security Informatics, ISI 2019 |
Editors | Xiaolong Zheng, Ahmed Abbasi, Michael Chau, Alan Wang, Lina Zhou |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 92-97 |
Number of pages | 6 |
ISBN (Electronic) | 9781728125046 |
DOIs | |
State | Published - Jul 2019 |
Event | 17th IEEE International Conference on Intelligence and Security Informatics, ISI 2019 - Shenzhen, China Duration: Jul 1 2019 → Jul 3 2019 |
Publication series
Name | 2019 IEEE International Conference on Intelligence and Security Informatics, ISI 2019 |
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Conference
Conference | 17th IEEE International Conference on Intelligence and Security Informatics, ISI 2019 |
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Country | China |
City | Shenzhen |
Period | 7/1/19 → 7/3/19 |
Fingerprint
Keywords
- Cyber-Threat Intelligence Tools
- Dark-Net Ecosystem
- Dark-Net Forums
- Dark-Net Markets
- Dark-Net Network Visualization
ASJC Scopus subject areas
- Safety, Risk, Reliability and Quality
- Computer Vision and Pattern Recognition
- Information Systems and Management
- Information Systems
Cite this
Dark-net ecosystem cyber-threat intelligence (CTI) Tool. / Arnold, Nolan; Ebrahimi, Mohammadreza; Zhang, Ning; Lazarine, Ben; Patton, Mark; Chen, Hsinchun; Samtani, Sagar.
2019 IEEE International Conference on Intelligence and Security Informatics, ISI 2019. ed. / Xiaolong Zheng; Ahmed Abbasi; Michael Chau; Alan Wang; Lina Zhou. Institute of Electrical and Electronics Engineers Inc., 2019. p. 92-97 8823501 (2019 IEEE International Conference on Intelligence and Security Informatics, ISI 2019).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
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
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.
ER -