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Examining hacker participation length in cybercriminal internet-relay-chat communities

Benjamin, Victor; Zhang, Bin; Nunamaker, Jay F.; Chen, … - In: Journal of management information systems : JMIS 33 (2016) 2, pp. 482-510

Persistent link: https://www.econbiz.de/10011616120

Analyzing consumer-product graphs : empirical findings and applications in recommender systems

Huang, Zan; Zeng, Daniel D.; Chen, Hsinchun - In: Management science : journal of the Institute for … 53 (2007) 7, pp. 1146-1164

Persistent link: https://www.econbiz.de/10003519371

Linking exploits from the Dark Web to known vulnerabilities for proactive cyber threat intelligence : an attention-based deep structured semantic model

Samtani, Sagar; Chai, Yidong; Chen, Hsinchun - In: MIS quarterly 46 (2022) 2, pp. 911-946

Persistent link: https://www.econbiz.de/10013286533

Cross-lingual cybersecurity analytics in the international dark web with adversarial deep representation learning

Ebrahimi, Mohammadreza; Chai, Yidong; Samtani, Sagar; … - In: MIS quarterly 46 (2022) 2, pp. 1209-1226

Persistent link: https://www.econbiz.de/10013286594

Dark web : exploring and data mining the dark side of the web

Chen, Hsinchun - 2012

The University of Arizona Artificial Intelligence Lab (AI Lab) Dark Web project is a long-term scientific research program that aims to study and understand the international terrorism (Jihadist) phenomena via a computational, data-centric approach. We aim to collect "ALL" web content generated...

Persistent link: https://www.econbiz.de/10014275341