In conjunction with the 2025 IEEE International Conference on Big Data (IEEE BigData 2025)
December 8-11, 2025 – Macau SAR, China
Important Note: This is a hybrid event, so remote participation is also encouraged.
The Workshop on Cyber Threat Intelligence and Hunting (CyberHunt 2025) provides a dedicated forum for researchers, practitioners, and policymakers from academia, industry, and government to present and discuss research advances in Cyber Threat Intelligence (CTI) and its applications across the broader cybersecurity landscape, with a particular emphasis on AI-driven approaches.
CyberHunt 2025 will be held in conjunction with the IEEE International Conference on Big Data (IEEE Big Data 2025) in Macau, China, December 8–11, 2025.
November 2, 23:59 (USA Eastern Standard Time) 2025: Due date for full and short workshop paper submission
November 12, 2025: Notification of paper acceptance to authors
Nov 22, 2025: Camera-ready of accepted papers
Dec 8-11, 2025: Workshop & main conference
Paper submission site: https://wi-lab.com/cyberchair/2025/bigdata25/scripts/submit.php?subarea=S45&undisplay_detail=1&wh=/cyberchair/2025/bigdata25/scripts/ws_submit.php
Adversary and defense tradecraft and TTPs
Attribution (identifying, associating, or tracing malicious activity)
Big data and datasets for CTI
Collecting and processing data/information to produce CTI
Generating (revelation) and utilizing IOCs, including detection engineering
Intelligence (knowledge) representation, management, and dissemination (symbolic-AI/ontologies/templating approaches)
Intelligence-driven incident response
Intelligence-driven red teaming
Intelligence-driven threat hunting
Legal implications, accountability, privacy, and ethics for AI and CTI
The use of Large Language Models - and agentic approaches in CTI
Machine-readable-based CTI (including relevant standards)
Open-source tools (associated with the scientific method) for CTI and threat hunting
Political (cyber politics) and geopolitical aspects, and decision-making
Threat-informed security automation
Visualization techniques for CTI
Additional special topic of interest this year:
AI-based threat detection in Mobile Networks
Prof. Vasileios Mavroeidis, University of Oslo (UiO), Norway
Dr. Tamas Bisztray, University of Oslo, Norway
PhD Researcher Mateusz Zych, University of Oslo, Norway
Bertalan Borsos, ELTE
Robert Chetwyn, University of Oslo
Maria Christopoulou, Demokritos
William Corrias, Sapienza University of Rome
Denis Donadel, University of Verona
Richard A. Dubniczky, Eötvös Loránd Tudományegyetem
Charles Frick, JHUAPL
Gudmund Grov, Norwegian Defence Research Establishment (FFI)
Nils Gruschka, University of Oslo
Sokratis Katsikas, Norwegian University of Science and Technology (NTNU)
Alexios Lekidis, University of Thessaly
Ryan Marinelli, University of Oslo
Fabio Martinelli, Institute for Informatics and Telematics, National Research Council of Italy (CNR)
Vasileios Mavroeidis, University of Oslo
Boubakr Nour, Ericsson Security Research
Dimitra Papatsaroucha, Hellenic Mediterranean University
Konstantinos Rantos, International Hellenic University
Simone Soderi, IMT School for Advanced Studies Lucca
Norbert Tihanyi, Technology Innovation Institute
Rebeka Toth, University of Oslo
Magnus Wiik Eckhoff, University of Oslo
Christos Xenakis, University of Piraeus
Mateusz Zych, University of Oslo
The workshop invites full-length paper submissions that report ongoing or finished research. Papers should be up to 10 pages (references included) in the IEEE 2-column format. Short papers of early-stage work (up to 5 pages). All submissions will go through a double-blind review process. Please visit the above links for further information.
All accepted papers will be included in the IEEE Big Data 2025 Conference Proceedings and forwarded for inclusion in the IEEE Xplore Digital Library. At least one author of each accepted paper must register for the conference and present the paper in order to include the paper in the proceedings.
For any questions, please get in touch with the PC Chairs: Tamas Bisztray (tamasbi[*@*]ifi.uio.no)