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BDACCIP 2017 : The First International Workshop on Big Data Analytic for Cyber Crime Investigation and Prevention


When Dec 11, 2017 - Dec 14, 2017
Where Boston, USA
Submission Deadline Sep 10, 2017
Notification Due Oct 15, 2017
Final Version Due Nov 15, 2017
Categories    big data   digital forensics   cyber crime   information security

Call For Papers

The 1st International Workshop on Big Data Analytic for Cyber Crime Investigation and Prevention
Located with IEEE International Conference on Big Data 2017, Boston, USA, December 11-14, 2017

Workshop webpage:

Oct 15 (Extended from Sept 10), 2017: Due date for full workshop papers submission
Nov 1, 2017: Notification of paper acceptance to authors
Nov 15, 2017: Camera-ready for accepted papers
Dec 11-14, 2017: Workshop

The big data paradigm has become inevitable in every aspect of the digital forensics process. Increase in personal devices (such as computers, smart phones, tablets, sensors and storage mediums) results in an expanding volume of potential evidence found in them. The increase in data is one of the largest challenges facing law enforcements’ timely prosecutions; with the effect, that human analysts can no longer be the lone actor in the loop. There is a need to create innovative and advanced models and analysis methods to help human analysts within law enforcements in order to automatically aid with the discovery, correlation, examination, analysis and understanding of evidence in criminal cases. Advanced big data analytics are important for cybercrime investigation and require novel approaches for automation.

Note that the topics are not limited to this proposed list.

1. Algorithms
- Machine learning-aided analysis
- Graph-based detection
- Topic modeling
- Secure platforms
- Distributed storage and processing
- Secure collaborative platforms

2. Applications
- Network forensics readiness
- Cyber threats intelligence
- Malware analysis and detection
- Emails mining
- Events correlations
- Access logs analysis
- Mobile and Internet of Things forensics
- Fraud detection
- Database forensics

3. Data
- Novel datasets
- Digital forensics data simulation
- Anonymised case data
- Data storage standards
- New formats and taxonomies

Andrii Shalaginov, Norwegian University of Science and Technology
Katrin Franke, Norwegian University of Science and Technology
Jan William Johnsen, Norwegian University of Science and Technology

Ali Dehghantanha (University of Salford)
Asif Iqbal (KTH Royal Institute of Technology)
Bojan Kolosnjaji (Technical University of Munich)
Carl Leichter (Norwegian University of Science and Technology)
Dmitry Kangin (University of Exeter)
Emiliano Casalicchio (Blekinge Institute of Technology)
Ethan Rudd (University of Colorado Colorado Springs)
Hamid Ebadi (Chalmers University of Technology)
Hanno Langweg (Konstanz University of Applied Sciences)
Heri Ramampiaro (Norwegian University of Science and Technology)
Martin Boldt (Blekinge Institute of Technology)
Olaf M. Maennel (Tallinn University of Technology)
Pavel Gladyshev (Dublin School of Computer Science)
Pierre Lison (Norwegian Computing Centre)

Our workshop invites authors to submit: full-length papers (up to ten pages), short papers (up to six pages) or abstract papers (up to three pages) through the online submission system:
Papers have to follow the IEEE 2-column format and the Computer Society Proceedings Manuscript Formatting Guidelines. See formatting instructions here:

Selected papers are nominated for submission to “Special Issue on Cyber Threat Intelligence and Analytics”. Extended papers should have at least 60% of new material and will be sent through a review process to ensure the quality of contributions.

If you have any questions, do not hesitate to contact Andrii Shalaginov ( and Jan William Johnsen (

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