[DFSci] Call For Papers: The 1st International Workshop on Big Data Analytic for Cyber Crime Investigation and Prevention

Andrii Shalaginov andrii.shalaginov at ntnu.no
Tue Oct 10 04:55:51 PDT 2017

Dear Colleague,

(Apologies for multiple postings)

We would like to invite you to submit your contributions to the 1st 
International Workshop on Big Data Analytic for Cyber Crime 
Investigation and Prevention. It is co-located with IEEE International 
Conference on Big Data 2017 that will take place in Boston, USA, 
December 11-14, 2017.

Workshop webpage: https://www.ntnu.edu/iik/digital_forensics/ieeebigdata2017

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

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

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)
Michael McGuire (Towson University)
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 
(andrii.shalaginov at ntnu.no) and Jan William Johnsen (jan.w.johnsen at ntnu.no).

Best regards,
Andrii Shalaginov, on behalf of
Katrin Franke and Jan William Johnsen
Norwegian University of Science and Technology, Gjøvik, Norway

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