Program of the Workshop 2024
TBA
Introduction and Scope
Following the positive feedback and great interest over the last five years, we are delighted to announce the 7th International Workshop on Big Data Analytic for Cybercrime Investigation and Prevention, co-located with IEEE Big Data 2024 conference Washington, DC, USA on December 15-18, 2024
The big data paradigm has become an inevitable aspect of today's digital forensics investigations. Acquiring a forensic copy of seized data mediums already takes several hours due to the increasing storage size. In addition are several other time-consuming laboratory analysis steps required, such as evidence identification, corresponding data preprocessing, analysis, linkage, and final reporting. These steps have to be repeated for every physical device examined in the criminal case. Conventional digital forensics data preprocessing and analysis methods struggle when handling the contemporary variety, variability, volume and velocity of case data. Thus, proactive approaches have to be developed and integrated in daily law enforcement operations; for timely detection and prevention of the illegal activities in a data-intensive environments. Thus, there is a need for advanced big data analytics to aid in cyber crime investigations, which requires novel approaches for automated analysis. This workshop is organized to bring together recent development in big data analysis to aid in current challenges in cybercrime investigations.
Research Topics of Interest
The topics of the workshop are as following, but not limited to:
Algorithm areas
- Machine Learning-aided analysis
- Improvements of existing methods
- Digital Forensics data simulation
- New data formats and taxonomies
- Secure collaborative platforms
- Distributed storage and processing
Important dates
Sep 15, 2024: Due date for full workshop paper submissions
Oct 15, 2024: Notification of paper acceptance to authors
Nov 1, 2024: Latest due date for camera-ready of accepted papers
Dec 15-18, 2024: Workshops and conference
Program Chairs
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Andrii Shalaginov
SmartSecLab, Kristiania University Collegeandrii.shalaginov@kristiania.no
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Guru Prasad Bhandari
SmartSecLab, Kristiania University CollegeGuruPrasad.Bhandari@kristiania.no
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Asif Iqbal
Hitachi Energy, KTH Royal Institute of Technologyasif@asifiqbal.se
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Igor Kotsiuba
Durham University Business Schooligor.kotsiuba@durham.ac.uk
Technical Program Committee
Ajit Kumar (Soongsil University)
Aleksandar Jevremovic (Singidunum University)
Bing Zhou (Sam Houston State University)
Cristian Bucur (Ecole Polytechnique de Montréal)
Gebremariam Assres (Kristiania University College)
Junaid Arshad (Birmingham City University)
Inna Skarga-Bandurova (Pukhov Institute for Modelling in Energy Engineering)
Lester Allan Lasrado (Kristiania University College)
Marko Krstic (Regulatory Agency for Electronic Communications and Postal Service)
Olaf M. Maennel (Tallinn University of Technology)
Piotr A. Kowalski (AGH University of Science and Technology)
Raffaele Olivieri (Cyber Security Manager)
Shih-Chieh Su (Amazon)
Thippa Reddy G (Vellore Institute Of Technology)
Vasileios Mavroeidis (University of Oslo)
Vinayakumar Ravi (Prince Mohammad Bin Fahd University)
Vinti Agarwal (Birla Institute of Technology & Science)
Keynote Speakers
TBA
Support and Partners
School of Economics, Innovation, and Technology (SEIT) academic profile relates to information systems (IS) and computer science. This is covered by the fields of information science, information technology and computer science.
Smart Security Laboratory (SmartSecLab)
DigForAsp (Digital forensics: evidence analysis via intelligent systems and practices). COST Action CA17124 is funded by the European Cooperation in Science and Technology (COST). DigForAsp activities were launched on 10th September 2018 for 4 years.
Digital forensics is a part of the Criminalistics Sciences which deals with digital evidence recovery and exploitation in the solution of criminal cases through the application of scientific principles. There are several and increasingly sophisticated methods for collecting digital evidence. As a matter of fact, the evolution of technology continuously pushes such kind of methods. Rough evidence must however be used to elicit hypotheses concerning events, actions and facts (or sequences of them) with the goal to obtain evidence to present in court. Evidence analysis involves examining fragmented incomplete knowledge, and reconstructing and aggregating complex scenarios involving time, uncertainty, causality, and alternative possibilities. No established methodology exists today for digital evidence analysis. The Scientific Investigation experts usually proceed by means of their experience and intuition.
Paper Submission
The authors are invited to submit: full-length papers (up to 10 pages IEEE 2-column format), short papers (4-6 pages IEEE 2-column format) or abstract papers (up to 4 page IEEE 2-column format) through the online submission system. Page count includes references, figures and tables.
Papers should be formatted to IEEE Computer Society Proceedings Manuscript Formatting Guidelines:
https://www.ieee.org/conferences/publishing/templates.html
Publication
The authors of accepted papers must guarantee their presence at the conference for the papers to be published in the conference proceedings. At least one author of each accepted paper must register for the conference in order to include the paper in the proceedings.
Book
Selected papers will be nominated for submission to the book: