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BDACCIP 2020 : The 4th International Workshop on Big Data Analytic for Cyber Crime Investigation and Prevention 2020


When Dec 10, 2020 - Dec 13, 2020
Where Atlanta, Georgia, USA
Submission Deadline Oct 20, 2020
Notification Due Nov 10, 2020
Final Version Due Nov 20, 2020
Categories    digital forensics   machine learning   cybersecurity   cyber crime

Call For Papers

Following the positive feedback and great interest last year, we are delighted to announce the 4th International Workshop on Big Data Analytic for Cybercrime Investigation and Prevention, co-located with IEEE Big Data 2020 conference that takes place VIRTUALLY.

Workshop webpage:

*** Covid-19 Information ***
The safety and well-being of all conference participants is our priority. After evaluating the current COVID-19 situation, the decision has been made to transform the in-person component of IEEE Big Data 2020 into an all-digital conference experience – IEEE Big Data 2020 will now be an online event. Therefore, IEEE BigData 2020 will no longer take place in Atlanta, Georgia, US and will instead take place virtually. The conference dates remain the same – December 10-13, 2020. Proceedings will not be cancelled, and publications will continue as planned.

Oct 20, 2020: Due date for full workshop paper submissions
Nov 10, 2020: Notification of paper acceptance to authors
Nov 20, 2020: Latest due date for camera-ready of accepted papers
Dec 10-13, 2020: Workshops and conference

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 into daily law enforcement operations; for timely detection and prevention of the illegal activities in data-intensive environments. Thus, there is a need for advanced big data analytics to aid in cybercrime 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.

Note that the topics are not limited to this proposed list.
1. Algorithm areas
- Machine Learning-aided analysis
- Graph-based detection
- Topic modelling
- Improvements in existing methods
- Decision Support Systems
2. Data
- Novel datasets
- New data formats
- Digital Forensics data simulation
- Anonymised case data
- New data formats and taxonomies
3. Infrastructure
- Secure collaborative platforms
- Distributed storage and processing
- Technologies for data streams
- Hardware/software architectures for large-scale data
4. Application areas
- Cyber Threats Intelligence
- Network Forensics Readiness
- Malware Analysis & Detection
- Emails mining & Authorship Identification
- Social Network Mining
- Events correlations
- Access Logs analysis
- Mobile Forensics
- Fraud Detection
- Database Forensics
- IoT Forensics
- Blockchain technologies
- Industrial systems

Andrii Shalaginov, Norwegian University of Science and Technology, Norway
Asif Iqbal, KTH Royal Institute of Technology in Stockholm, Sweden
Igor Kotsiuba, Pukhov Institute for Modelling in Energy Engineering, Ukraine
Mamoun Alazab, Charles Darwin University, Australia

Ajit Kumar (VIT Bhopal)
Aleksandar Jevremovic (Singidunum University)
Bing Zhou (Sam Houston State University)
Cristian Bucur (Ecole Polytechnique de Montréal)
Holger Morgenstern (Albstadt-Sigmaringen University)
Junaid Arshad (Birmingham City University)
Inna Skarga-Bandurova (Pukhov Institute for Modelling in Energy Engineering)
Marko Krstic (Regulatory Agency for Electronic Communications and Postal Service)
Mohamed Abomhara (Norwegian University of Science and Technology)
Mohannad Alhanahnah (University of Wisconsin-Madison)
Naw Safrin Sattar (University of New Orleans)
Ogerta Eleza (University of Tirana)
Olaf M. Maennel (Tallinn University of Technology)
Raffaele Olivieri (Arma dei Carabinieri – Ra.C.I.S.)
Sanjay Kumar (University of Jyväskylä)
Shih-Chieh Su (Amazon)
Sule Yildirim Yayilgan (Norwegian University of Science and Technology)
Thippa Reddy G (Vellore Institute Of Technology)
Vasileios Mavroeidis (University of Oslo)
Vinayakumar Ravi (University of Cincinnati)
Vinti Agarwal (Birla Institute of Technology and Science, Pilani)

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. Online submission system:
Papers have to follow the IEEE 2-column format and the Computer Society Proceedings Manuscript Formatting Guidelines:

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.

Extended papers should have at least 60% of new material and will be sent through a review process to ensure the quality of contributions. Selected papers will be nominated for submission to:
1. Special Issue on “Artificial Intelligence for Cyber Defence and Smart Policing (AICDSP)”, journal Future Generation Computer Systems
2. Special Issue on “Forensics Data Analytics Enhancement via Artificial Intelligences and Big Data Analytics”, MDPI Future Internet journal

If you have any questions, do not hesitate to contact Andrii Shalaginov (

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