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BDACCIP 2021 : The 5th International Workshop on Big Data Analytic for Cyber Crime Investigation and Prevention 2021


When Dec 15, 2021 - Dec 18, 2021
Where Orlando, Florida, USA
Submission Deadline Oct 20, 2021
Notification Due Nov 10, 2021
Final Version Due Nov 20, 2021
Categories    cybersecurity   cybercrime   digital forensics   cyber threats

Call For Papers

Call For Papers: The 5th International Workshop on Big Data Analytic for Cyber Crime Investigation and Prevention 2021

Following the positive feedback and great interest last year, we are delighted to announce the 5th International Workshop on Big Data Analytic for Cybercrime Investigation and Prevention, co-located with IEEE Big Data 2021 conference that takes place VIRTUALLY on December 15-18, 2021.

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 face-to-face IEEE Big Data 2021 conference into a digital format – IEEE Big Data 2021 will now be an online event.

Oct 20, 2021 (extended from Oct 1): Due date for full workshop papers submission
Nov 10, 2021 (extended from Nov 1): Notification of paper acceptance to authors
Nov 20, 2021 (extended from Nov 15): Camera-ready of accepted papers
Dec 15-18, 2021: Workshops

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.

Note that the topics are not limited to this proposed list.
1. Algorithm areas
- Machine Learning-aided analysis
- Graph-based detection
- Topic modelling
- Improvements of 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, Kristiania University College, 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 (Soongsil University)
Aleksandar Jevremovic (Singidunum University)
Andrei Costin (University of Jyväskylä)
Bing Zhou (Sam Houston State University)
Cristian Bucur (Ecole Polytechnique de Montréal)
Gebremariam Assres (Kristiania University College)
Inna Skarga-Bandurova (Pukhov Institute for Modelling in Energy Engineering)
Junaid Arshad (Birmingham City University)
Lester Allan Lasrado (Kristiania University College)
Marko Krstic (Regulatory Agency for Electronic Communications and Postal Service)
Mohamed Abomhara (Norwegian University of Science and Technology)
Naw Safrin Sattar (University of New Orleans)
Ogerta Eleza (University of Tirana)
Olaf M. Maennel (Tallinn University of Technology)
Panagiotis Bellonias (Bournemouth University)
Piotr A. Kowalski (AGH University of Science and Technology)
Raffaele Olivieri (Cyber Security Manager)
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)
Vasilis Katos (Bournemouth University)
Vinayakumar Ravi (Prince Mohammad Bin Fahd University)
Vinti Agarwal (Birla Institute of Technology & Science)

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.

Selected papers will be nominated for submission to the book: Trust, Security and Privacy for Big Data. 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 (

Best regards,
Andrii Shalaginov, on behalf of
Asif Iqbal, Igor Kotsiuba, Mamoun Alazab
Kristiania University College, Oslo, Norway
KTH Royal Institute of Technology in Stockholm, Sweden
Pukhov Institute for Modelling in Energy Engineering, Ukraine
Charles Darwin University, Australia

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