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BDACCIP 2025 : The 7th International Workshop on Big Data Analytic for Cyber Crime Investigation and Prevention | |||||||||||||||
Link: https://smartseclab.com/bdaccip2024/ | |||||||||||||||
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Call For Papers | |||||||||||||||
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
Workshop webpage: https://smartseclab.com/bdaccip2024/ *** IMPORTANT DATES *** Oct 7, 2024: Due date for full workshop paper submissions Nov 4, 2024: Notification of paper acceptance to authors Nov 20, 2024: Latest due date for camera-ready of accepted papers Dec 15-18, 2024: Workshops and conference *** INTRODUCTION *** 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. *** PROPOSED TOPICS *** 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 *** PROGRAM CO-CHAIRS *** Andrii Shalaginov, Kristiania University College, Norway Asif Iqbal, KTH Royal Institute of Technology in Stockholm, Sweden Igor Kotsiuba, Durham University Business School, UK Mamoun Alazab, Charles Darwin University, Australia *** TECHNICAL PROGRAM COMMITEE *** 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) 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) *** 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. Online submission system: https://wi-lab.com/cyberchair/2024/bigdata24/scripts/submit.php?subarea=S18&undisplay_detail=1&wh=/cyberchair/2024/bigdata24/scripts/ws_submit.php Papers have to follow the IEEE 2-column format and the 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. *** CONTACTS*** If you have any questions, do not hesitate to contact Andrii Shalaginov (andrii.shalaginov@kristiania.no). Best regards, Andrii Shalaginov, on behalf of Guru Prasad Bhandari, Asif Iqbal, Igor Kotsiuba Kristiania University College, Oslo, Norway KTH Royal Institute of Technology in Stockholm, Sweden Durham University Business School, UK |
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