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 in Atlanta, Georgia, USA that takes place VIRTUALLY on December 10-13, 2020.
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, 202
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.
Oct 5 (Sep 15), 2020: Due date for full workshop paper submissions
Oct 15, 2020: Notification of paper acceptance to authors
Nov 1, 2020: Latest due date for camera-ready of accepted papers
Dec 10-13 , 2020: Workshops and conference
Norwegian University of Science and Technologyandrii.firstname.lastname@example.org
KTH Royal Institute of Technology & CEO Athena Labsasif.email@example.com
Pukhov Institute for Modelling in Energy Engineeringigor.firstname.lastname@example.org
Charles Darwin Universitymamoun.email@example.com
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)
DigForAsp (Digital forensics: evidence analysis via intelligent systems and practices). COST Actio 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.
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 (see link to "formatting instructions" below) using Letter page format (8.5" x 11").
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 LINK.
2. Special Issue on Forensics Data Analytics Enhancement via Artificial Intelligences and Big Data Analytics, MDPI Future Internet journal LINK.