The 3rd International Workshop on Big Data Analytic for Cyber Crime Investigation and Prevention
December 9-12, 2019, Los Angeles, CA, USA
Scope & Topics
WithThe 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.
Topics of Interest :
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 (see link to "formatting instructions" below) using Letter page format (8.5" x 11").
LaTex Formatting Macros or DOC
Important Dates :
Submission Deadline | : | September 20, 2019 |
Authors Notification | : | October 15, 2019 |
Registration & Camera-Ready Paper Due | : | November 10, 2019 |
User Name : judy
Posted 01-07-2019 on 20:37:37 AEDT