The 4th International Workshop on Big Data Analytics for Cyber Crime Investigation and Prevention (BDCCIP)
Event submitted on Tuesday, May 5th 2020, approved by Charles Villanueva ✓
This event has been tagged as follows:
- Artificial Intelligence
- Cloud Security
- Conference 2020
- Offensive Security (Malware)
- SCADA/ ICS
- Web Application Security
- Women In Cybersecurity
(edit this info)
This security event looks fascinating because surely Coronavirus (and all the implied negative associations) has perhaps driven cybercrime to thrive on people’s fears. Big data and cybercrime are two technologies and subject matters that are entwined. Good luck to the organizers and let us know how it goes.
The following description was either submitted by the Conference Organizer on Tuesday, May 5th 2020, or created by us.
Following the positive feedback and great interest last year, the organizers 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.
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.
Topics of Interest
The topics of the workshop are as follows, but not limited to:
- Algorithm areas
– Machine Learning-aided analysis
– Graph-based detection
– Topic modeling
– Improvements in existing methods
– Decision Support Systems
– Novel datasets
– New data formats
– Digital Forensics data simulation
– Anonymized case data
– New data formats and taxonomies
– Secure collaborative platforms
– Distributed storage and processing
– Technologies for data streams
– Hardware/software architectures for large-scale data