The 5th International Workshop on Big Data Analytic for Cyber Crime Investigation and Prevention 2021
Event submitted on Monday, May 31st 2021, approved by Charles Villanueva ✓
This event has been tagged as follows:
- Artificial Intelligence
- Cyber Physical
- Web Application Security
In the current digital forensics research, the big data paradigm has become unavoidable. It takes already many hours to get a forensic copy of confiscated data media since the storage area is growing. Furthermore, various more laboratory analysis procedures, such as the identification of evidence, preparation of associated data, analyzes, linkages, and final reports are necessary. For each physical device investigated in the criminal case, these processes have to be repeated. If this sounds like your niche – then get yourself involved!
Conference Event Summary
The following description was either submitted by the Conference Organizer on Monday, May 31st 2021, or created by us.
Following the positive feedback and great interest last year, we are delighted to announce the 5th International Workshop on Big Data Analytics for Cybercrime Investigation and Prevention, co-located with IEEE Big Data 2021 conference in Orlando, Florida, USA that takes place VIRTUALLY on December 15-18, 2021.
The safety and well-being of all conference participants are our priority. After evaluating the current COVID-19 situation, the decision has been made to transform the face-to-face IEEE Big Data 2021 conference into a digital format – IEEE Big Data 2021 will now be an online event.
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 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.