The topics of interest include, but are not limited to:
· Security for Big Data Storage
· Cloud Service models for Crime Detection and Prevention
· Big data Models for potential crime-related analysis
· Predictive Analytics for crime prevention
· Inter cloud operability for secure crime-related data handling
· Security, privacy, and trust models for IoT for crime detection and Prevention
· Multi-cloud/hybrid-cloud support for IoT applications
· Collaboration models for IoT applications for collaborative crime detection
· Social Computing and Crime Detection, Prevention, and Mitigation of Impact
· Collaborative Big Data Analytics for crime detection and prevention and challenges
· Fake news generation, propagation, and early detection in Social Media
· AI based systems for deep fake video detection on Online Social Networks
· AI based models for detecting fake profiles in Online social Media
· Vulnerabilities in virtualization and cloud platforms
· Network and cloud security
· Using Geo Technology and Big Data Analytics for checking infiltration
This track welcomes theoretical models, algorithms, practical results, description and analysis of experiments and demonstrations of working prototypes of cloud computing applications.