360 Degree Profiling and Social Linkage Analysis of Persons of Interest

Abstract

Scourge of Terror Incidents is increasing because of advent of newer methodologies, weapons and techniques. National Security Agencies control these insurgent terror incidents by maintaining records of Persons of Interests for their tracking. As the person's data can come from multiple sources and in various formats, therefore analysing it with traditional methods becomes major challenge. Also viewing linkages between different entities becomes cumbersome. This paper presents a Machine learning and Computer Vision driven solution, which will help Security Agencies to combat terrorism. This solution will not only build 360 degree Person's profile but also show his linkages with various Incidents of Interest and Entities of Interest. The solution proposed is efficient in terms of performance and speed because it leverages the power of distributed computing and multithreading. So, we are building a Big Data & AI based distributed high performance system which will characterize the 4 V's of Big Data: Volume, Velocity, Variety and Veracity.