2018 IEEE 4th International Conference on Collaboration and Internet Computing (CIC) (2018)
Philadelphia, PA, USA
Oct 18, 2018 to Oct 20, 2018
Criminals are increasingly using mobile based communication applications, like WhatsApp, that have end-to-end encryption to connect to each other. This makes traditional analysis of call graphs, or traffic analysis, virtually impossible and so is a hindrance for law enforcement personnel. Old methods of traffic analysis have been rendered useless and criminals, including arms dealers and terrorists, are able to engage in criminal activity undetected by police. At present, law enforcement must use extensive manual effort to parse data provided by cell companies to extract information. We have built a system that analyses cellular GPRS metadata and builds a profile and finds potential call connections explicitly which are implicit in the dataset. This paper describes our approach and system in detail and includes results of our evaluation using an anonymized dataset from Delhi Police. Our system permits call graph analysis to be done, and significantly reduces the time needed from the data analysis process.
cellular radio, cryptography, data analysis, data privacy, electronic messaging, mobile computing, packet radio networks, terrorism
A. Joshi, M. Oberoi and R. Bose, "Analyzing CDR/IPDR Data to Find People Network from Encrypted Messaging Services," 2018 IEEE 4th International Conference on Collaboration and Internet Computing (CIC), Philadelphia, PA, USA, 2018, pp. 480-486.