TY - GEN
T1 - Analyzing CDR/IPDR data to find people network from encrypted messaging services
AU - Joshi, Adya
AU - Oberoi, Madan
AU - Bose, Ranjan
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/11/15
Y1 - 2018/11/15
N2 - 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.
AB - 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.
KW - Call graph
KW - GPRS CDR data
KW - Mobile traffic analysis
KW - Profile
UR - http://www.scopus.com/inward/record.url?scp=85059759943&partnerID=8YFLogxK
U2 - 10.1109/CIC.2018.00013
DO - 10.1109/CIC.2018.00013
M3 - Conference contribution
AN - SCOPUS:85059759943
T3 - Proceedings - 4th IEEE International Conference on Collaboration and Internet Computing, CIC 2018
SP - 480
EP - 486
BT - Proceedings - 4th IEEE International Conference on Collaboration and Internet Computing, CIC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th IEEE International Conference on Collaboration and Internet Computing, CIC 2018
Y2 - 18 October 2018 through 20 October 2018
ER -