Abstract
According to the Varanasi edition of The Times of India, dated July 3, 2013, only 2% of the lost or stolen mobile phones in India are recovered [1]. This motivated the authors of this scholarly piece to work in this field and come up with Spying Mobrob – a solution that can improve the recovery success rate of stolen mobile phones. Spying Mobrob does not only help to recover stolen mobile phones but also to capture their thieves. In the present scenario, whenever a mobile phone is stolen, Spying Mobrob tries to track down the mobile number of its thief by dint of signaling data from mobile network operators. The innovation here is that Spying Mobrob does not trace the stolen mobile phone. Rather it tracks down the mobile phone of the thief and traces down the network of thieves involved in the process. For example, if X’s phone is stolen and Y is the thief, then Y’s phone will be tracked rather than X’s phone.
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References
Dikshit, R.: Only 2% of lost or stolen mobile phones recovered, July 2013. http://timesofindia.indiatimes.com/city/varanasi/Only-2-of-lost-or-stolen-mobile-phones-recovered/articleshow/20889356.cms
Sauer, M.: From GSM to LTE-Advanced: An Introduction to Mobile Networks and Mobile Broadband. Wiley, Hobken (2014)
Acknowledgments
Many thanks to Krittika Choudhary, Kushagra Desai, and Abhishek Ray from the KIIT University for contributing to Spying Mobrob! Many thanks to Bettina Baumgartner from the University of Vienna for proofreading this paper!
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Dey, S.K., Choudhary, P., Fahrnberger, G. (2017). Spying Mobrob. In: Krishnan, P., Radha Krishna, P., Parida, L. (eds) Distributed Computing and Internet Technology. ICDCIT 2017. Lecture Notes in Computer Science(), vol 10109. Springer, Cham. https://doi.org/10.1007/978-3-319-50472-8_18
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DOI: https://doi.org/10.1007/978-3-319-50472-8_18
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