Smart Mobile Identity Detection from Captured Images
Murugeswari Kandavel1, Ganesan Govindan2
1Murugeswari Kandavel, Associate Professor, Kalasalingam Academy of Research and Education College, Krishnankoil (Tamil Nadu), India.
2Ganesan Govindan, Associate Professor, Department of Computer Science and Engineering, K.L.N College of Information Technology, Sivagangai (Tamil Nadu), India.
Manuscript received on 05 December 2019 | Revised Manuscript received on 24 December 2019 | Manuscript Published on 31 December 2019 | PP: 1025-1030 | Volume-8 Issue-4S2 December 2019 | Retrieval Number: D11261284S219/2019©BEIESP | DOI: 10.35940/ijrte.D1126.1284S219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Most of the cybercrime are originated from abuse of mobile phones. If there is a possibility to identify the persons who abuse mobile phones, then the task of Cybercrime, Information forensic and Defense department is getting easier. Here the authors proposed a technique to identify the International Mobile Equipment Identity (IMEI) number, time stamp andgeographical location of the smartphone/mobile. Whenever the mobile camera is used the identity information such as IMEI number, timestamp and geolocation are embedded in the captured image automatically. For that, a mobile application was developed and deployed as a mobile service. By decoding the image, the embedded identity information of that mobile phone is revealed. Using this information it is easy to identify the person/s.
Keywords: Steganography, Cryptography, Cyber Security, Android, Smartphone.
Scope of the Article: Smart Spaces