Sensor-Seeded Cryptographically Secure Random Number Generation
K.Sathya1, J.Premalatha2, Vani Rajasekar3

1K.Sathya, Dept of CT/UG, Kongu engineering college, Perundurai, Erode, India.
2 Dr.J.Premalatha, Dept of IT, Kongu engineering college, Perundurai, Erode, India.
3Vani Rajasekar, Dept of CSE, Kongu engineering college, Perundurai, Erode, India. 

Manuscript received on 5 August 2019. | Revised Manuscript received on 11 August 2019. | Manuscript published on 30 September 2019. | PP: 1854-1857 | Volume-8 Issue-3 September 2019 | Retrieval Number: C4652098319/19©BEIESP | DOI: 10.35940/ijrte.C4652.098319
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Abstract: Random numbers are essential to generate secret keys, initialization vector, one-time pads, sequence number for packets in network and many other applications. Though there are many Pseudo Random Number Generators available they are not suitable for highly secure applications that require high quality randomness. This paper proposes a cryptographically secure pseudorandom number generator with its entropy source from sensor housed on mobile devices. The sensor data are processed in 3-step approach to generate random sequence which in turn fed to Advanced Encryption Standard algorithm as random key to generate cryptographically secure random numbers.
Keywords: Sensor-based Random Number, Cryptographically Secure, AES, 3-Step Approach, Random Key
Scope of the Article:
Next Generation Internet & Web Architectures.