1. Sensor-Seeded Cryptographically Secure Random Number Generation
- Author
-
Vani Rajasekar and Premalatha J
- Subjects
Management of Technology and Innovation ,General Engineering - 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.
- Published
- 2019