Visible to the public "Random number generation based on sensor with decimation method"Conflict Detection Enabled

Title"Random number generation based on sensor with decimation method"
Publication TypeConference Paper
Year of Publication2015
AuthorsK. Sathya, J. Premalatha, V. Rajasekar
Conference Name2015 IEEE Workshop on Computational Intelligence: Theories, Applications and Future Directions (WCI)
Date PublishedDec
ISBN Number978-1-4673-8215-1
Accession Number16103305
Keywordsadversarial control, Correlation, cryptographic mechanisms, cryptography, data privacy, decimation method, Generators, Internet, minimizing correlation, NIST, privacy, pubcrawl, random number generation, random number independence, random number uniform distribution, random sequence, Random sequences, security, sensor data, sensor fusion, testing random number, wash-rinse-spin approach

Strength of security and privacy of any cryptographic mechanisms that use random numbers require that the random numbers generated have two important properties namely 1. Uniform distribution and 2. Independence. With the growth of Internet many devices are connected to Internet that host sensors. One idea proposed is to use sensor data as seed for Random Number Generator (RNG) since sensors measure the physical phenomena that exhibit randomness over time. The random numbers generated from sensor data can be used for cryptographic algorithms in Internet activities. These sensor data also pose weaknesses where sensors may be under adversarial control that may lead to generating expected random sequence which breaks the security and privacy. This paper proposes a wash-rinse-spin approach to process the raw sensor data that increases randomness in the seed value. The generated sequences from two sensors are combined by Decimation method to improve unpredictability. This makes the sensor data to be more secure in generating random numbers preventing attackers from knowing the random sequence through adversarial control.

Citation Key7495500