Biblio

Filters: Author is Manucom, Emraida Marie M.  [Clear All Filters]
2020-09-04
Manucom, Emraida Marie M., Gerardo, Bobby D., Medina, Ruji P..  2019.  Security Analysis of Improved One-Time Pad Cryptography Using TRNG Key Generator. 2019 IEEE 5th International Conference on Computer and Communications (ICCC). :1515—1521.
Cryptography is one of the important aspect of data and information security. The security strength of cryptographic algorithms rely on the secrecy and randomness of keys. In this study, bitwise operations, Fisher-Yates shuffling algorithm, and cipher text mapping are integrated in the proposed TRNG key generator for One-Time Pad cryptography. Frequency monobit, frequency within a block, and runs tests are performed to evaluate the key randomness. The proposed method is also evaluated in terms of avalanche effect and brute force attack. Tests results indicate that the proposed method generates more random keys and has a higher level of security compared with the usual OTP using PRNG and TRNGs that do not undergo a refining phase.
2020-03-23
Manucom, Emraida Marie M., Gerardo, Bobby D., Medina, Ruji P..  2019.  Analysis of Key Randomness in Improved One-Time Pad Cryptography. 2019 IEEE 13th International Conference on Anti-counterfeiting, Security, and Identification (ASID). :11–16.
In cryptography, one-time pad (OTP) is claimed to be the perfect secrecy algorithm in several works if all of its features are applied correctly. Its secrecy depends mostly on random keys, which must be truly random and unpredictable. Random number generators are used in key generation. In Psuedo Random Number Generator (PRNG), the possibility of producing numbers that are predictable and repeated exists. In this study, a proposed method using True Random Number Generator (TRNG) and Fisher-Yates shuffling algorithm are implemented to generate random keys for OTP. Frequency (monobit) test, frequency test within a block, and runs tests are performed and showed that the proposed method produces more random keys. Sufficient confusion and diffusion properties are obtained using Pearson correlation analysis.