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Efficiency Comparison and Analysis of Pseudo-random Generators in Network Security

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Artificial Intelligence and Evolutionary Computations in Engineering Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1056))

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Abstract

Random data encryption algorithm (RDEA) is an advanced security model as compared to the Data Encryption Standard. It makes use of a random key generator to get the key from the cipher key database. The RDEA seems to be a great option for attaining greater security when we compare with 64-bit key of DES algorithm. Most of the random generators offered today are software-based random generators, which are not capable of generating actual random information. Because software random generators generate random information by using a fixed data set, their output can be predictable. This predictability weakens software encryption capability. Therefore, we would develop a modification to this algorithm by using pseudo-random key generation, which reduces the computation at both the encryption and decryption side without affecting the encryption capability. The cipher keys generated by means of pseudo-random methods will enhance the diffusion rate, which will attract higher security as well as throughput.

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Correspondence to Asis Kumar Tripathy .

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Tripathy, A.K., Swain, S., Mishra, A.K. (2020). Efficiency Comparison and Analysis of Pseudo-random Generators in Network Security. In: Dash, S., Lakshmi, C., Das, S., Panigrahi, B. (eds) Artificial Intelligence and Evolutionary Computations in Engineering Systems. Advances in Intelligent Systems and Computing, vol 1056. Springer, Singapore. https://doi.org/10.1007/978-981-15-0199-9_3

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