Enhanced Data Encryption Standard (DES) Algorithm based on Filtering and Striding Techniques

Data Encryption Standard (DES) is the most widely used symmetric-key algorithm for encryption algorithm. Different attacks like brute force and cryptanalysis attack can be used to break DES due to its small key size and simple and uniform distribution XOR operation. With the issues mentioned above, this paper proposes modification to enhance DES against these various attacks. The proposed enhancement used f-function by incorporating striding techniques instead of just performing the XOR operation between 56- bit sub key and the plaintext. The security against the known exhaustive attack and cryptanalysis attack was enhanced. The enhanced DES have been evaluated and compared against original DES using avalanche effect. Enhanced DES resulted to an average of avalanche effect of 55% due to one-bit vibration in plaintext.

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