• DocumentCode
    707237
  • Title

    Linear algorithm for Imbricate Cryptography using Pseudo Random Number Generator

  • Author

    Rastogi, Rohit ; Mittal, Shashank ; Shekhar, Shashank

  • Author_Institution
    CSE Dept., ABES Eng. Coll., Ghaziabad, India
  • fYear
    2015
  • fDate
    11-13 March 2015
  • Firstpage
    89
  • Lastpage
    94
  • Abstract
    In this paper we are going to establish the relationship between Randomness and Cryptography. We are going to generate an algorithm by combining the result of the Linear Congruential Pseudo Random Number Generator with Imbricate Cryptography. The following algorithm is Symmetric type Cryptography. It uses a layered approach. The first layer involves implanting a randomly generated number in the text and then transforming the text to form the cipher text at the very first layer. Second layer involves implanting the key to the cipher text obtained in the first layer thus making the security a two way approach. Therefore, the message can only be recovered by using the correct key and the correct Random number generated. The Random number generated is transmitted to the user with the key. Here the message and the key are inwardly plaited. It is not possible to find the key by permutation and combination since the user can choose key of variable length. Multiple Layers of encryption and decryption provide security. The advantage of the process is that it prevents cipher text only attack and known plain text attack. It is also easily computable and efficient.
  • Keywords
    cryptography; random number generation; cipher text only attack; imbricate cryptography; linear algorithm; linear congruential pseudo random number generator; plain text attack; Bismuth; Ciphers; Encryption; Generators; Receivers; Bitmap File; Encryption; Imbricate Cryptography; Linear Congruential Generator; Network security;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing for Sustainable Global Development (INDIACom), 2015 2nd International Conference on
  • Conference_Location
    New Delhi
  • Print_ISBN
    978-9-3805-4415-1
  • Type

    conf

  • Filename
    7100227