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Fuzzy Evaluation Scheme for KDF Based on Stream Ciphers

  • Hamijah Mohd. Rahman
  • Nureize Arbaiy
  • Chuah Chai Wen
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 700)

Abstract

Cryptography is a practice of technique to ensure security by using the cryptography keys. Key derivation function (KDF) is a standard algorithm to generate these cryptographic keys. Stream ciphers are one of the cryptographic primitives that are used to construct the key derivation function namely key derivation function based on stream ciphers. Though the key derivation function based on stream ciphers have a great role in security, it is necessary to have a framework which can evaluate the security level of the different types of key derivation function based on stream ciphers. Random oracle model (ROM) is the current procedure to proofs the security of KDF. However, the security evaluation of ROM did not evaluate the degree of secureness of KDF as it can only proof either the KDF is theoretically secure or insecure. Hence, this research applies fuzzy evaluation method to form a framework to evaluate the degree of secureness of the KDF for different types of key derivation function based on stream ciphers. Key sizes and complexity attacks are two main variables which are considered in the design of fuzzy rule. The proposed method introduces the information extraction to construct fuzzy membership function and rules. The result from this proposal is effective to approximate the security aspect in the computer system as well as network system.

Keywords

Key derivation function Stream cipher Fuzzy logic Membership function Fuzzy evaluation 

Notes

Acknowledgements

This research was supported by FRGS Vot 1558, RMC UTHM, and Gates IT Solution Sdn.Bhd.

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Hamijah Mohd. Rahman
    • 1
    • 2
  • Nureize Arbaiy
    • 1
  • Chuah Chai Wen
    • 2
  1. 1.Soft Computing and Data Mining (SMC), Faculty of Computer Science and Information TechnologyUniversiti Tun Hussein OnnParit Raja, Batu PahatMalaysia
  2. 2.Information Security Interest Group (ISIG), Faculty of Computer Science and Information TechnologyUniversiti Tun Hussein OnnParit Raja, Batu PahatMalaysia

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