An efficient secure data compression technique based on chaos and adaptive Huffman coding

Usama, M. and Malluhi, Q.M. and Zakaria, N. and Razzak, I. and Iqbal, W. (2021) An efficient secure data compression technique based on chaos and adaptive Huffman coding. Peer-to-Peer Networking and Applications, 14 (5). pp. 2651-2664. ISSN 19366442

Full text not available from this repository.
Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....

Abstract

Data stored in physical storage or transferred over a communication channel includes substantial redundancy. Compression techniques cut down the data redundancy to reduce space and communication time. Nevertheless, compression techniques lack proper security measures, e.g., secret key control, leaving the data susceptible to attack. Data encryption is therefore needed to achieve data security in keeping the data unreadable and unaltered through a secret key. This work concentrates on the problems of data compression and encryption collectively without negatively affecting each other. Towards this end, an efficient, secure data compression technique is introduced, which provides cryptographic capabilities for use in combination with an adaptive Huffman coding, pseudorandom keystream generator, and S-Box to achieve confusion and diffusion properties of cryptography into the compression process and overcome the performance issues. Thus, compression is carried out according to a secret key such that the output will be both encrypted and compressed in a single step. The proposed work demonstrated a congruent fit for real-time implementation, providing robust encryption quality and acceptable compression capability. Experiment results are provided to show that the proposed technique is efficient and produces similar space-saving () to standard techniques. Security analysis discloses that the proposed technique is susceptible to the secret key and plaintext. Moreover, the ciphertexts produced by the proposed technique successfully passed all NIST tests, which confirm that the 99 confidence level on the randomness of the ciphertext. © 2020, The Author(s).

Item Type: Article
Additional Information: cited By 8
Uncontrolled Keywords: Chaos theory; Codes (symbols); Data compression; Digital storage; Real time control; Redundancy; Security of data, Adaptive Huffman coding; Compression process; Compression techniques; Diffusion properties; Encryption quality; Keystream generators; Performance issues; Real-time implementations, Cryptography
Depositing User: Mr Ahmad Suhairi UTP
Date Deposited: 10 Nov 2023 03:29
Last Modified: 10 Nov 2023 03:29
URI: https://khub.utp.edu.my/scholars/id/eprint/14555

Actions (login required)

View Item
View Item