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Multi-Chaos-Based Lightweight Image Encryption-Compression for Secure Occupancy Monitoring

Ghadi, Yazeed Yasin; Alsuhibany, Suliman A.; Ahmad, Jawad; Kumar, Harish; Boulila, Wadii; Alsaedi, Mohammed; Khan, Khyber; Bhatti, Shahzad A.


Yazeed Yasin Ghadi

Suliman A. Alsuhibany

Harish Kumar

Wadii Boulila

Mohammed Alsaedi

Khyber Khan

Shahzad A. Bhatti


With the advancement of camera and wireless technologies, surveillance camera-based occupancy has received ample attention from the research community. However, camera-based occupancy monitoring and wireless channels, especially Wi-Fi hotspot, pose serious privacy concerns and cybersecurity threats. Eavesdroppers can easily access confidential multimedia information and the privacy of individuals can be compromised. As a solution, novel encryption techniques for the multimedia data concealing have been proposed by the cryptographers. Due to the bandwidth limitations and computational complexity, traditional encryption methods are not applicable to multimedia data. In traditional encryption methods such as Advanced Encryption Standard (AES) and Data Encryption Standard (DES), once multimedia data are compressed during encryption, correct decryption is a challenging task. In order to utilize the available bandwidth in an efficient way, a novel secure video occupancy monitoring method in conjunction with encryption-compression has been developed and reported in this paper. The interesting properties of Chebyshev map, intertwining map, logistic map, and orthogonal matrix are exploited during block permutation, substitution, and diffusion processes, respectively. Real-time simulation and performance results of the proposed system show that the proposed scheme is highly sensitive to the initial seed parameters. In comparison to other traditional schemes, the proposed encryption system is secure, efficient, and robust for data encryption. Security parameters such as correlation coefficient, entropy, contrast, energy, and higher key space prove the robustness and efficiency of the proposed solution.

Journal Article Type Article
Acceptance Date Apr 7, 2022
Online Publication Date Nov 8, 2022
Publication Date Nov 8, 2022
Deposit Date Nov 14, 2022
Publicly Available Date Nov 14, 2022
Journal Journal of Healthcare Engineering
Print ISSN 2040-2295
Electronic ISSN 2040-2295
Publisher Hindawi
Peer Reviewed Peer Reviewed
Volume 2022
Article Number 7745132
Public URL


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