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

Abstract

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.

EAMSA 512: New 512 Bits Encryption Al-gorithm Based on Modified SALSA20

“…The first part of the chaotic system produces random 6dimensional numbers (Key1, Key2,... Key6) in each part of the chaotic system. Thus, the excessive change is done by making the 6-D key a chaotic structure with six positive values for Lyapunov, as shown in equations (2-7) from [23].…”

“…The behavior is chaotic and cannot be determined quantitatively. That is, chaos would occur when λ >0 , jth LE is equal [24][25]: 1), (b = 8/3 and σ = 10 for all subfigures,) , First 6-D keys from [19] is illustrated in equations (2)(3)(4)(5)(6)(7). :…”

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For data at rest, the ideal security measure is for the user to encrypt the information and store only the encrypted data in a secure storage like the cloud, with any unauthorized party not being able to access the encryption key [1][2][3][4]. Thus, users must employ a variety of cryptographic techniques and protocols, including but not limited to: Stream ciphers (Vigenère cipher, salsa20 cipher, etc.)

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A Dynamic Hybrid Cryptosystem Using Chaos and Diffie–Hellman Protocol: An Image Encryption Application

“…It is important to say that contrast measures the differences between neighboring points. Moreover, it is expected to have high values [43], which indicates high-quality encryption.…”

“…For the additive noise, an integer τ c (x, y) is chosen randomly for each point and color. The discrete value f dc (x, y) is calculated according to Equation (43); subsequently, f c (x, y) is changed by the discrete value of f dc (x, y).…”