SIEA: Secure Image Encryption Algorithm Based on Chaotic Systems Optimization Algorithms and PUFs

Abstract

One of the general problems in modern digital society is undoubtedly the information security topic. It is critical to ensure the security of information transferred, processed, and stored throughout digital channels. Among this information, digital images draw attention in terms of frequency of use in digital channels. In this study, a new image encryption algorithm is proposed to address the security problems of digital images. The aspect that differentiates the proposed algorithm from thousands of image encryption algorithms in the literature is that it is designed within the framework of the provable security design principle. The provable security design approach has ensured that the proposed algorithm is theoretically secure with mathematical proof techniques. In addition to addressing the proposed architecture security concerns, the hybrid random number generator used as the key generator constitutes another unique aspect. This generator, which was designed using chaotic systems, physical unclonable functions, and optimization algorithms, stands out as the innovative aspect of the study. The statistical randomness properties of the proposed random number generator were tested using the NIST SP 800-22 Statistical Test Suite. Successful results were obtained for 15 tests in the test package. In addition, the success of these outputs was tested on a new image encryption algorithm. The security of the proposed algorithm was tested from different angles using various experimental analyzes and a 12-step provable security analysis roadmap. Successful analysis results and performance measurements indicate that the proposed cryptographic components can be used in many information security applications and many future designs.

Highly Trustworthy In-Sensor Cryptography for Image Encryption and Authentication

“…For asymmetric cryptography, a pair of public and secret keys is required. , Our PUF key has a good performance in terms of randomness, uniformity, and uniqueness, promising to work as a highly trustworthy key in encryption due to its irreproducibility and true randomness. We can apply the Vernam algorithm (also known as a kind of stream cipher in symmetric cryptography) to encrypt and decrypt images. , The detailed procedures are described in Section III in the Supporting Information. The exclusive OR (XOR) operation (as demonstrated in Section II in the Supporting Information) between information and the secured key will leak no information.…”

Chaos Based Pseudo Random Bit Generator Design and Its Application in Secure Image Encryption

“…Chaotic time-series obtained from a non-equilibrium system are used to construct S-boxes and develop an image encryption application by Wang et al [12] in 2019. Furthermore, researchers proposed to use different chaotic dynamical systems as entropy source; circuit realization, control design and image encryption application of their proposed system such as extended Lü system [13], autonomous RLCC-Diodes-Opamp chaotic oscillator [14,15], modified Chua's circuit [16], a new chaotic jerk system [17] and chaotic one dimensional maps [18][19][20][21][22][23][24].…”

Symmetric Oscillator: Special Features, Realization, and Combination Synchronization

“…Adeyemi et al introduced the FPGA realization of chaos-encrypted transmission via the parameter-switching technique [16]. Muhammad and Ozkaynak combined chaos, optimization algorithms and physical unclonable functions to design the novel image encryption [17]. Many studies focused on random number generators [18][19][20].…”