Esam A. A. Hagras

Image transmission in security-critical applications requires strong confidentiality, integrity, and key management. This paper proposes a Chaotic Complex Elliptic Curve-based Secure Image Encryption (CCEC-SIE) scheme operating in the Gaussian domain. By extending elliptic curve cryptography to Gaussian integers, the proposed framework significantly enlarges the cryptographic space without increasing the underlying prime size. Enhanced one-dimensional chaotic maps, including the Iterative Tent and Logistic Maps, are employed to construct a Complex Self-Invertible Key Matrix (CIKM), ensuring strong diffusion and high unpredictability. Pixel-level permutation is achieved via Arnold’s Cat Map, while asymmetric key exchange and image authentication are realized through Gaussian elliptic curve-based ElGamal encryption, and a complex-domain digital signature verified prior to decryption. Experimental results demonstrate robust security with near-ideal entropy, NPCR of 99.62%, UACI of 33.46%, near-zero-pixel correlation, and low computational overhead, confirming the suitability of the proposed scheme for efficient and secure real-time image transmission.

A chaotic image encryption technique is introduced relying on efficient non-linear substitution boxes (NL-S boxes) based on Deep convolutional neural networks chaotic key generator and new multi-parameter-multi-prime elliptic curves (Deep-CNN-CKG MP-MP-EC). Deep convolutional neural networks are used in this image encryption algorithm to generate an unexpected key stream. Image encryption system can benefit from the unexpected key stream sequence. In the presented method, a new cascaded 2D sine-cosine cross-chaotic map (cascaded 2D [Formula: see text] map), and this chaotic map is used to generate the multi-parameter and the multi-prime for the elliptic curve's generation. All the elliptic curves tack their parameters based on the pseudo-random sequences produced by the proposed cascaded 2D [Formula: see text] map. Furthermore, the points produced by the proposed cascaded 2D [Formula: see text] map and the generated elliptic curves are utilized to generate dynamic NL-S boxes and dynamic permutation tables. The updated NL-S boxes can be established by changing the shared elliptic curve key and the secure chaotic parameters. A reliable image encryption approach is designed based on the proposed Deep-CNN-CKG MP-MP-EC and the generated strong S-boxes. Finally, security analysis and simulation results confirm the reliability of the suggested encryption scheme, and it can be used as a robust encryption scheme.

This work is an attempt to address some issues related to practical hardware realization of power attack-resistant chaos-based encryption schemes. First, we introduce a new two-dimensional chaotic map based on a modified logistic-tent map. The proposed map has a very wide range of sustained chaotic and hyper-chaotic behavior over its large key parameters space. The presented map is practically realized using a digital field programmable gate array. Experimental validation of the map’s enhanced chaotic behavior is provided. Then the map is employed to efficiently generate chaotic clock signals appropriate for reliable image encryption applications. A proposed image encryption scheme which is driven by the generated chaotic clock signals is designed. The immunity against the powerful correlation power analysis attack is achieved in the proposed image encryption scheme even in the case when some secret key parameters of the encryption process are leaked. The present study paves the way to further explore how to build efficient chaos-based encryption schemes immune to other types of well-known effective attacks.

This paper presents an enhanced isomorphic authenticated encryption scheme for Radio Frequency Identification (RFID) based on Multi Digital Identity (multi message) encryption and authentication verification (ESS-MDI). The proposed system utilizes the isomorphic elliptic curve (IEC) property to create an elliptic curve hidden layer, which enhances the security during encryption. Additionally, it employs the digital signature based on elliptic curve to ensure message authenticity. The proposed system also incorporates time-based restrictions for process execution or forbidding, which further strengthens the security of the scheme. The effectiveness of the proposed system is demonstrated through experimental results and comparison with existing state-of-the-art systems, which validate its robustness, efficiency, and security. The proposed system offers a secure and efficient solution for RFID multi-message encryption and authentication verification in various applications, such as financial transactions, IOT systems, and e-commerce.

In this paper, a new peak average power and time reduction (PAPTR) based on the adaptive genetic algorithm (AGA) strategy is used in order to improve both the time reduction and PAPR value reduction for the SLM OFDM and the conventional genetic algorithm (GA) SLM-OFDM. The simulation results demonstrate that the recommended AGA technique reduces PAPR by about 3.87 dB in comparison to SLM-OFDM. Comparing the suggested AGA SLM-OFDM to the traditional GA SLM-OFDM using the same settings, a significant learning time reduction of roughly 95.56% is achieved. The PAPR of the proposed AGA SLM-OFDM is enhanced by around 3.87 dB in comparison to traditional OFDM. Also, the PAPR of the proposed AGA SLM-OFDM is roughly 0.12 dB worse than that of the conventional GA SLM-OFDM.

In this paper, a new cascaded multi modular chaotic logistic map (CMM-CLM) is proposed. The bifurcation diagram for the proposed CMM-CLM is very complex and it has strong chaos properties. The strong chaos leads to a very high Lyapunov exponent values. Based on the proposed CMM-CLM, a new robust physical layer security for the interleaved NOMA based on the multilayers concept (ML-I-NOMA) with the iterative de-coder has been introduced. The analysis of the proposed ML-I-NOMA cryptosystem is studied in the both encrypted and non-encrypted image transmission. The main contribu-tion of this paper is to prove that, the different layer effect has a slight performance change compared with the bandwidth consumption. Finally, the simulation results clarified that, the proposed MLI-NOMA achieves 50% and 75% bandwidth efficiency at 2 and 4 lay-ers with an excellent visual quality metric in the correct detection. In addition, the security analysis reveals that, the proposed ML-I-NOMA cryptosystem has large key space and good key sensitivity, and its entropy approaches to the idea value. Hence, the proposed ML-I-NOMA cryptosystem based on the CMM-CLM can strongly resist traditional cipher attacks.

In this paper, a Modular Fractional Chaotic Sine Map (MFC-SM) has been introduced to achieve high Lyapunov exponent values and completely chaotic behavior of the bifurcation diagram for high level security. The proposed MFC-SM is compared with the conventional non MFC-SM and it has an excellent chaotic analysis. In addition, the randomness test results indicate that the proposed MFC-SM shows better performance and satisfy all randomness tests. Due to the excellent chaotic properties and good randomization results for the proposed MFC-SM, it is used to be cooperated with the biometric digital identity to achieve dynamic chaotic biometric digital identity. Also, for real time image encryption, both Discrete Wavelet Transform (DWT)partial image encryption and Isomorphic Elliptic Curve (IEC)key exchange are used. In addition, the biometric digital identity is extracted from the user fingerprint image as fingerprint minutia data incorporated with the proposed MFC-SM and hence, a new Dynamic Fractional Chaotic Biometric Digital IdentityIEC (DFC-BID-IEC) has been introduced. Dynamic Fractional Chaotic Key Generator (DFC-KG) is used to control the key schedule for all encryption and decryption processing. The encryption process consists of the confusion and diffusion steps. In the confusion step, the 2D Arnold Cat Map (ACM) is used with secret parameters taken from DFC-KG. Also, the diffusion step is based on the dynamic chaotic self-invertible secret key matrix which can be generated from the proposed MFC-SM. The IEC key exchange secret parameters are generated based on Elliptic Curve Diffie?Hellman(ECDH) key exchange and the isomorphism parametre. Statistical analysis, differential analysis and key sensitivity tests are performed to estimate the security strengths of the proposed DFC-BID-IEC system. The experimental results show that the proposed algorithm is robust against common signal processing attacks and provides a high security level and high speed for image encryption application.