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In recent years, the need to develop advanced information technology systems in the area of mechanical engineering has been growing continuously to deliver better product quality at reduced cost. Embedding the electronics and software with machines transform them into smart machines sophistically called mechatronic. These software-oriented machines collect big data using sensors and other electronics and share among other smart machines, which further helps them in controlling the manufacturing processes, decision-making, and even in maintenance. Machine-to-machine sharing of data involves the risk of data stealing or modification, which may further disrupt the working of manufacturing process and leads to poor quality product. For data security, block ciphers like advanced encryption standard are needed. Advanced encryption standard is an encryption algorithm which is widely used to provide security to sensitive information by organizations. The main core of advanced encryption standard is its non-liner component that is S-Box, which is also called substitution table. The S-Box provides confusion capabilities in algorithm. The point of interest for cryptanalysis and hackers is S-Box, which is fixed in case of advanced encryption standard. Cryptanalysis and hackers exploit this weakness of advanced encryption standard. Many researchers tried to modify S-Box using different techniques. In this article, we tried to create dynamic S-Boxes which are key-dependent and, at the same time, they are using dynamic irreducible polynomial and affine constant.

Aiming at protection of high speed data, field programmable gate array (FPGA)-based advanced encryption standard (AES) design is proposed here. Deep investigation into the logical operations of AES with regard to FPGA architectures leads to two efficient pipelining structures for the AES hardware implementation. The two design options allow users to make a trade-off among speed, resource usage and power consumption. In addition, a new key expansion scheme is proposed to address the potential issues of existing key expansion scheme used in AES. The proposed key expansion scheme with additional non-linear operations increases the complexity of cracking keys by up to 2(N − 1) times for N-round AES. The proposed design is evaluated on various FPGA devices and is compared with several existing AES implementations. In terms of both throughput and throughput per slice, the proposed design can overcome most existing designs and achieves a throughput of 75.9 Gbps on a latest FPGA device. Two parallel implementations of the proposed design can meet the real-time encryption/decryption demand for 100 Gbps data rate. Furthermore, the proposed AES design is implemented on the Zynq xc7z020 FPGA platform, demonstrating its application to image encryption.

The majority of imaging techniques use symmetric and asymmetric cryptography algorithms to encrypt digital media. Most of the research works contributed in the literature focus primarily on the Advanced Encryption Standard (AES) algorithm for encryption and decryption. This paper propose an analysis for performing image encryption and decryption by hybridization of Elliptic Curve Cryptography (ECC) with Hill Cipher (HC), ECC with Advanced Encryption Standard (AES) and ElGamal with Double Playfair Cipher (DPC). This analysis is based on the following parameters: (i) Encryption and decryption time, (ii) entropy of encrypted image, (iii) loss in intensity of the decrypted image, (iv) Peak Signal to Noise Ratio (PSNR), (v) Number of Pixels Change Rate (NPCR), and (vi) Unified Average Changing Intensity (UACI). The hybrid process involves the speed and ease of implementation from symmetric algorithms, as well as improved security from asymmetric algorithms. ECC and ElGamal cryptosystems provide asymmetric key cryptography, while HC, AES, and DPC are symmetric key algorithms. ECC with AES are perfect for remote or private communications with smaller image sizes based on the amount of time needed for encryption and decryption. The metric measurement with test cases finds that ECC and HC have a good overall solution for image encryption.

The privacy of digital contents is one of the most important issue of the digitally advanced world. The transmission of online information is increasing immensely from last one decade. As the technology evolving with the passage of time, the secrecy of digital information is one of the unavoidable problem. The secrecy of information can be achieved through different encryption algorithms. In this article, our aim is to introduce an innovative technique for an image encryption to extend the advanced encryption standard (AES) to the Galois field of any characteristic. With the new improvement, all four steps in basic algorithm with binary characteristic is modified accordingly. We have extended number of possibilities in our proposed substitution boxes which imply, we added more confusion capabilities and generalized the existing concepts. Moreover, we have applied the anticipated scheme to digital image encryption. We have utilized standard statistical to verify the robustness of our suggested technique for encrypted image.

In today’s world, the need for higher levels of security in storing and transferring data has become a key concern. It is essential to safeguard data from any potential information leaks to prevent threats that may compromise data confidentiality. Therefore, to protect critical and confidential satellite imagery, this paper proposes a novel encryption method based on the combination of image bands scrambling with chaos and the advanced encryption standard (AES). The proposed approach aims to enhance the security of satellite imagery while maintaining efficiency and robustness against various attacks. It possesses several appealing technical characteristics, notably a high level of security, a large key space, and resilience to single event upsets (SEUs) and transmission errors. To evaluate the performance of the proposed encryption technique, extensive experiments have been conducted by considering factors such as security level, resistance to SEUs, and computational efficiency. Our results demonstrate that the proposed method achieves a high level of security and a large key space, ensuring the confidentiality and integrity of satellite imagery data. Furthermore, the method exhibits resilience against SEUs and transmission errors, and offers efficient processing, making it suitable for real-world applications.

At present, security is significant for individuals and organizations. All information need security to prevent theft, leakage, alteration. Security must be guaranteed by applying some or combining cryptography algorithms to the information. Encipherment is the method that changes plaintext to a secure form called cipherment. Encipherment includes diverse types, such as symmetric and asymmetric encipherment. This study proposes an improved version of the advanced encryption standard (AES) algorithm called optimized advanced encryption standard (OAES). The OAES algorithm utilizes sine map and random number to generate a new key to enhance the complexity of the generated key. Thereafter, multiplication operation was performed on the original text, thereby creating a random matrix (4×4) before the five stages of the coding cycles. A random substitution-box (S-Box) was utilized instead of a fixed S-Box. Finally, we utilized the eXclusive OR (XOR) operation with digit 255, also with the key that was generated last. This research compared the features of the AES and OAES algorithms, particularly the extent of complexity, key size, and number of rounds. The OAES algorithm can enhance complexity of encryption and decryption by using random values, random S-Box, and chaotic maps, thereby resulting in difficulty guessing the original text.

Both the act of keeping information secret and the research on how to achieve it are included in the broad category of cryptography. When people refer to “information security,” they are referring to the study and use of methods that make data transfers harder to intercept. When we talk about “information security,” this is what we have in mind. Using private keys to encrypt and decode messages is a part of this procedure. Because of its vital role in modern information theory, computer security, and engineering, cryptography is now considered to be a branch of both mathematics and computer science. Because of its mathematical properties, the Galois field may be used to encrypt and decode information, making it relevant to the subject of cryptography. The ability to encrypt and decode information is one such use. In this case, the data may be encoded as a Galois vector, and the scrambling process could include the application of mathematical operations that involve an inverse. While this method is unsafe when used on its own, it forms the foundation for secure symmetric algorithms like AES and DES when combined with other bit shuffling methods. A two-by-two encryption matrix is used to protect the two data streams, each of which contains 25 bits of binary information which is included in the proposed work. Each cell in the matrix represents an irreducible polynomial of degree 6. Fine-tuning the values of the bits that make up each of the two 25-bit binary data streams using the Discrete Cosine Transform (DCT) with the Advanced Encryption Standard (AES) Method yields two polynomials of degree 6. Optimization is carried out using the Black Widow Optimization technique is used to tune the key generation in the cryptographic processing. By doing so, we can produce two polynomials of the same degree, which was our original aim. Users may also use cryptography to look for signs of tampering, such as whether a hacker obtained unauthorized access to a patient’s medical records and made any changes to them. Cryptography also allows people to look for signs of tampering with data. Indeed, this is another use of cryptography. It also has the added value of allowing users to check for indications of data manipulation. Users may also positively identify faraway people and objects, which is especially useful for verifying a document’s authenticity since it lessens the possibility that it was fabricated. The proposed work achieves higher accuracy of 97.24%, higher throughput of 93.47%, and a minimum decryption time of 0.0047 s.

Cryptography protects the data stored in the network from unauthorized access. It is very essential to transfer data with high security. Biometrics is a unique part of human beings and it is a widely-known person authenticator. The exchange of all medical data has been done across the globe abundantly. Advanced Encryption Standard (AES) encryption algorithm is used for high security and it is most powerful cryptographic algorithm. This algorithm is widely preferred because of its long term security and has wide range of application and protocols. Protecting data over the network has become a significant issue due to enormous exchange of sensitive information takes place. Cryptography is used for secret information transmission in various fields like hospitals, research, medical applications etc., This article is a survey of familiar encryption techniques from which researches can acquire conception of suitable techniques to be used.

This paper proposes an image encryption scheme based on a discrete-time alternating quantum walk (AQW) and the advanced encryption standard (AES). We use quantum properties to improve the AES algorithm, which uses a keystream generator related to AQW parameters to generate a probability distribution matrix. Some singular values of the matrix are extracted as the key to the AES algorithm. The Rcon of the AES algorithm is replaced with the elements of the probability distribution matrix. Then, the ascending order of the size of the clone probability distribution matrix scrambles the mapping rules of the S-box and ShiftRow transformations in the AES algorithm. The algorithm uses a probability distribution matrix and plaintext XOR operation to complete the preprocessing and uses the modified AES algorithm to complete the encryption process. The technology is based on simulation verification, including pixel correlation, histograms, differential attacks, noise attacks, information entropy, key sensitivity, and space. The results demonstrate a remarkable encryption effect. Compared with other improved AES algorithms, this algorithm has the advantages of the original AES algorithm and improves the ability to resist correlation attacks.

Nowadays, a huge amount of digital data is frequently changed among different embedded devices over wireless communication technologies. Data security is considered an important parameter for avoiding information loss and preventing cyber-crimes. This research article details the low power high-speed hardware architectures for the efficient field programmable gate array (FPGA) implementation of the advanced encryption standard (AES) algorithm to provide data security. This work does not depend on the Look-Up Table (LUTs) for the implementation the SubBytes and InvSubBytes stages of transformations of the AES encryption and decryption; this new architecture uses combinational logical circuits for implementing SubBytes and InvSubBytes transformation. Due to the elimination of LUTs, unwanted delays are eliminated in this architecture and a subpipelining structure is introduced for improving the speed of the AES algorithm. Here, modified positive polarity reed muller (MPPRM) architecture is inserted to reduce the total hardware requirements, and comparisons are made with different implementations. With MPPRM architecture introduced in SubBytes stages, an efficient mixcolumn and invmixcolumn architecture that is suited to subpipelined round units is added. The performances of the proposed AES-MPPRM architecture is analyzed in terms of number of slice registers, flip flops, number of slice LUTs, number of logical elements, slices, bonded IOB, operating frequency and delay. There are five different AES architectures including LAES, AES-CTR, AES-CFA, AES-BSRD, and AES-EMCBE. The LUT of the AES-MPPRM architecture designed in the Spartan 6 is reduced up to 15.45% when compared to the AES-BSRD.