A Novel Simplified AES Algorithm for Lightweight Real-Time Applications: Testing and Discussion

Qasaimeh, Malik; Al‐Qassas, Raad S.; Fida, Mohammad; Shadi, Aljawarneh

doi:10.2174/2213275912666181214152207

Cited by 20 publications

(5 citation statements)

References 13 publications

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“…This paper investigates the same approach by proposing a lightweight cryptographic algorithm based on the Advanced Encryption Standard (AES), which we call Lightweight Advanced Encryption Standard (LAES). This paper extends the design and evaluation of [13], and makes the following main contributions.…”

Section: Contributionmentioning

confidence: 99%

“…x 12 = x. x 11 = x 3 + x 2 + x + 1 1 1 1 1 1 0 0 0 x 13 x 13 = x. x 12 = x 3 + x 2 + 1 1 1 0 1 0 1 0 0 x 14…”

Section: Primitive Polynomialmentioning

confidence: 99%

“…This paper is motivated by the advances of the information technology era, which have led to increased connections between different types of IoT devices with special security requirements based on multiple constraints. It is almost impossible to use common cryptographic algorithms to meet these different cryptographic constraints, considering application contexts and available resources [6,12,13]. Usually, IoT devices are characterized by limited power resources (e.g., the limited computational power of microprocessors and microcontrollers), limited memory size, compact hardware implementation, and limited battery life.…”

Section: Introductionmentioning

confidence: 99%

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Software Design and Experimental Evaluation of a Reduced AES for IoT Applications

2021

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IoT devices include RFID tags, microprocessors, sensors, readers, and actuators. Their main characteristics are their limited resources and computing capabilities, which pose critical challenges to the reliability and security of their applications. Encryption is necessary for security when using these limited-resource devices, but conventional cryptographic algorithms are too heavyweight and resource-demanding to run on IoT infrastructures. This paper presents a lightweight version of AES (called LAES), which provides competitive results in terms of randomness levels and processing time, operating on GF(24). Detailed mathematical operations and proofs are presented concerning LAES rounds design fundamentals. The proposed LAES algorithm is evaluated based on its randomness, performance, and power consumption; it is then compared to other cryptographic algorithm variants, namely Present, Clefia, and AES. The design of the randomness and performance analysis is based on six measures developed with the help of the NIST test statistical suite of cryptographic applications. The performance and power consumption of LAES on a low-power, 8-bit microcontroller unit were evaluated using an Arduino Uno board. LAES was found to have competitive randomness levels, processing times, and power consumption compared to Present, Clefia, and AES.

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Section: Contributionmentioning

confidence: 99%

“…x 12 = x. x 11 = x 3 + x 2 + x + 1 1 1 1 1 1 0 0 0 x 13 x 13 = x. x 12 = x 3 + x 2 + 1 1 1 0 1 0 1 0 0 x 14…”

Section: Primitive Polynomialmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Software Design and Experimental Evaluation of a Reduced AES for IoT Applications

2021

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“…On the other hand, the algorithm [4] does not condone any channel noise. To overcome computational complexity, numerous lightweight cryptographic algorithms have been proposed for constricted environments [48]- [54].…”

Section: Related Workmentioning

confidence: 99%

A novel symmetric image cryptosystem resistant to noise perturbation based on S8 elliptic curve S-boxes and chaotic maps

et al. 2020

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The recent decade has seen a tremendous escalation of multimedia and its applications. These modern applications demand diverse security requirements and innovative security platforms. In this manuscript, we proposed an algorithm for image encryption applications. The core structure of this algorithm relies on confusion and diffusion operations. The confusion is mainly done through the application of the elliptic curve and S8 symmetric group. The proposed work incorporates three distinct chaotic maps. A detailed investigation is presented to analyze the behavior of chaos for secure communication. The chaotic sequences are then accordingly applied to the proposed algorithm. The modular approach followed in the design framework and integration of chaotic maps into the system makes the algorithm viable for a variety of image encryption applications. The resiliency of the algorithm can further be enhanced by increasing the number of rounds and S-boxes deployed. The statistical findings and simulation results imply that the algorithm is resistant to various attacks. Moreover, the algorithm satisfies all major performance and quality metrics. The encryption scheme can also resist channel noise as well as noise-induced by a malicious user. The decryption is successfully done for noisy data with minor distortions. The overall results determine that the proposed algorithm contains good cryptographic properties and low computational complexity makes it viable to low profile applications.

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“…The authors claim that, as more easily implemented and secure ultra-lightweight versions, they can resist TMDTO (time–memory data trade-off) attacks while maintaining a smaller internal state. Unfortunately, this complex design approach, which is based on adding new components to existing drive models, goes against the traditional design philosophy of simplicity and ease of analysis, which, in turn, is prone to security risks [ 30 , 31 ].…”

Section: Introductionmentioning

confidence: 99%

Chaos-Based Lightweight Cryptographic Algorithm Design and FPGA Implementation

Guang

Wang

et al. 2022

Entropy

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With the massive application of IoT and sensor technologies, the study of lightweight ciphers has become an important research topic. In this paper, an effective lightweight LZUC (lightweight Zu Chongzhi) cipher based on chaotic system is proposed to improve the traditional ZUC algorithm. In this method, a further algorithm is designed for the process of integrating chaos into the lightweighting of ZUC. For the first time, this design introduces the logistic chaotic system into both the LFSR (linear feedback shift register) and nonlinear F-function of the cryptographic algorithm. The improved LZUC algorithm not only achieves a certain effect in lightweighting, but also has good statistical properties and security of the output sequence. To verify the performance of the LZUC cipher, we performed NIST statistical tests and information entropy analysis on its output key streams and discussed the typical attacks on the algorithm’s resistance to weak key analysis, guess–determination analysis, time–stored data trade-off analysis, and algebraic analysis. In addition, we completed the design of an image security system using the LZUC cipher. Histogram analysis and correlation analysis are used to analyze both plaintext and ciphertext data. At the end of the article, the plaintext and ciphertext images displayed by LCD can be further visualized to verify the encryption effectiveness of the LZUC cipher.

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A Novel Simplified AES Algorithm for Lightweight Real-Time Applications: Testing and Discussion

Cited by 20 publications

References 13 publications

Software Design and Experimental Evaluation of a Reduced AES for IoT Applications

Software Design and Experimental Evaluation of a Reduced AES for IoT Applications

A novel symmetric image cryptosystem resistant to noise perturbation based on S8 elliptic curve S-boxes and chaotic maps

Chaos-Based Lightweight Cryptographic Algorithm Design and FPGA Implementation

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