Implementing a Symmetric Lightweight Cryptosystem in Highly Constrained IoT Devices by Using a Chaotic S-Box

Alshammari, Badr M.; Guesmi, Ramzi; Guesmi, Tawfik; Alsaif, Haitham; Alzamil, Ahmed

doi:10.3390/sym13010129

Cited by 60 publications

(40 citation statements)

References 59 publications

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“…Table 6 indicates that the proposed Sbox's SAC score is pretty close to 0.5 and better than many recent S-box methods listed in the Table . Moreover, the pair-wise disjoint Boolean functions comprising the S-box should have as high nonlinearity as possible. We can see that the BIC-nonlinearity score of our S-box is 104.2 which is higher than many S-boxes suggested in [8,23,24,45,46,[48][49][50][51][63][64][65] indicating the decent performance of proposed S-box. Hence, the proposed method has the ability to satisfy the SAC and BIC criterions well.…”

Section: Comparative Analysismentioning

confidence: 69%

“…The comparison of abilities of S-boxes to mitigate the differential and linear cryptanalysis is accomplished in Table 8 along with existence of fixed points. Comparison analysis indicates that our S-box has better ability to resist differential cryptanalysis than S-boxes available in [8,45,48,49,54,60] and it is comparable with others. The LAP score of 0.125 is also slightly better than many Sboxes such as [8,23,45,48,50,[52][53][54][55][56]60,64,65].…”

Section: Comparative Analysismentioning

confidence: 70%

“…Comparison analysis indicates that our S-box has better ability to resist differential cryptanalysis than S-boxes available in [8,45,48,49,54,60] and it is comparable with others. The LAP score of 0.125 is also slightly better than many Sboxes such as [8,23,45,48,50,[52][53][54][55][56]60,64,65]. But, S-boxes presented in [35,47,58,59,61,62] show better LAP than our S-boxes.…”

Section: Comparative Analysismentioning

confidence: 70%

“…The proposed S-boxes doesn't have any fixed points. But, a number of S-box found to have 1 or more fixed points as in [8,23,45,47,48,51,[56][57][58][59][60][61][62][63][64][65].…”

Section: Comparative Analysismentioning

confidence: 99%

See 3 more Smart Citations

Efficient Dynamic S-Box Generation Using Linear Trigonometric Transformation for Security Applications

et al. 2021

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Protection of data transmitted over the network from illegal access is one of the major challenges being posed by exponential growth of data in online digital communication. Modern cryptosystems assist in data sanctuary by utilizing substitution-boxes (S-boxes). This paper presents a modest and novel technique to erect dynamic and key dependent S-boxes with the help of a novel linear trigonometric transformation. A new optimization plan is also suggested to improvise the nonlinearity characteristic of the preliminary S-box generated through trigonometric transformation. The proposed technique has the competence to create significant quantity of cryptographic strong S-boxes with the help of projected scheme. A specimen S-box is procreated, and standard performance criteria is applied to appraise the cryptographic strength of the resultant S-box and other known S-boxes available in the literature. Comparative performance analyses validate the noteworthy contribution of the proposed scheme for the generation of dynamic and secure S-boxes. An image privacy preserving scheme based on the proposed Sbox is also suggested to validate the fact that it holds strong candidature for modern cryptosystems to protect multimedia data.

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Section: Comparative Analysismentioning

confidence: 69%

Section: Comparative Analysismentioning

confidence: 70%

Section: Comparative Analysismentioning

confidence: 70%

“…The proposed S-boxes doesn't have any fixed points. But, a number of S-box found to have 1 or more fixed points as in [8,23,45,47,48,51,[56][57][58][59][60][61][62][63][64][65].…”

Section: Comparative Analysismentioning

confidence: 99%

See 2 more Smart Citations

Efficient Dynamic S-Box Generation Using Linear Trigonometric Transformation for Security Applications

et al. 2021

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“…Researchers [22][23][24][25][26][27] have employed DNA computing for the design of sturdy S-Boxes to assist the encryption process and resultant S-boxes have proved attack-resilient. Several investigators have exploited other knowledge domains to produce substitution boxes like elliptic curve [28,29], graph theory [30,31], cellular automata [32], wavelet domain [33], optimization techniques [17,[34][35][36], Hilbert curve [37], backtracking [38], feedback systems [39], firefly algorithm [40], chaotic permutation [41], Galois Field [42], etc.…”

Section: Introductionmentioning

confidence: 99%

Dynamic S-Box Design Using a Novel Square Polynomial Transformation and Permutation

et al. 2021

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New era ciphers employ substitution boxes (S-boxes) which assist in the provision of security for the plaintext in the encryption phase and transforming the ciphertext on the receiver side into original plaintext in the decryption phase. The overall security of a given cipher engaging an S-box greatly depends on the cryptographic forte of the respective S-box. Consequently, many researchers have used different innovative approaches to construct robust S-Boxes. In this article, an innovative and modest square polynomial transformation, the very first time, along with a novel affine transformation and a pioneering permutation approach to construct dynamic S-boxes is proposed. The proposed method has the capability to erect a huge number of robust S-boxes by applying minute changes in the parameters of transformation and permutation processes. An example S-Box is generated, and its recital analysis has been done using typical criteria including bijectivity, strict avalanche criterion, nonlinearity, bit independence criterion, linear probability, differential probability, and fixed-point analysis to check its cryptographic forte. This performance of the proposed S-box is placed side by side against state-of-the-art S-boxes to prove its strength. The performance and comparative analyses authenticate that the projected S-box possesses the true competence for its application in modern-day ciphers.

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Quality of Service aware secure data transmission model for Internet of Things assisted wireless sensor networks

Velmurugadass

Dhanasekaran

Anand

et al. 2022

Trans Emerging Tel Tech

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Wireless sensor networks (WSNs) are the most critical networks in developing various Internet of Things (IoT) based applications. However, such intelligent devices have drawbacks for energy, memory, processing, and computation resources. In addition, achieving Quality of Service (QoS) with secure data transmission (DT) is a significant challenge for WSNs. This article proposes efficient IoT authentication and energy-aware safe DT models for achieving better QoS and security with lower energy consumption (EC) in WSNs. Initially, the network randomly deploys the sensor nodes (SNs) and performs the registration of the SNs with the base station (BS). Second, the Entropy-based Jaccard similarity induced fuzzy C-means clustering (EJS-FCM) model clusters the SNs based on the intrinsic qualities of nodes. Then the boosted grasshopper optimization algorithm (BGOA) selects the cluster heads (CHs) optimally by considering major fitness parameters such as communication distance, energy, and distance centroid. Following that, an Adler-32 hashing-based authentication scheme performs authentication of every IoT node deployed in the network to provide safer DT. After successful authentication, secure hash elliptical curve cryptography (SHECC) encrypts the data collected from the CHs by incorporating a hashing function both in encryption and decryption, enhancing the IoT data's security level. Finally, in a cloud server (CS), the decentralized blockchain (BC) stores the encrypted data and the authentication credentials of the IoT devices from the BS, which provide additional security to the network. The results of the presented model show its performance efficiency over existing approaches for energy efficiency (EE), QoS, and security.

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Implementing a Symmetric Lightweight Cryptosystem in Highly Constrained IoT Devices by Using a Chaotic S-Box

Cited by 60 publications

References 59 publications

Efficient Dynamic S-Box Generation Using Linear Trigonometric Transformation for Security Applications

Efficient Dynamic S-Box Generation Using Linear Trigonometric Transformation for Security Applications

Dynamic S-Box Design Using a Novel Square Polynomial Transformation and Permutation

Quality of Service aware secure data transmission model for Internet of Things assisted wireless sensor networks

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