Comparative Analysis of Lightweight Block Ciphers in IoT-Enabled Smart Environment

Sehrawat, Deepti; Gill, Nasib Singh; Devi, Munisha

doi:10.1109/spin.2019.8711697

Cited by 11 publications

(5 citation statements)

References 18 publications

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“…This method was successfully applied to block cipher based on Feistel network with ARX-like round function: SPECK, TEA, etc. The method described above is more suited to ciphers with a fairly simple round function, which does not assume the division of the input value into words (for example, for most well-known lightweight cryptography algorithms [22][23][24][25][26][27][28][29][30][31][32][33]). This is explained by the fact that when themodulo addition and rotation operations are applied to the whole input value, constructing partial DDT for such a round function is simple enough.…”

Section: Methods For Estimating Arx-ciphers' Strength To Differentialmentioning

confidence: 99%

Differential Cryptanalysis of the Lightweight Block Cipher Cypress-256

Rodinko¹,

Oliynykov²,

Yubuzova³

2020

IJC

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This paper presents the results of differential cryptanalysis of the lightweight block cipher Cypress-256. The method for searching multi-round differential characteristic of the block cipher Cypress-256 is proposed. The searching assumes 1) building a big set of one-round differential characteristics and search for possible combinations of one-round characteristics into multi-round ones; 2) extending one-round differential characteristics with the probability up to certain threshold into multi-round characteristics. The following experiments show that the most probable one-round differential characteristics have input differences with 4-6 active bits which are distributed between different words. Besides that, high-probable one-round differential characteristics, which output differences have a small Hamming weight, cannot be extended to build high-probable multi-round differential characteristics. Due to application of the method assuming extension of one-round differential characteristics into multi-round ones, the differential characteristic up to 6 rounds was built, so 10-round block cipher Cypress-256 is resistant to differential cryptanalysis according to the requirements of practical criterion.

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Section: Methods For Estimating Arx-ciphers' Strength To Differentialmentioning

confidence: 99%

Differential Cryptanalysis of the Lightweight Block Cipher Cypress-256

Rodinko¹,

Oliynykov²,

Yubuzova³

2020

IJC

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“…The quality of software can be increased through many ways like testing each component at every phase of the software development life cycle (early removal of bugs), using various optimization techniques [31][32][33][34][35][36][37][38]. Nowadays, a reliable, more efficient, and fault-free software product is demanded in almost every field like routing protocols in the area of communication, big data analysis in the area of security of web, social networking sites, facial recognition and for working in a smart environment, etc [39][40][41][42][43][44][45][46][47][48][49]. But, my work focuses on making an early fault predicting reliability model based on component-based software using computational intelligence techniques.…”

Section: Hu Et Al Used Modified Adaptive Testing For Developing a Model For Estimating The Reliability Of Component-based Systemsmentioning

confidence: 99%

Component-Based Software System using Computational Intelligence Technique for Reliability Prediction

Yadav¹

2020

IJATCSE

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Software developers and companies are working to create reliable software for their users. This has resulted in the need for enhancing predictive software quality models for risk-less software development based on the type of software. Development and testing costs can be reduced by reusing existing codes and components. Re-use of components results in increased productivity, quality, and maintainability of the software as iterations are made for incremental changes, new developments altogether, and reducing development cost, time, effort. Component-based software systems along with soft computing techniques should be used for having more reliable software. With the increase in demand for software quality prediction, several techniques have been used to predict software quality. The focus of this paper is on the software product's quality; metrics and we thoroughly review the literature of existing computational intelligence/soft computing techniques and analyze the findings according to the techniques. We have discussed models for software quality prediction for component-based software and computational intelligence techniques which are widely prevalent for software quality prediction and compare different techniques. In our study, we have done a comparative analysis of soft computing techniques. This study will help the other researchers to study and understand which technique would be more helpful in making the software reliability prediction model for component-based software by combining different computational techniques.

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“…We can write K = (l m-2 ,… l 0 , k 0 ) where l i , k 0 € GF(4) n , for a value of m in {2,3,4}. Sequences k i and l i are defined by (4) and (5) respectively.…”

Section: Arx Round Operationsmentioning

confidence: 99%

“…The rest of the paper is structured as follows: Section 2 presents related work. A new family of lightweight block ciphers is proposed in section 3 after deep analysis of various existing LBCs and attacks on existing ciphers which are culminated in the publication in [5,6]. In section 4 performance of proposed BRIGHT cipher is evaluated.…”

Section: Introductionmentioning

confidence: 99%

Bright - Proposed Family of Lightweight Block Ciphers for IoT-Enabled Smart Environment

Sehrawat¹

2019

IJITEE

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Lightweight security algorithms are tailored for resource-constrained environment. To improve the efficiency of an algorithm, usually, a tradeoff is involved in lightweight cryptography in terms of its memory requirements and speed. This paper proposes a software-oriented new family of lightweight block ciphers, BRIGHT. Proposed family of ciphers support a range of block and key sizes for constraint environment. BRIGHT family has 6 variants and all variants fulfill Strict Avalanche Criteria and key sensitivity test. It is believed that BRIGHT family of ciphers provides better security and performance in IoT-enabled smart environment. Our aim, while designing BRIGHT is to enhance the cipher for IoT applications. For this, we have used the concept of key whitening that helps to resist against attacks like MITM and brute-force. Round permutation in BRIGHT results in stronger and faster diffusion and provides resistance against linear, differential, impossible differential, related-key rectangle, biclique, MITM, and statistical saturation attack which is likely to be applied to GFN based ciphers. BRIGHT using round constant thwarts attacks like rotational cryptanalysis, self-similarity, invariant attack, related-key attacks, and weak key attacks.

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Comparative Analysis of Lightweight Block Ciphers in IoT-Enabled Smart Environment

Cited by 11 publications

References 18 publications

Differential Cryptanalysis of the Lightweight Block Cipher Cypress-256

Differential Cryptanalysis of the Lightweight Block Cipher Cypress-256

Component-Based Software System using Computational Intelligence Technique for Reliability Prediction

Bright - Proposed Family of Lightweight Block Ciphers for IoT-Enabled Smart Environment

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