Evaluation of a Fast Symmetric Cryptographic Algorithm Based on the Chaos Theory for Wireless Sensor Networks

Mansour, Ismail; Chalhoub, Gérard; Bakhache, Bassem

doi:10.1109/trustcom.2012.154

Cited by 13 publications

(9 citation statements)

References 15 publications

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“…The chaos maps are often based on the floating-point computations [16], [38], which demand greater precision and energy, hence inappropriate for systems with resource constraints such as wireless networks. In some of the proposed methods, chaos maps along with the floating-point computations are also used prior to the encryption process, e.g., key generation process [39].…”

Section: B Chaos-based Solutionsmentioning

confidence: 99%

“…Table 3 shows the characteristics of a number of chaosbased encryption algorithms in wireless sensors that are compared in two dimensions of performance and security. The article [38] and [39] were implemented and [7], [14], and [16] were simulated to evaluate the algorithms. In literature for performance evaluation, the memory, time and energy consumption of algorithms are often considered for investigation.…”

Section: B Chaos-based Solutionsmentioning

confidence: 99%

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A Low Power Cryptography Solution Based on Chaos Theory in Wireless Sensor Nodes

et al. 2019

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Unobtrusive personal data collection by wearable sensors and ambient monitoring has increased concerns about user privacy. Applying cryptography solutions to resource constraint wireless sensors as one of the privacy-preserving solutions demand addressing limited memory and energy resources. In this paper, we set up testbed experiments to evaluate the existing cryptographic algorithms for sensors, such as Skipjack and RC5, which are less secure compared to block cipher based on chaotic (BCC) on existing IEEE802.15.4 based SunSPOT sensors. We have proposed modified BCC (MBCC) algorithm, which uses chaos theory characteristics to achieve higher resistance against statistical and differential attacks while maintaining resource consumption. Our comparison observations show that MBCC outperforms BCC in both energy consumption and RAM usage and that both MBCC and BCC outperform RC5 and Skipjack in terms of security measures, such as entropy and characters frequency. Our comparison analysis of MBCC vs BCC suggests 13.44% lower RAM usage for encryption and decryption as well as 6.4 and 6.6 times reduced consumed time and energy for encrypting 32-bit data, respectively. Further analysis is reported for increasing the length of MBCC key, periodical generation of master key on the base station and periodical generation of round key on the sensors to prevent the brute-force attacks. An overall comparison of cipher techniques with respect to energy, time, memory and security concludes the suitability of MBCC algorithm for resource constraint wireless sensors with security requirements.

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Section: B Chaos-based Solutionsmentioning

confidence: 99%

Section: B Chaos-based Solutionsmentioning

confidence: 99%

A Low Power Cryptography Solution Based on Chaos Theory in Wireless Sensor Nodes

et al. 2019

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“…The AES algorithm has been used for various wireless sensor network standards such as Zig Bee, Wireless HART and ISA100.11a. Both algorithms are evaluated on TelosB motes and it was demonstrated that the chaos-based algorithm is much faster than the AES-based algorithm with the same cryptography quality [25].…”

Section: Literature Surveymentioning

confidence: 99%

Applied Cryptography Using Chaos Function for Fast Digital Logic-Based Systems in Ubiquitous Computing

Shukla

Khare²,

Rizvi

et al. 2015

Entropy

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Abstract:Recently, chaotic dynamics-based data encryption techniques for wired and wireless networks have become a topic of active research in computer science and network security such as robotic systems, encryption, and communication. The main aim of deploying a chaos-based cryptosystem is to provide encryption with several advantages over traditional encryption algorithms such as high security, speed, and reasonable computational overheads and computational power requirements. These challenges have motivated researchers to explore novel chaos-based data encryption techniques with digital logics dealing with hiding information for fast secure communication networks. This work provides an overview of how traditional data encryption techniques are revised and improved to achieve good performance in a secure communication network environment. A comprehensive survey of existing chaos-based data encryption techniques and their application areas are presented. The OPEN ACCESSEntropy 2015, 17 1388 comparative tables can be used as a guideline to select an encryption technique suitable for the application at hand. Based on the limitations of the existing techniques, an adaptive chaos based data encryption framework of secure communication for future research is proposed.

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“…They have pseudo-random behavior for nonauthorized parties [Akhshani et al, 2012;El Assad et al, 2014;Kassem et al, 2014;Chiaraluce et al, 2002;Chen et al, 2004;Behnia et al, 2008;Wang et al, 2013;Chang, 2009]. Experimental results show that the chaos-based encryption algorithm can overcome security issues in efficient and adaptive ways compared to the classical encryption ones (such as DES and AES) [Abd El-Latif et al, 2012;Furht & Socek, 2003;Li et al, 2006;Bhargava et al, 2004;Mansour et al, 2012;Bhatnagar & Jonathan Wu, 2012].…”

Section: Introductionmentioning

confidence: 99%

Fast and Secure Chaos-Based Cryptosystem for Images

Farajallah

Assad

Déforges

2016

Int. J. Bifurcation Chaos

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Nonlinear dynamic cryptosystems or chaos-based cryptosystems have been attracting a large amount of research since 1990. The critical aspect of cryptography is to face the growth of communication and to achieve the design of fast and secure cryptosystems. In this paper, we introduce three versions of a chaos-based cryptosystem based on a similar structure of the Zhang and Fridrich cryptosystems. Each version is composed of two layers: a confusion layer and a diffusion layer. The confusion layer is achieved by using a modified 2-D cat map to overcome the fixed-point problem and some other weaknesses, and also to increase the dynamic key space. The 32-bit logistic map is used as a diffusion layer for the first version, which is more robust than using it in 8-bit. In the other versions, the logistic map is replaced by a modified Finite Skew Tent Map (FSTM) for three reasons: to increase the nonlinearity properties of the diffusion layer, to overcome the fixed-point problem, and to increase the dynamic key space. Finally, all versions of the proposed cryptosystem are more resistant against known attacks and faster than Zhang cryptosystems. Moreover, the dynamic key space is much larger than the one used in Zhang cryptosystems. Performance and security analysis prove that the proposed cryptosystems are suitable for securing real-time applications.

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Evaluation of a Fast Symmetric Cryptographic Algorithm Based on the Chaos Theory for Wireless Sensor Networks

Cited by 13 publications

References 15 publications

A Low Power Cryptography Solution Based on Chaos Theory in Wireless Sensor Nodes

A Low Power Cryptography Solution Based on Chaos Theory in Wireless Sensor Nodes

Applied Cryptography Using Chaos Function for Fast Digital Logic-Based Systems in Ubiquitous Computing

Fast and Secure Chaos-Based Cryptosystem for Images

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