Enhanced Chaotic Stream Cipher for WSNs

Silva, Rui Miguel Soares; Crespo, Rui Gustavo; Nunes, Mónica

doi:10.1109/ares.2010.93

Cited by 3 publications

(5 citation statements)

References 10 publications

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“…Different from the above, this paper proposes a new lightweight chaos‐based cryptosystem that combines a modified discrete version of the Lorenz system, proposed in, with improved and optimized confusion‐diffusion layers. The proposed system is designed to be fully implemented on highly constrained hardware used in constrained‐node networks.…”

Section: Background and Related Workmentioning

confidence: 99%

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A lightweight efficient chaos‐based cryptosystem for constrained‐node networks

Senouci

Sadoudi

Djamaa

et al. 2019

Int J Communication

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Interconnected sensor and actuator objects creating Constrained-Node Networks (CNN) are among the most prominent technologies of the Internet of things. Deployed to monitor our lives, surroundings, and critical infrastructure, CNN communications must be strongly secured in order to prevent devastating unauthorized access to critical information. This, however, faces severe challenges imposed by CNN constraints in terms of energy, memory, and computational power. To address such conflicting requirements, this paper presents a chaos-based efficient lightweight secure communication system for CNNs. The proposed cryptosystem performs optimized confusion-diffusion operations at the byte level allowing it to be fully implemented on an 8-bit microcontroller.Obtained results from extensive experiments at both statistical and implementation levels confirm the robustness of the proposed cryptosystem against a multitude of attacks. Additionally, the evaluated encryption/decryption speeds along with the low memory and energy consumption grant the proposed cryptosystem attractive lightweight aspects enabling its deployment in very constrained CNN applications having soft real-time requirements. KEYWORDS Chaos theory, constrained-node networks, data confidentiality, internet of thingsInt J Commun Syst. 2020;33:e4215. wileyonlinelibrary.com/journal/dacTABLE 3 Secret keys used for key sensitivity analysis Key Secret keyKey 1 x 0 = −10.000; y 0 = −5.000; z 0 = −10; = 10; = 0.01; = 3; = 28 Key 2 x 0 = −10.001; y 0 = −5.000; z 0 = −10; = 10; = 0.01; = 3; = 28 Key 3 x 0 = −10.000; y 0 = −5.001; z 0 = −10; = 10; = 0.01; = 3; = 28 values of Pvalue T knowing that if Pvalue T ≥ 0.0001, then the sequences can be considered to be uniformly distributed. As can be seen from this table, the minimum pass rate for each statistical test, except that of the random excursion (variant) test, is approximately 0.972766 for a sample size equal to 300 binary sequences. Consequently, we conclude that the encryption keys generated by DLZ pass all of the NIST tests. Therefore, we can confirm that the used encryption keys have good statistical performances, i.e., good randomness keys.How to cite this article: Senouci MR, Sadoudi S, Djamaa B, Senouci MA. A lightweight efficient chaos-based cryptosystem for constrained-node networks. Int J Commun Syst. 2020;33:e4215. https://doi.

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Section: Background and Related Workmentioning

confidence: 99%

“…The proposed chaotic generator uses a discrete version of the Lorenz system denoted DLZ and described as:

({, \begin{matrix} left left \\ array x_{n + 1} = x_{n} + σ (y_{n} - x_{n}) δ \\ array y_{n + 1} = y_{n} + (x_{n} (ρ - z_{n}) - y_{n}) δ \\ array z_{n + 1} = z_{n} + ((x_{n} y_{n}) - (β z_{n})) δ \end{matrix})

where σ , β , ρ and x 0 , y 0 , z 0 are the parameters and the initial conditions, respectively.…”

Section: The Proposed Cryptosystemmentioning

confidence: 99%

A lightweight efficient chaos‐based cryptosystem for constrained‐node networks

Senouci

Sadoudi

Djamaa

et al. 2019

Int J Communication

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“…To construct the S‐Box, we used the discretized Lorenz map mentioned in and given by the following equation:

{\begin{cases} left & x_{k + 1} = x_{k} + σ (y_{k} - x_{k}) Δt \\ left & y_{k + 1} = y_{k} + [x_{k} (ρ - z_{k}) - y_{k}] Δt \\ left & z_{k + 1} = z_{k} + [x_{k} y_{k} - β z_{k}] Δt \end{cases}

…”

Section: The Proposed Algorithms For S‐box Designmentioning

confidence: 99%

“…Applying the perturbation seems necessary like in because of the apparition of redundancy after a number of iterations. So, the output of LFSR is XORed to y k + 1 and z k + 1 , whereas x k + 1 is XORed to the integration step as expressed in the following equation :

{\begin{cases} left & y_{k + 1} = y_{k + 1} \oplus LFSR \\ left & z_{k + 1} = z_{k + 1} \oplus LFSR \\ left & Δ t = Δ t \oplus x_{k + 1} \end{cases}

…”

Section: The Proposed Algorithms For S‐box Designmentioning

confidence: 99%

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Efficient and secure chaotic S‐Box for wireless sensor network

Zaibi

Peyrard

Kachouri

et al. 2013

Security Comm Networks

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Information security using chaotic dynamics is a novel topic in the wireless sensor network (WSN) research field. After surveying analog and digital chaotic security systems, we give a state of the art of chaotic S-Box design. The substitution tables are nonlinear maps that strengthen and enhance block crypto-systems. This paper deals with the design of new dynamic chaotic S-Boxes suitable for implementation on wireless sensor nodes. Our proposed schemes are classified into two categories: S-Box based on discrete chaotic map with floating point arithmetic (cascading piecewise linear chaotic map and a three-dimensional map) and S-Box based on discrete chaotic map with fixed-point arithmetic (using discretized Lorenz map and logistic-tent map). The security analysis and implementation process on WSN are discussed. The proposed methods satisfy Good S-Box design criteria and exceed the performance of Advanced Encryption Standard static S-Box in some cases. The energy consumption of different proposals and existing chaotic S-Box designs are investigated via a platform simulator and a real WSN testbed equipped with TI MSP430f1611 micro-controller. The simulations and the experimental results show that our proposed S-Box design with fixed-point arithmetic Lorenz map has the lowest energy-consuming profile compared with the other studied and proposed S-Box design.

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A New Encryption Algorithm based on Chaotic Map for Wireless Sensor Network

Zaibi

Peyrard

Kachouri

et al. 2014

Architectures and Protocols for Secure Information Technology Infrastructures

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A new and secure chaos-based block cipher for image encryption in wireless sensor networks is proposed. The security analysis and the performances of the proposed algorithm have been investigated. The statistical analysis includes the histograms and correlation coefficients of adjacent pixels. In the differential analysis, the authors use the Number of Pixels Change Rate (NPCR) and the Unified Changing Average (UACI) measures to demonstrate the security against differential attacks. Key sensitivity analysis and key space analysis show that the proposed cipher is secure and resistant to brute force attack. The authors demonstrate that the performance of the cipher exceeds the studied encryption algorithms as well as AES (Advanced Encryption Standard). An implementation on a real wireless sensor network testbed is realized, and the energy consumption is investigated.

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Enhanced Chaotic Stream Cipher for WSNs

Cited by 3 publications

References 10 publications

A lightweight efficient chaos‐based cryptosystem for constrained‐node networks

A lightweight efficient chaos‐based cryptosystem for constrained‐node networks

Efficient and secure chaotic S‐Box for wireless sensor network

A New Encryption Algorithm based on Chaotic Map for Wireless Sensor Network

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