Provable-Security Analysis of Authenticated Encryption Based on Lesamnta-LW in the Ideal Cipher Model

Hirose, Sachiko; Kuwakado, Hidenori; Yoshida, Hirotaka

doi:10.1587/transinf.2021ngp0008

Cited by 1 publication

(4 citation statements)

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“…Moreover, PHO-TON and SPONGENT are optimized for implementation on hardware, whereas Lesamnta-LW has been optimized for implementation in software. 67 Considering that SPONGENT and PHOTON have similar properties, a comparison of the characteristics of SPON-GENT and Lesamnta-LW to best fit our proposed PRNG algorithm was undertaken. In a study by Shoichi et al, a comparison analysis was performed for Lesamnta-LW using software-based implementations that resulted in 120-bit collision resistance and 54 bytes of RAM utilization, however SPONGENT results revealed 80-bit collision resistance using 1329 gate equivalent (GE).…”

Section: Choice Of Hashing Functionmentioning

confidence: 99%

“…Table 6 provides a comparison of Raspberry pi Zero W, 3B+ and pi4 based on technical specifications including processor, memory, connectivity options and power consumption in idle state. 67 The choice of Raspberry pi modules is made in such a way that the proposed algorithm can be tested on extremely resource constrained raspberry pi Zero W model (single core processor and 512 MB RAM) and in advanced Raspberry pi 4 model (Quad core processor and up to 8 GB RAM). Table 5 summarizes the technical specifications of Raspberry pi used for experimentation.…”

Section: Performance Testing On Iot Devicesmentioning

confidence: 99%

“…Since the SPONGENT hashing is a standard hashing algorithm and the execution time and resource utilization by the hashing function has already been studied in different studies 67,69,[83][84][85] our contribution in this work is the proposal of a sawtooth map based CML system which has been used in conjunction with SPONGENT hashing for enhanced security. Tables shows a summary of results for time taken by the sawtooth based CML system, to generate pseudo random numbers for an increasing number of iterations and lattice points.…”

Section: Performance Testing On Iot Devicesmentioning

confidence: 99%

“…SPONGENT and Leamnta‐LW have the same sponge‐based construction design, whereas Lesamnta‐LW is based on Merkle‐Damgård 66 hashing which relies on dedicated block cipher schemes, for which the compression function is half of the block size. Moreover, PHOTON and SPONGENT are optimized for implementation on hardware, whereas Lesamnta‐LW has been optimized for implementation in software 67 …”

Section: Pseudo Random Number Generation Using Sawtooth Based CMLmentioning

confidence: 99%

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A resource efficient pseudo random number generator based on sawtooth maps for Internet of Things

Zia

McCartney

Scotney

et al. 2023

Security and Privacy

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The strength of cryptographic keys rely on the random number generators (RNGs) to produce random seed values. Unfortunately there are not many RNGs options suitable for Internet of Things (IoTs) scenario, due to limited processing resources and bulk quantity of IoT data that needs to be secured. In this article, we studied sawtooth map which is a chaotic map. However, when implemented on a computer, the sawtooth map results on a non‐chaotic orbit due to the finite precision of computation. This can be avoided if we use the sawtooth map as the local map in a coupled map lattice (CML) system. We explore such coupled map systems for randomness through entropy and statistical analysis. Based on the results, we propose a lightweight hybrid pseudo random number generator (PRNG) based on sawtooth based CML system and SPONGENT hashing. The proposed PRNG is thoroughly tested against statistical attacks, entropy analysis, key space analysis and compared with existing state of the art solutions. The results provide evidence that the proposed PRNG produces random numbers that could produce sufficiently strong cryptographic keys for resource constrained IoT devices.

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Section: Choice Of Hashing Functionmentioning

confidence: 99%

Section: Performance Testing On Iot Devicesmentioning

confidence: 99%