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您的检索式：作者名="Insha Syed"
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| 1 | An efficient permutation approach for SbPN-based symmetric block ciphers显示文摘It is challenging to devise lightweight cryptographic primitives efficient in both hardware and software that can provide an optimum level of security to diverse Internet of Things applications running on low-end constrained devices.Therefore,an effcient hardware design approach that requires some specific hardware resource may not be effcient if implemented in software.Substitution bit Permutation Network based ciphers such as PRESENT and GIFT are effcient,lightweight cryptographic hardware design approaches.These ciphers introduce confusion and diffu-sion by employing a 4×4 static substitution box and bit permutations.The bit-wise permutation is realised by sim-ple rerouting,which is most cost-effective to implement in hardware,resulting in negligible power consumption.However,this method is highly resource-consuming in software,particularly for large block-sized ciphers,with each single-bit permutation requiring multiple sub-operations.This paper proposes a novel software-based design approach for permutation operation in Substitution bit Permutation Network based ciphers using a bit-banding fea-ture.The conventional permutation using bit rotation and the proposed approach have been implemented,analysed and compared for GIFT and PRESENT ciphers on ARM Cortex-M3-based LPC1768 development platform with KEIL MDK used as an Integrated Development Environment.The real-time performance comparison between conven-tional and the proposed approaches in terms of memory(RAM/ROM)footprint,power,energy and execution time has been carried out using ULINKpro and ULINKplus debug adapters for various code and speed optimisation sce-narios.The proposed approach substantially reduces execution time,energy and power consumption for both PRE-SENT and GIFT ciphers,thus demonstrating the effciency of the proposed method for Substitution bit Permutation Network based symmetric block ciphers. | Mir Nazish M.Tariq Banday Insha Syed Sheena Banday | 2024 | Cybersecurity2024，7，2： | 0 |
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