Post-Quantum Cryptoprocessors Optimized for Edge and Resource-Constrained Devices in IoT

Ebrahimi, Shahriar; Bayat-Sarmadi, Siavash; Mosanaei-Boorani, Hatameh

doi:10.1109/jiot.2019.2903082

Cited by 62 publications

(83 citation statements)

References 25 publications

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“…[25] that included a feedback loop and iterative architecture, which occupied fewer areas and required more clock cycles. To make a fair comparison with [25], AT = area × time has been calculated, which is a common and wide measurement in literature, including [31]. As the proposed cryptosystem has been tested by 688 × 576 pixels images, the encryption time in [25] has been manually calculated, and it is equal to 507 µs (for the proposed design it is equal to 40 µs).…”

Section: Implementation Results Simulation and Comparisonmentioning

confidence: 99%

High throughput and area‐efficient FPGA implementation of AES for high‐traffic applications

Shahbazi

2020

IET Computers & Digital Techniques

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Section: Implementation Results Simulation and Comparisonmentioning

confidence: 99%

High throughput and area‐efficient FPGA implementation of AES for high‐traffic applications

Shahbazi

2020

IET Computers & Digital Techniques

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“…If isogeny is separable between two curves, we say that they are isogenous [ 41 ]. Tate’s theorem [ 42 , 43 ] is that two curves

over

are isogenous if and only if

. An isogeny can be identified by its kernel in such a way that for every finite subgroup G of

, there is a unique

and a separable isogeny φ:

with kernel G such that φ:

.…”

Section: Lightweight Postquantum Signature Scheme For Ioementioning

confidence: 99%

Towards Green Computing Oriented Security: A Lightweight Postquantum Signature for IoE

Rani

Kumar

Kaiwartya

et al. 2021

Sensors

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Postquantum cryptography for elevating security against attacks by quantum computers in the Internet of Everything (IoE) is still in its infancy. Most postquantum based cryptosystems have longer keys and signature sizes and require more computations that span several orders of magnitude in energy consumption and computation time, hence the sizes of the keys and signature are considered as another aspect of security by green design. To address these issues, the security solutions should migrate to the advanced and potent methods for protection against quantum attacks and offer energy efficient and faster cryptocomputations. In this context, a novel security framework Lightweight Postquantum ID-based Signature (LPQS) for secure communication in the IoE environment is presented. The proposed LPQS framework incorporates a supersingular isogeny curve to present a digital signature with small key sizes which is quantum-resistant. To reduce the size of the keys, compressed curves are used and the validation of the signature depends on the commutative property of the curves. The unforgeability of LPQS under an adaptively chosen message attack is proved. Security analysis and the experimental validation of LPQS are performed under a realistic software simulation environment to assess its lightweight performance considering embedded nodes. It is evident that the size of keys and the signature of LPQS is smaller than that of existing signature-based postquantum security techniques for IoE. It is robust in the postquantum environment and efficient in terms of energy and computations.

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“…Also, there are many efforts for implementing these schemes in low-processing capacity microcontrollers such as 8 bit and 32 bit ARM processors. Ebrahimi et al 49 proposed the InvRBLWE scheme that is secure against quantum-based attacks that can be used in resource-constrained nodes. Shahid et al 50 proposes a distributed ledger scheme, such as the ones used for secure transactions of crypto-currencies, based on a one-time signature that offers low energy consumption and is adapted for IoT nodes.…”

Section: Post-quantum Security In Iot Networkmentioning

confidence: 99%

Quantum-based wireless sensor networks: A review and open questions

Rivero-Ángeles

2021

International Journal of Distributed Sensor Networks

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Applications of quantum computing are growing at a very fast pace, for example, from quantum computers to quantum algorithms and even to the development of the quantum Internet. However, the use of quantum technology in wireless sensor networks has not been thoroughly investigated just yet. This is in part due to the complexity of using big, costly, and highly energy-consuming machines that are quantum computers to this date, compared to the nodes used in wireless sensor networks which are small, inexpensive, and operate with very low energy consumption requirements. However, we can expect that in the future (possibly in the next decade) quantum computers will be commercial and reduced in size, and hence, they can be used for sensor network applications which are the basis of the Internet of Things. In this review, we study the road from quantum computing to quantum wireless sensor networks and how the analysis and design of these systems have to change to accommodate quantum capabilities in sensors, processors, communication links, and overall performance of these monitoring networks.

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Post-Quantum Cryptoprocessors Optimized for Edge and Resource-Constrained Devices in IoT

Cited by 62 publications

References 25 publications

High throughput and area‐efficient FPGA implementation of AES for high‐traffic applications

High throughput and area‐efficient FPGA implementation of AES for high‐traffic applications

Towards Green Computing Oriented Security: A Lightweight Postquantum Signature for IoE

Quantum-based wireless sensor networks: A review and open questions

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