QCA Implementation of A5/1 Stream Cipher

Amiri, Mohammad Amin; Mahdavi, Mojdeh; Mirzakuchaki, Sattar

doi:10.1109/cenics.2009.17

Cited by 6 publications

(16 citation statements)

References 7 publications

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“…LUT, lookup table; QCA, quantum dot cellular automata F I G U R E 2 5 (a) Block diagram of memory cell [116]. (b) QCA implementation of single memory cell [116]. QCA, quantum dot cellular automata T A B L E 9 Truth table of memory cell [112] INPUT ENABLE OUTPUT…”

Section: T a B L E 8 Truth Table Of Memory Block(m) [5]mentioning

confidence: 99%

“…The outputs of two self-starved feedback QCA SRAM in each row are then linked to the clock terminal of the next block through the suggested floating clock generator in QCA. Figure 32b shows a F I G U R E 2 6 (a) Block diagram of majority function block [116]. (b) QCA implementation of majority function block [116].…”

Section: T a B L E 8 Truth Table Of Memory Block(m) [5]mentioning

confidence: 99%

“…Figure 32b shows a F I G U R E 2 6 (a) Block diagram of majority function block [116]. (b) QCA implementation of majority function block [116]. QCA, quantum dot cellular automata F I G U R E 2 7 (a) Block diagram of R2 register [116].…”

Section: T a B L E 8 Truth Table Of Memory Block(m) [5]mentioning

confidence: 99%

“…(b) QCA implementation of R2 register [116]. QCA, quantum dot cellular automata T A B L E 10 Truth table of majority function block [116]…”

Section: T a B L E 8 Truth Table Of Memory Block(m) [5]mentioning

confidence: 99%

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Cryptographic models of nanocommunicaton network using quantum dot cellular automata: A survey

Debnath¹,

Das

2021

IET Quantum Communication

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Security of information is an important issue during the transmission of information. The device that performs the encoding and decoding process is called the encoder and decoder, respectively. The major issues to develop such devices are circuit complexity and power dissipation at the nanoscale level. This can be fixed by utilising the features of reversible logic with Quantum dot cellular automata (QCA) device as a promising archetype for an alternative to the traditional transistor-based device. QCA has high protection against side-channel attacks, especially from power analysis attacks. All those features of QCA influence the researchers to explore several QCA-based cryptographic models of nanocommunication for secure data transmission. Here, the existing QCAbased circuits for cryptographic architecture are explored and compared concerning their circuit complexity, device area, and operating speeds. The working principles of each of those existing architectures have been demonstrated in detail. Besides, the embedding of reversible logic in QCA cryptographic architecture is also explored. The architectures are compared in terms of the logic used in the design. Finally, the major key issues are identified and addressed in the context of cryptographic models for future secure data transmission processes.This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

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Section: T a B L E 8 Truth Table Of Memory Block(m) [5]mentioning

confidence: 99%

Section: T a B L E 8 Truth Table Of Memory Block(m) [5]mentioning

confidence: 99%

Section: T a B L E 8 Truth Table Of Memory Block(m) [5]mentioning

confidence: 99%

“…(b) QCA implementation of R2 register [116]. QCA, quantum dot cellular automata T A B L E 10 Truth table of majority function block [116]…”

Section: T a B L E 8 Truth Table Of Memory Block(m) [5]mentioning

confidence: 99%

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Cryptographic models of nanocommunicaton network using quantum dot cellular automata: A survey

Debnath¹,

Das

2021

IET Quantum Communication

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“…The popular symmetric stream cipher algorithms including A5 (Actual Encryption Algorithm) [14], RC4 (Rivest Cipher number four) [15], Rabbit [16], and Sober [17], were adapted for testing with the same CRYPTX'98 tool and their results were compared with the stream cipher output of LEA algorithm, using the same input plaintext and key files.…”

Section: Statistical Random Testsmentioning

confidence: 99%

LEA: Link Encryption Algorithm Proposed Stream Cipher Algorithm

El‐Hennawy

Omar²,

Kholaif

2015

Ain Shams Engineering Journal

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Cryptographic algorithms for confidentiality and authentication play a major important role in nowadays information security Sen (2012) [1]. Encryption algorithms are becoming more necessary to ensure the securely transmitted data over insecure communication channels. A new stream cipher is proposed. The design is very simple and based on 16 shift registers, nonlinear and an output function. The proposed algorithm is characterized by a high performance in software with measured encryption/decryption on Pentium IV processor. We have performed detailed security analysis, in particular, and standard statistical randomness test of the produced ciphertext. Experimental results in terms of performance and resources are presented.Ó 2014 Production and hosting by Elsevier B.V. on behalf of Ain Shams University.

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User Authentication Based on Quantum-Dot Cellular Automata Using Reversible Logic for Secure Nanocommunication

Das

2015

Arab J Sci Eng

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QCA Implementation of A5/1 Stream Cipher

Cited by 6 publications

References 7 publications

Cryptographic models of nanocommunicaton network using quantum dot cellular automata: A survey

Cryptographic models of nanocommunicaton network using quantum dot cellular automata: A survey

LEA: Link Encryption Algorithm Proposed Stream Cipher Algorithm

User Authentication Based on Quantum-Dot Cellular Automata Using Reversible Logic for Secure Nanocommunication

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