Reliable and Error Detection Architectures of Pomaranch for False-Alarm-Sensitive Cryptographic Applications

Kermani, Mehran Mozaffari; Azarderakhsh, Reza; Aghaie, Anita

doi:10.1109/tvlsi.2014.2382715

Cited by 38 publications

(17 citation statements)

References 13 publications

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“…According to the analysis of neural network, it can be clearly seen that in the application of BP neural network model in the company, although the output value of BP network is relatively low, on the whole, it fluctuates slightly between the satisfactory value, and the stability is relatively high [28][29][30]. This paper believes that the decision requirements are met.…”

Section: E Discussionmentioning

confidence: 85%

Research on Strategic Decision Model of Human Resource Management based on Biological Neural Network

2023

IJACSA

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Human resource management system is an indispensable part of information strategy construction. Based on the theory of biological neural network, this paper constructs the strategic decision model of human resources management, then uses the micro-integration method to predict the demand for human resources, and solves the quantification problem of human resources supply prediction. In the simulation process, the model analyzes the current situation of the personnel management system and the necessity of research and plans and designs a computer-aided personnel management information system based on the Client/Server biological neural network structure. Personnel quality evaluation through the evaluation and analysis of the quality of the evaluated, to provide effective reference information for the enterprise personnel decision and index selection, the enterprise human resources allocation, use, training and development is of great significance. Neural networks rely on the powerful data storage, processing and computing capabilities of computers to help enterprises respond quickly to changes in external market conditions, improve the efficiency of decision-making, and create greater value for enterprises. Through experimental testing, it is found that when the iteration is 5, the network verification results have the best consistency. When the iterations reach 7, the standard of training target error set in this paper is reached. When the samples reached 60, the screening accuracy of the network reached 92.18%; when the samples increased to 80, the screening accuracy was further improved to 92.84%, indicating that the screening accuracy of the network increased with the training samples, which could be used to detect and classify samples quickly, objectively and accurately.

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Section: E Discussionmentioning

confidence: 85%

Research on Strategic Decision Model of Human Resource Management based on Biological Neural Network

2023

IJACSA

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“…For sensitive systems, degraded performance can lead to disastrous results; consequently, research has explored strategies to reduce errors and provide higher reliability with acceptable overhead [16,17,18,19,20,21,22,23,24]. In [16], a ingerprint-based technique for detecting malicious programs in hardware is presented.…”

Section: Previous Workmentioning

confidence: 99%

“…In [16], a ingerprint-based technique for detecting malicious programs in hardware is presented. Fault diagnosis approaches based on multiterm signatures against false-alarms, which may be unacceptable in critical intelligent infrastructures, are presented in [17]. In [18] and [19], fault detection mechanisms are presented for the lightweight cryptographic block cipher QARMA and polynomial basis inversions, respectively.…”

Section: Previous Workmentioning

confidence: 99%

“…• For m = 13 with CRC-2 in the α 2 module, д 0 (α ) is utilized in (17) to determine the predicted CRC-2 equation for GF (2 13 ), denoted as PCRC2 13 , obtaining…”

Section: Crc For αmentioning

confidence: 99%

“…Then, the coeicients from ( 17) are renamed to determine the actual CRC-2 equation for GF (2 13 ) in the α 2 module, denoted as ACRC2 13 , getting the same derivations as for the α module. • For m = 13 with CRC-8 in the α 2 module, д 1 (α ) is utilized in (17) to determine the predicted CRC-8 equation for GF (2 13 ), denoted as PCRC8 13 , obtaining…”

Section: Crc For αmentioning

confidence: 99%

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Reliable Constructions for the Key Generator of Code-based Post-quantum Cryptosystems on FPGA

Canto

Kermani

Azarderakhsh

2022

J. Emerg. Technol. Comput. Syst.

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Advances in quantum computing have urged the need for cryptographic algorithms which are low-power, low-energy, and secure against attacks that can be potentially enabled. For this post-quantum age, different solutions have been studied. Code-based cryptography is one feasible solution whose hardware architectures have become the focus of research in the NIST standardization process and has been advanced to the final round (to be concluded by 2022-2024). Nevertheless, although these constructions, e.g., McEliece and Niederreiter public key cryptography, have strong error correction properties, previous studies have proved the vulnerability of their hardware implementations against faults product of the environment and intentional faults, i.e., differential fault analysis (DFA). It is previously shown that depending on the codes used, i.e., classical or reduced (using either quasi-dyadic Goppa codes or quasi-cyclic alternant codes), flaws in error detection could be observed. In this work, efficient fault detection constructions are proposed for the first time to account for such shortcomings. Such schemes are based on regular parity, interleaved parity, and two different cyclic redundancy checks (CRC), i.e., CRC-2 and CRC-8. Without losing the generality, we experiment on the McEliece variant, noting that the presented schemes can be used for other code-based cryptosystems. We perform error detection capability assessments and implementations on field-programmable gate array (FPGA) Kintex-7 device xc7k70tfbv676-1 to verify the practicality of the presented approaches. To demonstrate the appropriateness for constrained embedded systems, the performance degradation and overheads of the presented schemes are assessed.

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A Lightweight Cryptography Technique with Random Pattern Generation

Thangamani

Meenakshi

2019

Wireless Pers Commun

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Reliable and Error Detection Architectures of Pomaranch for False-Alarm-Sensitive Cryptographic Applications

Cited by 38 publications

References 13 publications

Research on Strategic Decision Model of Human Resource Management based on Biological Neural Network

Research on Strategic Decision Model of Human Resource Management based on Biological Neural Network

Reliable Constructions for the Key Generator of Code-based Post-quantum Cryptosystems on FPGA

A Lightweight Cryptography Technique with Random Pattern Generation

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