In this proposed work, a new strategy for improving data security is presented. This approach makes use of multilayer Linear Feedback Shift Register (LFSR) cryptographic algorithms. The purpose of this approach is to ...
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Identification-based protection algorithms are cryptographic algorithms that provide authentication and facts integrity by verifying the identities of customers or resources inside a gadget. Such algorithms may be app...
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Polynomial multiplication leads to a significant computational and spatial burden in cryptographic algorithms, posing challenges to optimization endeavors. In this work, we propose a hybrid series-parallel polynomial ...
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An important aspect for both individuals and business data is security. Security has been studied extensively by many researchers. Security gaps or threats are ever increasing, and data protection is a primary issue. ...
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The RSA algorithm, as one of the cornerstones in the field of cyber security, has always received widespread attention and research. Many scholars have published relevant research papers. This article focuses on the h...
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The Internet of Things is millions of devices that communicate with each other and transmit sensitive information between them. The information is collected through the sensors on these devices, and is transmitted bet...
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the primary purpose is to investigate the possibility of utilizing quantum algorithms in order to improve the error rate of quantum computing devices. The Components and Procedures: We gathered twenty samples and divi...
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In this paper we will look at how quantum computers solve problems used in modern cryptographic systems, and what post-quantum cryptographic systems exist. We focus on the scheme, that developed in the direction of mu...
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As increase in the technology like Internet of things and Cloud computing the demand of data security is also increasing. Because the people’s data is not safe on the cloud and the internet. So here the encryption al...
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Homomorphic encryption (HE) allows computations to be directly carried out on ciphertexts and is essential to privacy-preserving computing, such as neural network inference, medical diagnosis, and financial data analy...
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