Data security using serial commutative RSA CORE for multiple FPGA system

R. Ambika, S. Ramachandran, K. R. Kashwan
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引用次数: 5

Abstract

Security systems play a vital role in protecting the important data in the organizations or multiple transceiver based communication systems and cryptography is one of the primary ways to protect the data. RSA algorithm is extensively used in the popular implementations of Public Key Infrastructures. Many cryptographic protocols and attacks on these protocols make use of the fact that the order in which encryption is performed does not affect the result of the encryption, i.e., encryption is commutative. This paper presents the implementation of a cryptography core based on Commutative RSA public key cryptography algorithm for accomplishing data security and authentication in environment comprising multiple FPGA cores without any key exchange overheads. In this work, in spite of considering conventional two terminal communications, we have implemented a scalable architecture for multi distributed FPGA based systems that realizes commutative RSA algorithm for verifying data security among multiple transceiver terminals. The proposed system architecture has used the Montgomery multiplication algorithm with exponential modular multiplication and Radix-2 multiplication based multiparty cryptography. The proposed multiplier is able to work with any precision of the input operands, limited only by memory or control constraints. The result obtained for this approach has illustrated a very high computational efficiency with minimum memory or space occupancy and higher operational frequency.
数据安全采用串行交换RSA CORE为多FPGA系统
安全系统在保护组织或多收发器通信系统中的重要数据方面起着至关重要的作用,而加密是保护数据的主要方式之一。RSA算法被广泛应用于公钥基础设施的实现中。许多加密协议和对这些协议的攻击都利用了执行加密的顺序不会影响加密结果这一事实,即加密是可交换的。本文提出了一种基于可交换RSA公钥加密算法的密码核实现方案,用于在无任何密钥交换开销的FPGA多核环境下实现数据安全和认证。在这项工作中,尽管考虑了传统的两个终端通信,我们已经实现了一个可扩展的架构,用于基于多分布式FPGA的系统,该系统实现了交换RSA算法,用于验证多个收发器终端之间的数据安全性。所提出的系统架构使用了Montgomery乘法算法与指数模乘法和基于Radix-2乘法的多方加密。所建议的乘法器能够使用输入操作数的任何精度,仅受内存或控制约束的限制。结果表明,该方法具有非常高的计算效率,占用内存或空间最小,操作频率更高。
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