Development of Mobile Facilities of Neuro-like Cryptographic Encryption and Decryption of Data in Real Time

I. Tsmots, V. Rabyk, Yurii Lukashchuk
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引用次数: 2

Abstract

The requirements are formed, the method is chosen and the main stages of development of mobile means of neuro-like cryptographic encryption and real-time data decryption are considered. It is shown that the development of mobile means of neuro-like cryptographic encryption and decryption of real-time data with high efficiency of equipment is reduced to minimize hardware costs while providing a variety of requirements, characteristics and limitations. The tabular-algorithmic method of calculating the scalar product has been improved. Namely, the ability to work with floating-point operands has been added and it is focused on hardware and software implementation. Developed on the basis of a universal processor core, supplemented by specialized modules, mobile means of neuro-like cryptographic encryption and data decryption. Which due to the combination of universal and specialized approaches, software and hardware provides effective implementation of algorithms for cryptographic encryption and decryption of data in real time. It is proposed to use a multioperand approach, tables of macroparticle products and bases of elementary arithmetic operations to achieve high technical and economic indicators in the implementation of specialized modules of neuro-like cryptographic encryption and real-time data decryption. Specialized modules of neuro-like cryptographic encryption and data decryption have been implemented using the VHDL hardware programming language and the Quartus II development environment (version 13.1) on the FPGA. The evaluation of hardware and time parameters of the developed specialized module of neurosimilar cryptographic data decryption is carried out.
类神经密码实时加解密移动设备的研制
提出了需求,选择了方法,考虑了类神经密码加密和实时数据解密移动手段发展的主要阶段。研究表明,在提供各种要求、特点和局限性的同时,减少了对设备高效的实时数据进行类神经密码加解密的移动手段的开发,以最大限度地降低硬件成本。对计算标量积的表格算法进行了改进。也就是说,增加了处理浮点操作数的能力,并将重点放在硬件和软件实现上。以通用处理器核心为基础,辅以专用模块、类神经密码加密和数据解密的移动手段。由于通用和专用方法的结合,软件和硬件为数据的实时加密和解密提供了有效的算法实现。在实现类神经密码加密和实时数据解密的专用模块时,提出了采用多操作数方法、宏观粒子积表和基本算术运算库实现高技术经济指标的方法。在FPGA上使用VHDL硬件编程语言和Quartus II (version 13.1)开发环境实现了类神经密码加密和数据解密的专用模块。对所开发的神经相似密码数据解密专用模块的硬件参数和时间参数进行了评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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