利用混合模糊神经网络和改进的Diffie-Hellman密钥管理实现可再生能源在智能电网中的高效安全集成

IF 4.9 3区 计算机科学 Q1 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
E. Vignesh, P. Aruna Jeyanthy
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引用次数: 0

摘要

智能电网是将电网基础设施与现代信息通信技术(ICT)相结合的复杂网络物理系统(CPS)。然而,对信息通信技术的依赖日益增加,使得智能电网系统容易受到网络威胁。因此,实施强有力的安全措施保护智能电网CPS,确保其可靠、不间断运行至关重要。本文介绍了一种利用深度学习和密钥管理技术的有效路由和安全方法,在智能电网系统中结合网络安全措施来抵御攻击。该综合框架将混合可再生能源(HRES)整合到智能电网系统中,包括光伏(PV)系统、风力涡轮机和电池的组合。HRES智能电网系统与信息通信技术相结合,可以实时监控、管理和优化电力消耗和分配。为了促进数据的高效传输,本研究提出了一种结合模糊神经网络(FNN)的混合系统,该系统采用猎鹰优化算法(FOA)进行优化。这确保了有效的数据路由,从而提高了能源效率和网络寿命。此外,所提出的智能电网系统采用改进的Diffie-Hellman (IDH)算法,采用鲁棒的密钥管理机制。这确保了安全的数据传输,重点是数据完整性、身份验证和整体增强的保护。利用MATLAB对智能电网系统的验证进行了分析,并利用Adafruit web应用程序对监测的参数进行了可视化。结果表明,所提出的方法始终优于最先进的现有方法,确保智能电网内安全数据传输的高效和弹性解决方案。与现有技术的对比分析表明,该方法减少了加密、解密和计算时间,提高了吞吐量、数据包传送率和攻击检测率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Efficient and secure integration of renewable energy sources in smart grids using hybrid fuzzy neural network and improved Diffie-Hellman key management
The smart grid signifies a sophisticated Cyber Physical System (CPS) that merges the power grid infrastructure with modern Information and Communication Technologies (ICT). However, the increasing dependence on ICT makes smart grid system vulnerable to cyber threat. Therefore, it is crucial to implement robust security measures to protect CPS of smart grid for ensuring reliable and uninterrupted operation. This paper introduces an efficient routing and security approaches using deep learning and key management technique to incorporate cyber security measures against attacks in smart grid system. This comprehensive framework integrates Hybrid Renewable Energy Sources (HRES), into smart grid system, including the combination of Photovoltaic (PV) system, wind turbines and battery. The HRES smart grid system is incorporated with ICT, allowing for real-time monitoring, management and optimization of electricity consumption and distribution. To facilitate efficient transmission of data this research proposes a hybrid system combining Fuzzy Neural Network (FNN) optimized using Falcon Optimization Algorithm (FOA). This ensures, effective data routing, resulting in enhanced energy efficiency and network lifetime. Furthermore, the proposed smart grid system incorporates a robust key management mechanism utilizing an Improved Diffie-Hellman (IDH) algorithm. This ensures secure data transfer with a focus on data integrity, authentication, and overall enhanced protection. The validation of smart grid system is analysed using MATLAB and the parameters monitored are visualized using Adafruit web application. The outcomes demonstrate that, the proposed approach consistently outperforms state-of-art existing approaches, ensuring efficient and resilient solution of secure data transfer within smart grids. The comparative analysis with existing techniques reveals that the proposed work exhibits reduced encryption, decryption and computation times along with improved throughput, packet delivery ratio and attack detection rate.
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来源期刊
Computers & Electrical Engineering
Computers & Electrical Engineering 工程技术-工程:电子与电气
CiteScore
9.20
自引率
7.00%
发文量
661
审稿时长
47 days
期刊介绍: The impact of computers has nowhere been more revolutionary than in electrical engineering. The design, analysis, and operation of electrical and electronic systems are now dominated by computers, a transformation that has been motivated by the natural ease of interface between computers and electrical systems, and the promise of spectacular improvements in speed and efficiency. Published since 1973, Computers & Electrical Engineering provides rapid publication of topical research into the integration of computer technology and computational techniques with electrical and electronic systems. The journal publishes papers featuring novel implementations of computers and computational techniques in areas like signal and image processing, high-performance computing, parallel processing, and communications. Special attention will be paid to papers describing innovative architectures, algorithms, and software tools.
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