面向司法区块链数据的基于回声状态网络的能源互联网噪声检测

Shi Hongming, Guo Jia, Ming Yangyang, Cao Junwei
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引用次数: 0

摘要

能源互联网(Energy Internet, EI)是将能源系统与信息通信技术巧妙结合,提高能源生产、传输和利用效率、降低成本的热门研究课题,其相关数据需要存储在司法区块链中,以备可能发生的诉讼。为了保证存储在司法区块链中的EI数据的完整性,噪声检测是必要的功能,它可以检测噪声的幅度,从而进一步发现网络攻击。为了解决这一问题,已有许多噪声检测算法,作者首先采用三层人工神经网络(ANN)快速有效地估计噪声水平。本文在前人研究的基础上,利用回声状态网络(ESN)解决了这一问题,并在大多数场景下获得了较好的仿真效果。仿真结果表明,在连续4个样本中,噪声干扰或网络攻击行为的检测概率为99%。将该算法应用于司法区块链将使系统更加鲁棒性和安全性,并且可以大大降低其数据处理成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Echo State Network based Noise Detection in Energy Internet Orienting Justice Blockchain Data
Energy Internet (EI) is a hot research topic which smartly combines the energy system and information and communication technologies to promote the efficiency and reduce the cost of energy generation, transmitting and utilizing, its related data need to be stored in justice blockchain for possible lawsuit. To ensure the integrate of EI data stored in justice blockchain, noise detection is a necessary function which can detect the amplitude of noise and further discover the cyber attacking. To solve this problem, many noise detecting algorithms are available, and the authors have firstly used three layers artificial neural network (ANN) to estimate the noise level quickly and efficiently. In this paper, based on previous research, the authors manage to use Echo State Network (ESN) to solve this problem, and get better simulation results in most scenes. As the simulation results show, the noise interference or cyber attacking behavior can be detected with probability 99% within 4 continuous samples. Applying this algorithm in justice blockchain will make the system more robust and secure, and its data handling cost can be largely reduced.
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