OCPP安全-检测恶意流量的神经网络

A. Moroșan, Florin Pop
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引用次数: 15

摘要

由于电动交通的重点是环保交通工具,因此为智能城市环境设计的分布式平台可以管理充电站至关重要。分布式系统和云计算的主要问题之一是安全性。本文的目的是使用反向传播神经网络来确定恶意流量。本文的主要重点是提出一种能够检测故障、随机和正常类型流量的复合网络。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
OCPP security - Neural network for detecting malicious traffic
Because the electric mobility has its focus on eco-friendly means of transport, a distributed platform designed for a smart city environment that can manage the electrical charging stations is vital. One of the major problems of distributed systems and cloud is security. The purpose of this article is to determine the malicious traffic using a backpropagation neural network. The main focus of the paper is to present a composite network that is able to detect faulted, random and normal types of traffic.
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