摘要
由于船舶网络的级别不同,对应不同级别信息安全的风险因素也有很大差异,传统的基于网络信息的风险管理方法主要根据网络的总体系数来控制网络信息的相对安全风险。评估结果的准确性和代表性之间存在一定差异,这降低了评估数据的适用性。为了减少评估误差,提高评估结果的准确性,本文提出将人工智能应用于船舶网络安全控制系统的调查。针对传统船舶网络保护和控制系统的缺陷,提出一种以人工智能为核心的船舶网络保护策略,将人工智能应用于船舶网络以实现有效拦截。
Due to the different levels of ship network, the risk factors corresponding to different levels of information security are also very different. The traditional risk management methods based on network information mainly control the relative security risk of network information according to the overall coefficient of the network. There is some difference between the accuracy and representativeness of the evaluation results, which reduces the applicability of the evaluation data.In order to reduce the evaluation error and improve the accuracy of the evaluation results, this paper proposes to apply AI to the investigation of the ship network security control system. Aiming at the defects of traditional ship network protection and control system, a ship network protection strategy with artificial intelligence is proposed, including applying artificial intelligence to ship network to realize effective interception.
作者
徐湃
XU Pai(Shanghai Open University Jiading Branch,Shanghai 201800,China;Shanghai Vocational College of Science and Technology,Shanghai 210800,China)
出处
《舰船科学技术》
北大核心
2023年第3期153-156,共4页
Ship Science and Technology
基金
上海市高水平高职学校和专业群建设项目。
关键词
船舶网络
安全控制
人工智能
ship network
security control
artificial intelligence
