基于智能系统的智慧城市关键基础设施安全新趋势

IF 1.5 Q2 COMPUTER SCIENCE, THEORY & METHODS
A. El-latif, L. Tawalbeh
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引用次数: 0

摘要

关键基础设施的安全运行对一个国家的安全、经济以及公众的健康和安全至关重要。关键基础设施的安全事件可能直接导致用户安全和隐私受到侵犯,造成物理损害,对个人和公司造成重大经济影响,并威胁到人类生命,同时降低对机构的信任,并使其社会价值受到质疑。由于数字世界和物理世界之间的相互联系日益紧密,这些基础设施和服务比以往任何时候都更加关键、复杂和相互联系。这使得它们越来越容易受到攻击,网络安全事件的稳步上升证实了这一点。这些攻击对计算机化系统几乎总是具有侵入性和破坏性,如果攻击发生在智能医疗设备领域,则可能是致命的。因此,有必要研究有效的基于安全的解决方案,以消除这些风险或对抗攻击。近年来,这已经成功地完成了使用智能技术,包括人工智能,机器学习和深度学习
本文章由计算机程序翻译,如有差异,请以英文原文为准。
New trends of intelligent systems-based secure critical infrastructure in smart city
The secure operation of critical infrastructures is 8 essential to the security of a nation, its economy, and 9 the public’s health and safety. Security incidents in 10 critical infrastructures can directly lead to a viola11 tion of users’ safety and privacy, physical damages, 12 significant economic impacts for individuals and 13 companies, and threats to human life, while decreas14 ing trust in institutions and bringing their social value 15 into question. Because of the increasing interconnec16 tion between the digital and physical worlds, these 17 infrastructures and services are more critical, sophis18 ticated, and interconnected than ever before. This 19 makes them increasingly vulnerable to attacks, as 20 confirmed by the steady rise of cybersecurity inci21 dents. The consequences of these attacks are almost 22 always invasive and disruptive for the computerized 23 systems and can be fatal if the attacks are performed 24 in the domain of smart health devices. The need 25 therefore arises to research effective security-based 26 solutions for nullifying these risks or countering the 27 attacks. In recent years, this has been suc essfully 28 accomplished using intelligent technologies, includ29 ing artificial intelligence, machine learni g and deep
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来源期刊
CiteScore
2.80
自引率
23.10%
发文量
31
期刊介绍: The International Journal of Fuzzy Logic and Intelligent Systems (pISSN 1598-2645, eISSN 2093-744X) is published quarterly by the Korean Institute of Intelligent Systems. The official title of the journal is International Journal of Fuzzy Logic and Intelligent Systems and the abbreviated title is Int. J. Fuzzy Log. Intell. Syst. Some, or all, of the articles in the journal are indexed in SCOPUS, Korea Citation Index (KCI), DOI/CrossrRef, DBLP, and Google Scholar. The journal was launched in 2001 and dedicated to the dissemination of well-defined theoretical and empirical studies results that have a potential impact on the realization of intelligent systems based on fuzzy logic and intelligent systems theory. Specific topics include, but are not limited to: a) computational intelligence techniques including fuzzy logic systems, neural networks and evolutionary computation; b) intelligent control, instrumentation and robotics; c) adaptive signal and multimedia processing; d) intelligent information processing including pattern recognition and information processing; e) machine learning and smart systems including data mining and intelligent service practices; f) fuzzy theory and its applications.
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