基于人工智能的智慧城市自适应网络

Bhagvan Kommadi
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引用次数: 0

摘要

自我意识、自我防御的自适应网络是一种在智慧城市部署中保护自己免受安全漏洞的网络。一个自适应系统,可以了解并识别智能城市网络中入侵所面临的威胁程度。为了检测和分离安全威胁,人工智能程序使用一种新的机器学习方法来跟踪网络的任何方面。威胁包括勒索软件、劫持代码、入侵和非法进入、盗窃和未经授权的使用。自治系统由一组动态引入和移除的自治模块组成。为了实现机器目标,这样一个集成中的节点将相互协作。自适应网络根据其运行环境的变化,调整自己的行为。我们指的是网络可以通过操作环境观察到的任何东西,如用户交互、网络设备和传感器、或仪器仪表。关键词:自适应网络;人工智能定义的基础设施;
本文章由计算机程序翻译,如有差异,请以英文原文为准。
AI based Adaptive Network for Smart Cities
Self-aware, Self-Defending Adaptive Network is a network that defends itself from security breaches in the deployment of smart cities. An adaptive system that knows and recognizes the level of threat faced by an intrusion across a network of smart cities. To detect and separate security threats, the AI program uses a new method of machine learning to track any aspect of a network. Threats include ransomware, high-jacking code, intrusion and illegal entry, theft, and unauthorized use. An autonomous system comprises of a collection of autonomous modules that are introduced and removed dynamically. To order to achieve machine objectives, nodes inside such an ensemble will cooperate. In response to changes in its operating environment, the self-adaptive network modifies its own behavior. We mean anything that the network can observe, such as user interaction, network devices and sensors, or instrumentation, by operating environment. Keywords—adaptive network, AI defined infrastructure,
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