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Security Control Technology and Simulation of Network News Communication under the Environment of Internet of Things

机译:安全控制技术与网络环境下网络新闻通信的仿真

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Internet of Things is an application of network news communication technology. Based on the Internet, it uses physical access technologies such as radio frequency tag and wireless sensor network news communication and network news communication information transmission technology to build a network news communication information system that can cover people and things. In the physical layer, the relative position of the object is calculated by using multipoint cooperative localization, so as to determine the minimum anonymous region. Generate and maintain the anonymous tree topology on the network news dissemination layer, and provide storage management support for multiple anonymous groups. In the application layer, the object determines the corresponding anonymity degree according to the identity and uses the frame structure to construct and return the new anonymous group consistent with the existing anonymous group, which can prevent the persistent multiprecision query attack. A real-time control method for intrusion response of a security control system is designed, which includes two stages: response task generation and integrated scheduling. An intrusion response task set generation method based on an improved nondominated sorting genetic algorithm is presented, and a distributed integrated task scheduling and optimization algorithm based on a genetic algorithm and a directed acyclic graph is designed. The numerical simulation results show that this method can quickly and smoothly implement the response strategy of information security intrusion without affecting the normal execution of system tasks.
机译:事情互联网是网络新闻通信技术的应用。基于互联网,它使用诸如射频标签和无线传感器网络新闻通信和网络新闻通信信息传输技术等物理访问技术来构建网络新闻通信信息系统,可以涵盖人和事物。在物理层中,通过使用多点协作本地化来计算对象的相对位置,以确定最小匿名区域。在网络新闻传播层上生成并维护匿名树拓扑,并为多个匿名组提供存储管理支持。在应用程序层中,对象根据身份确定相应的匿名程度,并使用帧结构构造并返回与现有匿名组一致的新匿名组,可以防止持久的多重查询攻击。设计了用于安全控制系统的入侵响应的实时控制方法,包括两个阶段:响应任务生成和集成调度。提出了一种基于改进的非目标分类遗传算法的入侵响应任务集生成方法,并设计了一种基于遗传算法的分布式集成任务调度和优化算法和定向的非循环图。数值模拟结果表明,该方法可以快速和平滑地实现信息安全侵入的响应策略,而不会影响系统任务的正常执行。

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