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loT Big Data Security, Privacy and Challenges Related to Smart Grid

机译:与智能电网相关的大数据安全,隐私和挑战

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The highly interconnected network of heterogeneous devices which enables all kinds of communications to take place in an efficient manner is referred to as "IOT." In the current situation, the data are increasing day by day in size as well as in terms of complexities. These are the big data which are in huge demand in the industrial sectors. Various IT sectors are adopting big data present on IOT for the growth of their companies and fulfilling their requirements. But organizations are facing a lot of security issues and challenges while protecting their confidential data. IOT type systems require security while communications which is required currently by configuration levels of security algorithms, but these algorithms give more priority to functionalities of the applications over security. Smart grids have become one of the major subjects of discussions when the demands for IOT devices increases. The requirements arise related to the generation and transmission of electricity, consumption of electricity being monitored, etc. The system which is responsible to collect heterogeneous data are a complicated structure and some of its major subsystems which they require for smooth communications include log servers, smart meters, appliances which are intelligent, different sensors chosen based on their requirements, actuators with proper and efficient infrastructure. Security measures like collection, storage, manipulations and a massive amount of data retention are required as the system is highly diverse in its architecture and even the heterogeneous IOT devices are interacting with each other. In this article, security challenges and concerns of IOT big data associated with smart grid are discussed along with the new security enhancements for identification and authentications of things in IOT big data environments.
机译:异构设备的高度互连的网络,使所有类型的通信都可以有效地进行,被称为“ IOT”。在当前情况下,数据的规模和复杂性都在逐日增加。这些是工业部门中巨大需求的大数据。各个IT部门都采用IOT上的大数据来促进公司的发展并满足其要求。但是组织在保护其机密数据的同时面临许多安全问题和挑战。物联网类型系统需要安全性,而通信是安全算法的配置级别当前需要的,但是这些算法比安全性更优先考虑应用程序的功能。当对物联网设备的需求增加时,智能电网已成为讨论的主要主题之一。产生的要求与电力的产生和传输,受监控的电力消耗等有关。负责收集异构数据的系统结构复杂,并且其平滑通信所需的一些主要子系统包括日志服务器,智能服务器。电表,智能设备,根据需求选择不同的传感器,具有适当高效基础设施的执行器。由于系统的体系结构高度多样化,甚至异构的IOT设备都在相互交互,因此需要诸如收集,存储,操作和大量数据保留之类的安全措施。在本文中,将讨论与智能电网相关联的物联网大数据的安全性挑战和担忧,以及用于物联网大数据环境中事物识别和身份验证的新安全性增强功能。

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