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

K. Kumari, Mrunalini Marlakunta
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Abstract

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.
物联网大数据安全、隐私和与智能电网相关的挑战
异构设备的高度互联网络使各种通信能够以有效的方式进行,被称为“物联网”。在目前的情况下,数据的规模和复杂性都在日益增加。这些都是工业领域需求巨大的大数据。各种IT部门正在采用物联网上的大数据来实现公司的发展并满足他们的需求。但是,组织在保护机密数据的同时面临着许多安全问题和挑战。物联网类型的系统需要安全性,而通信目前需要安全算法的配置级别,但这些算法更优先考虑应用程序的功能而不是安全性。随着对物联网设备需求的增加,智能电网已成为讨论的主要主题之一。这些要求与电力的产生和传输、被监测的电力消耗等有关。负责收集异构数据的系统是一个复杂的结构,它的一些主要子系统需要平滑的通信,包括日志服务器、智能电表、智能电器、根据需求选择的不同传感器、具有适当和高效基础设施的执行器。由于系统架构高度多样化,甚至异构物联网设备相互交互,因此需要收集、存储、操作和大量数据保留等安全措施。在本文中,讨论了与智能电网相关的物联网大数据的安全挑战和问题,以及物联网大数据环境中识别和认证的新安全增强。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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