Security in Internet of Things (IoT): Challenges and Models

Q4 Mathematics
Navdeep Lata, Dr. Raman Kumar
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引用次数: 0

Abstract

The Internet of Things (IoT) has grabbed the attention of the scientific community in recent years. IoT is a recently formed technology that will be the future of the web, allowing distinct everyday objects to communicate with each other without any human interaction. It is one of the most hotly debated fields in both academia and industry for current and future study areas. IoT security and privacy issues have proven to be critical objectives. This paper includes IoT models, schemes, and implementation issues related to different IoT technologies and devices. It focuses on security challenges of IoT communications such as privacy, authentication, integrity of data, and service availability, mostly in hardware aspects. Attacks and modern vulnerabilities, as well as countermeasures, are taken into account. Various IoT security models are described along with security challenges.
物联网安全:挑战与模型
物联网(IoT)近年来引起了科学界的关注。物联网是最近形成的一项技术,它将成为网络的未来,允许不同的日常物体在没有任何人类互动的情况下相互通信。对于当前和未来的研究领域,它是学术界和工业界争论最激烈的领域之一。物联网安全和隐私问题已被证明是关键目标。本文包括与不同物联网技术和设备相关的物联网模型、方案和实现问题。它主要关注物联网通信的安全挑战,如隐私、身份验证、数据完整性和服务可用性,主要是硬件方面的挑战。考虑到了攻击和现代脆弱性以及应对措施。描述了各种物联网安全模型以及安全挑战。
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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来源期刊
Philippine Statistician
Philippine Statistician Mathematics-Statistics and Probability
CiteScore
0.50
自引率
0.00%
发文量
92
期刊介绍: The Journal aims to provide a media for the dissemination of research by statisticians and researchers using statistical method in resolving their research problems. While a broad spectrum of topics will be entertained, those with original contribution to the statistical science or those that illustrates novel applications of statistics in solving real-life problems will be prioritized. The scope includes, but is not limited to the following topics:  Official Statistics  Computational Statistics  Simulation Studies  Mathematical Statistics  Survey Sampling  Statistics Education  Time Series Analysis  Biostatistics  Nonparametric Methods  Experimental Designs and Analysis  Econometric Theory and Applications  Other Applications
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