TY -的A2 Bhattacharya丝薇AU - Aqeel,默罕默德盟-阿里,法赫德AU -伊克巴尔,默罕默德瓦萨姆盟——Rana Toqir A . AU - Arif默罕默德盟——Auwul。Rabiul PY - 2022 DA - 2022/09/29 TI -综述物联网的安全与隐私问题(物联网)SP - 5724168六世- 2022 AB -最近的二十年里见证了巨大的增长在物联网(物联网)应用程序。全球有超过500亿的设备连接。物联网应用程序的连接与互联网持续受害者用不同范围的传统威胁,包括病毒、蠕虫、恶意软件、间谍软件、木马、恶意代码注入,和后门攻击。传统的威胁提供基本服务,如身份验证、授权和责任。身份验证和授权验证过程的一个主题是绑定到一个对象中。传统的身份验证和授权机制使用三种不同的因素身份验证如果主体有权利能力访问对象。进一步,它定义一个计算机病毒是一种恶意软件。恶意软件包括计算机病毒、蠕虫、木马、间谍软件、ransomware。有一个高概率,物联网系统可以感染更复杂的形式的恶意软件和高频电磁波。目的导向的开发与自然截然不同的物联网设备受限的环境中工作。 So there is a dire need to address these security issues because relying on existing traditional techniques is not good. Manufacturers and researchers must think about resolving these security and privacy issues. Most importantly, this study identifies the knowledge and research gap in this area. The primary objective of this systematic literature review is to discuss the divergent types of threats that target IoT systems. Most importantly, the goal is to understand the mode of action of these threats and develop the recovery mechanism to cover the damage. In this study, more than 170 research articles are systematically studied to understand security and privacy issues. Further, security threats and attacks are categorized on a single platform and provide an analysis to explain how and to what extent they damage the targeted IoT systems. This review paper encapsulates IoT security threats and categorizes and analyses them by implementing a comparative study. Moreover, the research work concludes to expand advanced technologies, e.g., blockchain, machine learning, and artificial intelligence, to guarantee security, privacy, and IoT systems. SN - 1687-725X UR - https://doi.org/10.1155/2022/5724168 DO - 10.1155/2022/5724168 JF - Journal of Sensors PB - Hindawi KW - ER -