The Effect of IoT New Features on Security and Privacy: New Threats, Existing Solutions, and Challenges Yet to Be Solved

By Wei Zhou, Yan Jia, Anni Peng, Yuqing Zhang, Peng Liu. IEEE Internet of Things Journal, 2018

440 citations recorded by the source corpus.

Internet of Things (IoT) is an increasingly popular technology that enables physical devices, vehicles, home appliances, etc., to communicate and even inter operate with one another. It has been widely used in industrial production and social applications including smart home, healthcare, and industrial automation. While bringing unprecedented convenience, accessibility, and efficiency, IoT has caused acute security and privacy threats in recent years. There are increasing research works to ease these threats, but many problems remain open. To better understand the essential reasons of new IoT threats and the challenges in current research, this survey first proposes the concept of “IoT features.” Then, we discuss the security and privacy effects of eight IoT features including the threats they cause, existing solutions to threats and research challenges yet to be solved. To help researchers follow the up-to-date works in this field, this paper finally illustrates the developing trend of IoT security research and reveals how IoT features affect existing security research by investigating most existing research works related to IoT security from 2013 to 2017.

Subfields: Computer Networks and Communications, Information Systems, Signal Processing

View Paper: https://www.semanticscholar.org/paper/61634937e4ee51d01c33263f1226cce6296081db

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Citations in the corpus

A Survey of Machine and Deep Learning Methods for Internet of Things (IoT) Security (2018, background): “In this environment, the targeted IoT device may be unreachable by an attacker, but the attacker could modify the operation mode of another device or its sensing parameter through the environment that has direct interdependence to launch a threat [116].”
IoT: Internet of Threats? A Survey of Practical Security Vulnerabilities in Real IoT Devices (2019, background): “The problems related to cybersecurity in IoT systems have already been addressed by other works in the literature as, e.g., [6], [10]– [15].”
A Review of Intrusion Detection Systems Using Machine and Deep Learning in Internet of Things: Challenges, Solutions and Future Directions (2020, background): “For instance, [67] described such a scenario where sensing increased temperature by a temperature sensor, coupled with sensing of unplugging of a smart plug, the windows of the room are automatically opened.”
Machine Learning Based Solutions for Security of Internet of Things (IoT): A Survey (2020, background): “Other new surface attacks are initiated by IoT systems because of a smart technology that is attacked by interdependent, interconnected and social IoT systems [80], [81].”
Internet of Things (IoT) Security Intelligence: A Comprehensive Overview, Machine Learning Solutions and Research Directions (2022, background): “In [154], the impact of IoT new features on protection and privacy considering new threats, existing solutions and challenges was addressed.”