A description of edge computing-based design in the domain of information technology for Internet of Things security.

Technology

Significant security issues have been brought about by the growth of Internet of Things (IOT) devices, such as heightened susceptibility to data breaches and cyberattacks. Edge computing is a viable way to improve IoT security by processing data closest to the source. Using edge computing's advantages to lower latency, enhance data privacy, and improve real-time detection of risks, this article outlines an edge computing-based approach for IoT security. Our system adds an extra layer of protection, speeds up anomaly detection, and minimizes the quantity of data sent to central servers or the cloud by performing data processing at the edge. The architecture, advantages, and possible uses of this concept are discussed, with an emphasis on how it may raise the effectiveness and security of IoT systems. Pervasive Internet of Things applications allow us to see, evaluate, manage, and improve conventional physical systems. Several security lapses in several IoT applications have suggested that IoT applications might endanger physical systems. Inadequate security architecture and severe resource limitations are two main reasons why many IoT apps have security issues. We have a new space to develop and implement innovative security solutions for Internet of Things applications thanks to the burgeoning edge computing, which is a subsidiary of the cloud and has abundant resources. IoT applications using edge-based security architectures are still in their infancy, despite some academic efforts in this field. The objective of this article is to provide an extensive overview of current edge-layer IoT security solutions and to stimulate further edge-based IoT security architectures. We begin by introducing an edge-centric Internet of Things architecture. After that, we thoroughly examine the research being done on edge-based IoT security in relation to intrusion detection systems, firewalls, security architectural designs, authorization and identification protocols, and privacy-preserving techniques. Lastly, we offer our perspective on outstanding research questions and potential study avenues.

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