A Survey on Secure Transmission in Internet of Things: Taxonomy, Recent Techniques, Research Requirements, and Challenges

Abstract

Internet of things (IoT) is one of the emerging paradigms in the current era that has attracted many researchers due to its widespread applications. Due to the open nature of the device accessibility and heterogeneity, a rapid increase in connected devices leads to several vulnerabilities and threats in the IoT devices. Hence, security is one of the important concern and main challenge to be addressed for the guaranteed data transmission in IoT environment. In this review work, we analyze the secure transmission of data in IoT and investigate the recent approaches in IoT security and their requirements and open issues. We present a taxonomy model for the secure transmission in IoT security which includes architecture/layers, communication topology, and classification techniques which are categorized under cluster, trust, routing, blockchain, and location-based approaches. First, we briefly discuss the architecture of the IoT ecosystem that consists of three layers namely perception, network, and application layer which support the basic task such as transmission, sensing, and processing. Next, we classify the communication mechanism into different scenarios involved in the various network for the transmission of data in the IoT environment. Then, we investigate the recent approaches for secure communication to overcome certain attacks in IoT and analyze their strength and limitations. Finally, we discuss the security requirements, threats, and vulnerabilities faced by the current IoT system, and numerous open research challenges that are needed to be addressed for the efficient transmission of data as future research directions.