A Quality of Service-Aware Secured Communication Scheme for Internet of Things-Based Networks

Khan, Fazlullah; Ur Rehman, Ateeq; Yahya, Abid; Jan, Mian Ahmad; Chuma, Joseph; Tan, Zhiyuan; Hussain, Khalid

Abstract

The Internet of Things (IoT) is an emerging technology that aims to enable the interconnection of a large number of smart devices and heterogeneous networks. Ad hoc networks play an important role in the designing of IoT-enabled platforms due to their efficient, flexible, low-cost and dynamic infrastructures. These networks utilize the available resources efficiently to maintain the Quality of Service (QoS) in a multi-hop communication. However, in a multi-hop communication, the relay nodes can be malicious, thus requiring a secured and reliable data transmission. In this paper, we propose a QoS-aware secured communication scheme for IoT-based networks (QoS-IoT). In QoS-IoT, a Sybil attack detection mechanism is used for the identification of Sybil nodes and their forged identities in multi-hop communication. After Sybil nodes detection, an optimal contention window (CW) is selected for QoS provisioning, that is, to achieve per-flow fairness and efficient utilization of the available bandwidth. In a multi-hop communication, the medium access control (MAC) layer protocols do not perform well in terms of fairness and throughput, especially when the nodes generate a large amount of data. It is because the MAC layer has no capability of providing QoS to prioritized or forwarding flows. We evaluate the performance of QoS-IoT in terms of Sybil attack detection, fairness, throughput and buffer utilization. The simulation results show that the proposed scheme outperforms the existing schemes and significantly enhances the performance of the network with a large volume of data. Moreover, the proposed scheme is resilient against Sybil attack.

Citation

Khan, F., Ur Rehman, A., Yahya, A., Jan, M. A., Chuma, J., Tan, Z., & Hussain, K. (2019). A Quality of Service-Aware Secured Communication Scheme for Internet of Things-Based Networks. Sensors, 19, Article 4321. https://doi.org/10.3390/s19194321

• Journal Article Type: Article
• Acceptance Date: Sep 12, 2019
• Online Publication Date: Oct 6, 2019
• Publication Date: Oct 10, 2019
• Deposit Date: Oct 19, 2019
• Publicly Available Date: Oct 21, 2019
• Electronic ISSN: 1837-4905
• Publisher: MDPI
• Peer Reviewed: Peer Reviewed
• Volume: 19
• Article Number: 4321
• DOI: https://doi.org/10.3390/s19194321
• Keywords: Internet of Things; security; sybil attack; Quality of Service; multi-hop flows; ad hoc networks
• Public URL: http://researchrepository.napier.ac.uk/Output/2237376