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

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.

A Comprehensive Survey on Machine Learning-Based Big Data Analytics for IoT-Enabled Smart Healthcare System

“…IoT-based system are low on memory and are therefore unable to store such data. To overcome this limitation, numerous cloud-based platforms are available for the storage of data such as ThingWorx [ 41 ], OpenIoT [ 26 , 42 ], Google Cloud [ 43 ], Amazon [ 44 ], Nimbits [ 45 ], GENI [ 46 , 47 ]. These platforms improve the management and storage of data.…”

RSSI-Controlled Long-Range Communication in Secured IoT-Enabled Unmanned Aerial Vehicles

“…In the decentralized web of networks, cognitive radio gives optimal results that employ the hidden Markov model to dedicate direct short range communication channels for transmission [14,15]. Maintain the quality of service in multihop communication to detect Sybil attack; whereas for this purpose, QoS-aware secure communication technique can be easily deployed using Internet of thingsbased networks, which can be performed on large scale data [16].…”

A Secured Framework for SDN-Based Edge Computing in IoT-Enabled Healthcare System

“…The IoT is a new paradigm in communication, which is the interconnection of existing devices with additional intelligence. These devices process the sensed data and communicate with other devices through the internet [11], [12]. Initially, the IoT devices were operated in the unlicensed band using Bluetooth and ZigBee technologies.…”

“…Edge computing is supportive technology for IoT applications, that has numerous advantages. For example, energy-efficient communication among IoT nodes, IoT applications in vehicular networks [23], sensor and actuator networks [12], [24]. Furthermore, it is best used in applications like healthcare [15], [25], which requires context-aware processing to delay-sensitive data.…”