A Comprehensive Survey on Attacks, Security Issues and Blockchain Solutions for IoT and IIoT

Machine learning based solutions for security of Internet of Things (IoT): A survey

Internet of Vehicles (IoV) is an emerging concept that is believed to help realize the vision of intelligent transportation systems (ITSs). IoV has become an important research area of impactful applications in recent years due to the rapid advancements in vehicular technologies, high throughput satellite communication, the Internet of Things, and cyber–physical systems. IoV enables the integration of smart vehicles with the Internet and system components attributing to their environments, such as public infrastructures, sensors, computing nodes, pedestrians, and other vehicles. By allowing the development of a common information exchange platform between vehicles and heterogeneous vehicular networks, this integration aims to create a better environment and public space for the people as well as to enhance safety for all road users. Being a participatory data exchange and storage, the underlying information exchange platform of IoV needs to be secure, transparent, and immutable in order to achieve the intended objectives of ITS. In this connection, the adoption of blockchain as a system platform for supporting the information exchange needs of IoV has been explored. Due to their decentralized and immutable nature, IoV applications enabled by blockchain are believed to have a number of desirable properties, such as decentralization, security, transparency, immutability, and automation. In this article, we present a contemporary survey on the latest advancement in blockchain for IoV. Particularly, we highlight the different application scenarios of IoV after carefully reviewing the recent literature. We also investigate several key challenges where blockchain is applied in IoV. Furthermore, we present the future opportunities and explore further research directions of IoV as a key enabler of ITS.

Blockchain for the Internet of Vehicles Towards Intelligent Transportation Systems: A Survey

https://researchrepository.ucd.ie/bitstream/10197/12102/2/Survey_on_Smart_Contracts____JNCA__2nd_Revision_CleanDocument%20%282%29.pdf

Survey on blockchain based smart contracts: Applications, opportunities and challenges

Blockchain for smart cities: A review of architectures, integration trends and future research directions

Enhancement of wireless sensor network lifetime by deploying heterogeneous nodes

A pre-determined node deployment strategy to prolong network lifetime in wireless sensor network

Wireless Sensor Networks (WSN), consisting of a large number of sensor nodes connected through wireless medium has emerged as a ground-breaking technology that offers the unprecedented ability to monitor the physical world accurately. Because of resource-constrained nature of sensor nodes, a number of issues have emerged out of which energy-efficiency is an important matter of concern. In this work, we propose an energy-efficient routing scheme called Enhanced Energy-Efficient Protocol with Static Clustering (E3PSC) which is basically a modification of an existing routing scheme, Energy-Efficient Protocol with Static Clustering (EEPSC). Similar to EEPSC, the present work partitions the network into distance-based static clusters. However, unlike EEPSC, cluster-head selection is performed by taking into account both the spatial distribution of sensors nodes in network and their residual energy with an objective to reduce the intra-cluster communication overhead among the nodes making the scheme more energy-efficient. Both qualitative and quantitative analysis is performed to establish our claim of energy efficiency of the proposed scheme. A set of experiments is carried out to evaluate the performance of the scheme and to compare the results with EEPSC. Based on our experimental results, it has been found that E3PSC outperforms EEPSC in terms of network lifetime and energy consumption.

An Enhanced Energy-Efficient Protocol with Static Clustering for WSN

The advent of Industrial Internet of Things (IIoT) along with cloud computing has brought a huge paradigm shift in manufacturing industries resulting in yet another industrial revolution, Industry 4.0. Huge amounts of delay-sensitive data of diverse nature are being generated, which need to be locally processed and secured because of their sensitivity. However, the low-end Internet of Things devices are unable to handle huge computational overheads. In addition, the semi-trusted nature of cloud introduces several security concerns. To address these issues, this article proposes a secure fog-based IIoT architecture by suitably plugging a number of security features into it and by offloading some of the tasks judiciously to fog nodes. These features secure the system alongside reducing the trust and burden on the cloud and resource-constrained devices, respectively. We validate our proposed architecture through both theoretical overhead analysis and practical experimentation, including simulation study and testbed implementation.

Sipra Das Bit

Papers

A Comprehensive Survey on Attacks, Security Issues and Blockchain Solutions for IoT and IIoT

Enhancement of wireless sensor network lifetime by deploying heterogeneous nodes

A pre-determined node deployment strategy to prolong network lifetime in wireless sensor network

An Enhanced Energy-Efficient Protocol with Static Clustering for WSN

A Secure Fog-Based Architecture for Industrial Internet of Things and Industry 4.0