Top Research Papers on IoT Security

The main objective of this review paper will provide the reader with a detailed discussion from a technological and social perspective of the IoT and its potential application in the real world.

The architecture of IoT is discussed, following a comprehensive literature review on ML approaches the importance of security of IoT in terms of different types of possible attacks, and ML-based potential solutions for IoT security has been presented and future challenges are discussed.

A comprehensive survey of ML methods and recent advances in DL methods that can be used to develop enhanced security methods for IoT systems and presents the opportunities, advantages and shortcomings of each method.

The Internet of Things (IoT) integrates billions of smart devices that can communicate with one another with minimal human intervention. It is one of the fastest developing fields in the history of computing, with an estimated 50 billion devices by the end of 2020. On the one hand, IoT play a crucial role in enhancing several real-life smart applications that can improve life quality. On the other hand, the crosscutting nature of IoT systems and the multidisciplinary components involved in the deployment of such systems introduced new security challenges. Implementing security measures, such a...

A blockchain hyperledger sawtooth-enabled framework provides a secure and trusted execution environment, in which service delivery mechanisms and protocols are designed with an acknowledgment, including the immutable ledger storage security, along with the peer-to-peer network on-chain and off-chain communication of industrial activities.

The evolution of mobile technologies has introduced smarter and more connected objects into our day-to-day lives. This trend, known as the Internet of Things (IoT), has applications in smart homes, smart cities, industrial automation, health monitoring systems, and has become an essential component of the communication and networking industry. However, different communication and protocol standards, weak security defaults and the difficulty of distributing updates have exacerbated cybersecurity threats to critical applications that employ IoT. To mitigate the threats and counter these attacks,...

The existing literature on the application of IoT in in energy systems, in general, and in the context of smart grids particularly is reviewed, and challenges of deploying IoT in the energy sector are reviewed, including privacy and security.

This paper presents a comprehensive review of the existing messaging protocols that can be used in deploying IoT systems and highlights the protocols’ distinctive approaches and applicability of using them across various IoT environments.

Energy Harvesting technology is a promising environment-friendly solution that extends the lifetime of low-power wireless sensors, and, in some cases completely replaces the use of battery power.

An overview of the VSN concept in a vehicular IoT-based smart city paradigm is overview, focusing on the security aspects, and concludes that VSNs play a key role in developing efficient ITS.

Existing security research is combined to explore the possibility of deep learning (DL) in upgrading the IoT security architecture, how the IoT can identify and respond to cyber attacks, and how to encrypt edge data transmission are discussed.

An updated review of the IoT architecture in the protocols and standards that are proffered for the next-gen IoT systems is presented, revealing a need for protocols that are competent enough to be accorded for over one threat vector.

This survey identifies the general threat and attack vectors against IoT devices while highlighting the flaws and weak points that can lead to breaching the security.

A comprehensive discussion on the current state of the art of IoT, with particular focus on what have been done in the areas of privacy and security threats, attack surface, vulnerabilities and countermeasures and to propose a threat taxonomy is provided.

This review paper provides a comprehensive survey on the current biometrics research in IoT security, especially focusing on two important aspects, authentication and encryption.

This survey paper is primarily aimed to assist researchers by classifying attacks/vulnerabilities based on objects, and the method of attacks and relevant countermeasures are provided for each kind of attack in this work.

This research aims to provide an inclusive analysis of intrusion detection based on deep learning techniques followed by different intrusion detection systems and existing challenges and possible solutions for networks security and privacy have been discussed.

How Industry 4.0 helps create a smart factory is discussed, and significant IoT applications to adopt Industry 5.0 successfully are identified and presented in tabular form.

This paper proposes a research model with five constructs, i.e., IoT awareness, users’ IoT privacy knowledge, users’ IoT security knowledge, users’ IoT Trust, and continued intention to use IoT to bring clarity to the growing yet fragmented literature on the path from IoT awareness to the continued use of IoT. Hypotheses stemming from the proposed model were stated. A total of 297 subjects from various organizations in 9 regions of the USA participated in the study. Collected data were analyzed through path modeling, using SmartPLS 3.0. The results indicated that IoT awareness can positively i...

Experimental result demonstrate that proposed hybrid model is more sensitive to attacks in the IoT network than conventional machine learning and deep learning model.