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 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,...

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. IoT is one of the fastest developing fields in the history of computing, with an estimated 50 billion devices by the end of 2020. However, the crosscutting nature of IoT systems and the multidisciplinary components involved in the deployment of such systems have introduced new security challenges. Implementing security measures, such as encryption, authentication, access control, network and application security for IoT devices and their inherent vulnerabilit...

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 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 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.

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.

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.

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.

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.

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.

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.

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

The comprehensive look-over presented in this paper provides an in-depth analysis and assessment of diverse machine learning and deep learning-based network intrusion detection system (NIDS) and a case study of healthcare in IoT is presented.

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

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...

Agriculture must overcome escalating problems in order to feed a growing population while preserving the environment and natural resources. Recently, it has become clear that sensors and the Internet of Things (IoT) are effective tools for boosting agricultural sustainability and food security. This study provides insights into the global market size for smart agriculture in future years from 2021 to 2030, In addition, this research offered four levels of the IoT architecture for smart agriculture: the perception or sensing and actuator layer, the network layer, the cloud layer, and the applic...