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.

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...

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.

A systematic literature review is conducted, international standard organizations that have been developing standards for IoT are studied, and any remaining challenges related to interoperability and security for IoT standards are discussed.

It is argued that by adhering to the proposed requirements, an IoT system can be designed securely by achieving much of the promised benefits of scalability, usability, connectivity, and flexibility in a practical and comprehensive manner.

This article provides a comprehensive survey of research efforts to secure the industrial Internet of Things, discusses their applicability, and analyzes their security benefits.

The purpose of this paper is to identify and discuss the main issues involved in the complex process of IoT-based investigations, particularly all legal, privacy and cloud security challenges, as well as some promising cross-cutting data reduction and forensics intelligence techniques.

This paper provides an extensive and complete survey on the process of detecting and preventing various types of IoT-based security attacks and identified five main categories of defense mechanisms: distributed denial of service detection/prevention, default password protection, encryption mechanisms, intrusion detection/Prevention, and anomaly detection.

This review analyzes security and privacy features consisting of data protection, network architecture, Quality of Services (QoS), app development, and continuous monitoring of healthcare that are facing difficulties in many IoT-based healthcare architectures.

Although Cellular IoT has many advantages and can bring enormous applications to IoT wearables, it has been rarely studied by the researchers and the opportunities and challenges related to implementing CIoT-enabled wearables are addressed.

An overview of recent advances in various fronts of IoVT will be introduced and a broad range of technological and system challenges will be addressed.

This research provides an overview of predictive analysis, Internet of Things (IoT) devices with cloud management, security units for multi-culture in the agriculture sector with considering farmer's prior experiences and highlights the challenges and complications expected while integrating modern technology in the traditional farming practice experience.

The author represents a framework to deal with reliability issues to enable the adoption of IoT devices and finds the improvement in reliability.

In this critical review, cutting-edge IoT technologies that could be adopted to microalgae biorefinery in the upstream and downstream processing are described comprehensively and could contribute greatly to the novelty and relevance in the field of IoT-based microalgal bioreFinery.

Using a combination of interviews, surveys and site visits to gather information, this research presents a review of the current state of the IoT for on-farm measurement, cases of successful IoT implementation in low- and middle-income countries, challenges associated with implementing the IoT on smallholder farms, and recommendations for practitioners.

A comprehensive survey on the literature involving IoT technologies applied to smart logistics from the perspectives of logistics transportation, warehousing, loading/unloading, carrying, distribution processing, distribution, and information processing is provided.

Abstract Aquaculture based on the Internet of Things (IoT) is a growing field of interest in the fishing industry. The IoT technology is advancing the agriculture 4.0 era, and yet, Aquaculture 4.0 is a lagging field in many countries. This article presents results obtained so far from ongoing research of published work highlighting water quality monitoring in fishponds. This analysis was performed extensively from May to December 2020 by meticulously selecting a total of 30 internationally published research papers. This review is divided into five categories: (1) recent research (2011–2020), ...

Effective connectivity, sustained deployment of real-time sensing systems, and energy harvesting are some of the vital recommendations included and addressed in this study for aiding the proper implementation of digital networks in the forest ecosystem.

Internet of Things (IoT) is suffered from different types of attacks due to vulnerability present in devices. Due to many IoT network traffic features, the machine learning models take time to detect attacks. This paper proposes a feature selection for intrusion detection systems (IDSs) using Information Gain (IG) and Gain Ratio (GR) with the ranked top 50% features for the detection of DoS and DDoS attacks. The proposed system obtains feature subsets using insertion and union operations on subsets obtained by the ranked top 50% IG and GR features. The proposed method is evaluated and validate...

Recent improvements in the Internet of Things (IoT) have allowed healthcare to evolve rapidly. This article summarizes previous studies on IoT applications in healthcare. A comprehensive review and a bibliometric analysis were performed to objectively summarize the growth of IoT research in healthcare. To begin, 2,990 journal articles were carefully selected for further investigation. These publications were analyzed based on various bibliometric metrics, including publication year, journals, authors, institutions, and countries. Keyword co-occurrence and co-citation networks were generated to...

The tools and equipment used in applications of wireless sensors in IoT agriculture, and the anticipated challenges faced when merging technology with conventional farming activities are investigated.