Current research on Internet of Things (IoT) security: A survey

Noor, Mardiana binti Mohamad; Hassan, Wan Haslina

doi:10.1016/j.comnet.2018.11.025

Cited by 704 publications

(171 citation statements)

References 73 publications

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“…In an IoT system, attacks may target a wide range of vulnerabilities [ 118 , 119 , 120 , 121 , 122 ]. These extend from the devices themselves, through the communication between them to the services and applications provided.…”

Section: Threats and Attacksmentioning

confidence: 99%

Security Requirements for the Internet of Things: A Systematic Approach

Pal

Hitchens

Rabehaja

et al. 2020

Sensors

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There has been a tremendous growth in the number of smart devices and their applications (e.g., smart sensors, wearable devices, smart phones, smart cars, etc.) in use in our everyday lives. This is accompanied by a new form of interconnection between the physical and digital worlds, commonly known as the Internet of Things (IoT). This is a paradigm shift, where anything and everything can be interconnected via a communication medium. In such systems, security is a prime concern and protecting the resources (e.g., applications and services) from unauthorized access needs appropriately designed security and privacy solutions. Building secure systems for the IoT can only be achieved through a thorough understanding of the particular needs of such systems. The state of the art is lacking a systematic analysis of the security requirements for the IoT. Motivated by this, in this paper, we present a systematic approach to understand the security requirements for the IoT, which will help designing secure IoT systems for the future. In developing these requirements, we provide different scenarios and outline potential threats and attacks within the IoT. Based on the characteristics of the IoT, we group the possible threats and attacks into five areas, namely communications, device/services, users, mobility and integration of resources. We then examine the existing security requirements for IoT presented in the literature and detail our approach for security requirements for the IoT. We argue 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.

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Section: Threats and Attacksmentioning

confidence: 99%

Security Requirements for the Internet of Things: A Systematic Approach

Pal

Hitchens

Rabehaja

et al. 2020

Sensors

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“…A comprehensive survey of the main security issues and challenges for the IoT‐based smart grid are also discussed, which brings out, how sensitive and mission critical infrastructure in an IoT environment such as smart grids can be secured. Mohamad Noor and Hassan (2019) reviews various security challenges in an IoT environment and analysed number of articles published the recent literature during 2017 and 2018.…”

Section: Literature Surveymentioning

confidence: 99%

A machine learning approach for imputation and anomaly detection in IoT environment

Radhakrishna

Kumar

Puligadda³

et al. 2020

Expert Systems

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The problem of anomaly and attack detection in IoT environment is one of the prime challenges in the domain of internet of things that requires an immediate concern. For example, anomalies and attacks in IoT environment such as scan, malicious operation, denial of service, spying, data type probing, wrong setup, malicious control can lead to failure of an IoT system. Datasets generated in an IoT environment usually have missing values. The presence of missing values makes the classifier unsuitable for classification task. This article introduces (a) a novel imputation technique for imputation of missing data values (b) a classifier which is based on feature transformation to perform classification (c) imputation measure for similarity computation between any two instances that can also be used as similarity measure. The performance of proposed classifier is studied by using imputed datasets obtained through applying Kmeans, F-Kmeans and proposed imputation methods. Experiments are also conducted by applying existing and proposed classifiers on the imputed dataset obtained using proposed imputation technique. For experimental study in this article, we have used an open source dataset named distributed smart space orchestration system publicly available from Kaggle. Experiment results obtained are also validated using Wilcoxon non-parametric statistical test. It is proved that the performance of proposed approach is better when compared to existing classifiers when the imputation process is performed using F-Kmeans and K-Means imputation techniques. It is also observed that accuracies for attack classes scan, malicious operation, denial of service, spying, data type probing, wrong setup are 100% while it is 99% for malicious control attack class when the proposed imputation and classification technique are applied.

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“…Recently, academic research targeting the privacy and security for IoT environments has gained more momentum. The survey papers [23], [24], [25], [26], and [27] evaluate the possible threats to IoT systems according to the layers and the available countermeasures. The present paper focus on IoT security with a more methodical and formal tools beginning with the proposition of a standard IoT architecture suitable for security needs, then by conducting a security audit covering the whole environment and finally by the reputed EBIOS risk analysis.…”

Section: Internet Of Things Securitymentioning

confidence: 99%

Towards Understanding Internet of Things Security and its Empirical Vulnerabilities: A Survey

Bouanani¹,

Achbarou²,

Ahmed³

et al. 2019

IJACSA

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The Internet of things is no longer a concept; it is a reality already changing our lives. It aims to interconnect almost all daily used devices to help them exchange contextualized data in order to offer services adequately. Based on the existing Internet, IoT suffers indisputably from security issues that could threaten its evolution and its users' interests. Starting from this fact, we try to define the main security threats for the IoT perimeter and propose some pertinent solutions. To do so, we first establish a state of the art concerning the IoT definition, protocols, environment, architecture and security. Then, we expose a case study of a standard IoT platform to illustrate the impact of security on all IoT layers. Furthermore, the paper presents the results of a security audit on our implemented platform. Finally, based on our evaluation, we highlight many solutions as well as possible directions for future research.

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Current research on Internet of Things (IoT) security: A survey

Cited by 704 publications

References 73 publications

Security Requirements for the Internet of Things: A Systematic Approach

Security Requirements for the Internet of Things: A Systematic Approach

A machine learning approach for imputation and anomaly detection in IoT environment

Towards Understanding Internet of Things Security and its Empirical Vulnerabilities: A Survey

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