Revisiting IoT Device Identification

Kolcun, Roman; Popescu, Diana Andreea; Safronov, Vadim; Yadav, Poonam; Mandalari, Anna Maria; Mortier, Richard; Haddadi, Hamed

doi:10.48550/arxiv.2107.07818

Cited by 4 publications

(7 citation statements)

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“…In [18], the study acknowledges the security challenges posed by IoT devices and emphasizes the need for automated management to mitigate these issues. Specifically, the focus is on robustly identifying IoT devices to facilitate the application of appropriate network security policies.…”

Section: Literature Reviewmentioning

confidence: 99%

Enhancing IoT Network Security Through Digital Object Architecture-Based Approaches

Al-Bahri,

Alkishri,

Y. H. Ahmed

et al. 2024

QAJ

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The Internet of Things (IoT) encompasses a network of different devices, both stationary and mobile, that may interact with the physical world. Ensuring the security of the Internet of Things (IoT) is of utmost importance in a world where devices are interconnected at various levels, including wearables, home automation, smart cities, industrial sectors, and more. Ensuring the security of this interconnected network of "things" and devices is imperative, leaving no space for mistakes or inadequacies. The purpose of this article is to present an approach that utilizes Digital Object Architecture (DOA) to identify Internet of Things (IoT) devices and applications within communication networks. This study investigates various methodologies for incorporating the DOA identifier into Internet of Things (IoT) devices that are equipped with a range of wireless data transmission modules. Furthermore, this study presents a security model that aims to strengthen the resolution system based on data transmission security. The objective is to reduce the number of service messages exchanged between internetwork parts and decrease network latency. The essay finishes by examining some strategies for modernizing DOA in order to improve the quality of service.

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Section: Literature Reviewmentioning

confidence: 99%

Enhancing IoT Network Security Through Digital Object Architecture-Based Approaches

Al-Bahri,

Alkishri,

Y. H. Ahmed

et al. 2024

QAJ

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“…• Serial Number: A unique address to reveal information about an IoT device and the device manufacturer for identification [27].…”

Section: Iot Devices Securable Parameters For This Workmentioning

confidence: 99%

Securing the Perceptual Layer of the Internet of Things (Iot) Devices Using Elliptic Curve Cryptography

Okediran

Vincent

Abayomi‐Alli

et al. 2023

Preprint

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The security of IOT layers has become very important considering the various attacks faced by IOT devices especially, the perceptual layer. Reported attacks in recent times include direct Denial of Service (DDoS), Botnet attack and Falsification attacks. Several security techniques in place can not be directly implemented on IOT devices; hence, there is a need to improve the research.This work has proposed an ECC based on binary field solution, there were three stages of implementation which includes device registration where each devices are recognised and locked against all forms of communication, device authentication for key agreement and unlocking, communication phase for exchange of information. It was implemented on a contactless ATM card and a mobile phone as an IOT devices used for electronic payment. The evaluation result for storage capacity showed that the mobile phone and the ATM card has the capacity to run ECC security protocol directly, the Jitter result obtained reveals that the Jitter value did not deviate from normal for both devices while, the computational time showed that it is computationally efficient to use ECC over binary field for the security of the perceptual layer.

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“…Four different tree-based and neural network-based machine learning models (such as Random Forest (RF), 2D CNN, Decision Tree and Fully connected Neural Network) were compared for identifying IoT devices using network behavior [ 4 ]. The finding from the experimental work emphasizes the need of updating the models continuously, as the accuracy degrades over time when the model is tested on data that is outside the training set.…”

Section: Related Workmentioning

confidence: 99%

“…A considerably explored area of research for securing IoT devices is the use of machine learning to detect security issues [ 2 , 3 ]. Most machine learning approaches learn device and traffic features from existing data for detecting security attacks using classification methods [ 4 , 5 ]. Moreover, IoT sensors can provide data that can be effectively used for making real time decisions.…”

Section: Introductionmentioning

confidence: 99%

A Blockchain Based Secure IoT System Using Device Identity Management

Sabrina

Sohail²

2022

Sensors

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Sharing data securely and efficiently has been identified as an issue in IoT-based smart systems such as smart cities, smart agriculture, smart health, etc. A large number of IoT devices are used in these smart systems and they produce a large amount of data. IoT devices generally have limited storage and processing capabilities, and configuring any security techniques on these devices is a challenge. In this paper, we propose a novel device identity management approach for blockchain-based IoT systems that provides data security in two ways. Firstly, a lightweight time-based identification protocol that uses hub identification for validating data. Secondly, data storage is augmented with an effective blockchain application for providing easy access and immutability for data sharing among multiple parties. Our initial prototype implementation shows that: our identity management approach can be implemented in large scale settings, our system can be effectively implemented in blockchain platforms, and our performance evaluation result shows that the prototype fulfills system requirements adequately.

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Revisiting IoT Device Identification

Cited by 4 publications

References 0 publications

Enhancing IoT Network Security Through Digital Object Architecture-Based Approaches

Enhancing IoT Network Security Through Digital Object Architecture-Based Approaches

Securing the Perceptual Layer of the Internet of Things (Iot) Devices Using Elliptic Curve Cryptography

A Blockchain Based Secure IoT System Using Device Identity Management

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