Authentication of IoT Device and IoT Server Using Security Key

Alnahari, Wael; Quasim, Mohammad Tabrez

doi:10.1109/icoten52080.2021.9493492

Cited by 8 publications

(1 citation statement)

References 30 publications

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“…Due to resource constraints, IoT devices often lack the capacity to support complex security schemes [Roy et al 2018]. In order to ensure security, it is important to have mechanisms for authentication in place to verify the entities legitimacy [Alnahari and Quasim 2021].…”

Section: Introductionmentioning

confidence: 99%

Towards a Comparative Study of Authentication Mechanisms for Low-Resource Internet of Things Devices

Sousa,

Tomaz,

Araújo

2024

Anais Estendidos Do XX Simpósio Brasileiro De Sistemas De Informação (SBSI 2024)

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Authenticity represents an essential facet of information security explored across various Information Systems (IS), including Internet of Things (IoT) devices in Industry 4.0. However, deploying authentication mechanisms in specific IoT devices poses significant challenges, particularly for those with energy, memory, and computational power constraints. Given this context, this ongoing research project aims to compare conventional authentication mechanisms for low-resource IoT devices and identify the most efficient one among them. As an initial result, this paper aims to present our methodological scope and discuss preliminary empirical results derived from a computational experiment using the Non Interactive Zero Knowledge Proofs (NIZKP), algorithm in Arduino Nano. This research seeks to enhance the comprehension of authentication mechanisms in low-resource IoT devices, thus facilitating better decision-making processes in IS settings and contributing to academia and practice.

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Section: Introductionmentioning

confidence: 99%

Towards a Comparative Study of Authentication Mechanisms for Low-Resource Internet of Things Devices

Sousa,

Tomaz,

Araújo

2024

Anais Estendidos Do XX Simpósio Brasileiro De Sistemas De Informação (SBSI 2024)

View full text Add to dashboard Cite

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IoT malware: An attribute-based taxonomy, detection mechanisms and challenges

Victor,

Lashkari,

et al. 2023

Peer-to-Peer Netw. Appl.

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During the past decade, the Internet of Things (IoT) has paved the way for the ongoing digitization of society in unique ways. Its penetration into enterprise and day-to-day lives improved the supply chain in numerous ways. Unfortunately, the profuse diversity of IoT devices has become an attractive target for malware authors who take advantage of its vulnerabilities. Accordingly, enhancing the security of IoT devices has become the primary objective of industrialists and researchers. However, most present studies lack a deep understanding of IoT malware and its various aspects. As understanding IoT malware is the preliminary base of research, in this work, we present an IoT malware taxonomy with 100 attributes based on the IoT malware categories, attack types, attack surfaces, malware distribution architecture, victim devices, victim device architecture, IoT malware characteristics, access mechanisms, programming languages, and protocols. In addition, we have mapped these categories into 77 IoT Malwares identified between 2008 and 2022. Furthermore, To provide insight into the challenges in IoT malware research for future researchers, our study also reviews the existing IoT malware detection works.

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