Securing Smart Offices Through an Intelligent and Multi-device Continuous Authentication System

Sánchez, Pedro Miguel Sánchez; Celdrán, Alberto Huertas; Maimó, Lorenzo Fernández; Pérez, Gregorio Martínez; Wang, Guojun

doi:10.1007/978-981-15-1301-5_7

Cited by 4 publications

(2 citation statements)

References 15 publications

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“…The Smart Offices concept has been discussed in [ 75 ] as efficiency, productivity, and facility are the key factors for improvement and efficient working. However, the IoT assets and other devices in a smart office environment pose cybersecurity challenges in a smart cities concept.…”

Section: Authentication Schemes Based On Centralized Architectures In...mentioning

confidence: 99%

A Comparative Analysis on Blockchain versus Centralized Authentication Architectures for IoT-Enabled Smart Devices in Smart Cities: A Comprehensive Review, Recent Advances, and Future Research Directions

Khalil

Malik

Uddin

et al. 2022

Sensors

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Smart devices have become an essential part of the architectures such as the Internet of Things (IoT), Cyber-Physical Systems (CPSs), and Internet of Everything (IoE). In contrast, these architectures constitute a system to realize the concept of smart cities and, ultimately, a smart planet. The adoption of these smart devices expands to different cyber-physical systems in smart city architecture, i.e., smart houses, smart healthcare, smart transportation, smart grid, smart agriculture, etc. The edge of the network connects these smart devices (sensors, aggregators, and actuators) that can operate in the physical environment and collects the data, which is further used to make an informed decision through actuation. Here, the security of these devices is immensely important, specifically from an authentication standpoint, as in the case of unauthenticated/malicious assets, the whole infrastructure would be at stake. We provide an updated review of authentication mechanisms by categorizing centralized and distributed architectures. We discuss the security issues regarding the authentication of these IoT-enabled smart devices. We evaluate and analyze the study of the proposed literature schemes that pose authentication challenges in terms of computational costs, communication overheads, and models applied to attain robustness. Hence, lightweight solutions in managing, maintaining, processing, and storing authentication data of IoT-enabled assets are an urgent need. From an integration perspective, cloud computing has provided strong support. In contrast, decentralized ledger technology, i.e., blockchain, light-weight cryptosystems, and Artificial Intelligence (AI)-based solutions, are the areas with much more to explore. Finally, we discuss the future research challenges, which will eventually help address the ambiguities for improvement.

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Section: Authentication Schemes Based On Centralized Architectures In...mentioning

confidence: 99%

A Comparative Analysis on Blockchain versus Centralized Authentication Architectures for IoT-Enabled Smart Devices in Smart Cities: A Comprehensive Review, Recent Advances, and Future Research Directions

Khalil

Malik

Uddin

et al. 2022

Sensors

View full text Add to dashboard Cite

show abstract

“…It is noteworthy that if any device is compromised by an attacker, then the entire system will be in danger, resulting in catastrophic damage. For example, an attacker can control devices, the network or the system; he can also access critical information and privilege escalation by performing a chain attack, as happened recently in the case of the SolarWinds supply chain attack, which caused other systems (FireEye and others) to become infected [11], [12].…”

mentioning

confidence: 99%

A Robust Device-to-Device Continuous Authentication Protocol for the Internet of Things

Badhib¹,

Alshehri

Cherif

2021

IEEE Access

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The Internet of Things (IoT) is a heterogeneous environment that connects billions of devices. Thus, it is a significantly high-value target for attackers and suffers from several threats, especially impersonation attacks during the session. Moreover, the denial of service attack (DoS) threatens IoT environments, as it affects the availability and energy of communicating devices. Continuous authentication solves session hijacking since it checks user legitimacy during the session. Several continuous authentication schemes were proposed to authenticate users to IoT devices, while few works addressed device-to-device authentication. Therefore, it is essential to authenticate devices because if one device gets compromised, then the whole system is at risk. Continuous authentication between devices differs from user-to-device authentication since it cannot rely on biometrics and passwords. This research proposes a fast and secure device-to-device continuous authentication protocol that relies on devices' features (token, battery, and location), and mitigates DoS attacks using shadow IDs and emergency keys. Moreover, it takes the sensor movement into account while preserving privacy. To evaluate the robustness and validate the security of the proposed protocol, we conducted informal and formal analyses using Scyther. In addition, we tested its performance to establish computation costs relative to the system counterparts. The results show the protocol is robust against security threats, incurring reasonable computational costs.

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Deep Learning-based Continuous Authentication for an IoT-enabled healthcare service

Sahu

Sharma

Raja

2022

Computers and Electrical Engineering

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Securing Smart Offices Through an Intelligent and Multi-device Continuous Authentication System

Cited by 4 publications

References 15 publications

A Comparative Analysis on Blockchain versus Centralized Authentication Architectures for IoT-Enabled Smart Devices in Smart Cities: A Comprehensive Review, Recent Advances, and Future Research Directions

A Comparative Analysis on Blockchain versus Centralized Authentication Architectures for IoT-Enabled Smart Devices in Smart Cities: A Comprehensive Review, Recent Advances, and Future Research Directions

A Robust Device-to-Device Continuous Authentication Protocol for the Internet of Things

Deep Learning-based Continuous Authentication for an IoT-enabled healthcare service

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