BioSec: A Biometric Authentication Framework for Secure and Private Communication Among Edge Devices in IoT and Industry 4.0

Golec, Muhammed; Gill, Sukhpal Singh; Bahsoon, Rami; Rana, Omer

doi:10.1109/mce.2020.3038040

Cited by 37 publications

(26 citation statements)

References 6 publications

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“…This system is considered a good replacement of keys, locks, and cards and brings convenience and efficiency to organizations such as banks. Golec et al [ 31 ] presented a biometric scheme named BioSec to provide user authentication for edge devices in IoT and Industry 4.0. Specifically, fingerprint-based biometrics are utilized in BioSec, and fingerprint data is secured in both the transmission channel and the database using the standard symmetric encryption method.…”

Section: Biometric-based Systems For Iot-oriented Authenticationmentioning

confidence: 99%

Biometrics for Internet-of-Things Security: A Review

Yang

Wang

Sahri

et al. 2021

Sensors

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The large number of Internet-of-Things (IoT) devices that need interaction between smart devices and consumers makes security critical to an IoT environment. Biometrics offers an interesting window of opportunity to improve the usability and security of IoT and can play a significant role in securing a wide range of emerging IoT devices to address security challenges. The purpose of this review is to provide a comprehensive survey on the current biometrics research in IoT security, especially focusing on two important aspects, authentication and encryption. Regarding authentication, contemporary biometric-based authentication systems for IoT are discussed and classified based on different biometric traits and the number of biometric traits employed in the system. As for encryption, biometric-cryptographic systems, which integrate biometrics with cryptography and take advantage of both to provide enhanced security for IoT, are thoroughly reviewed and discussed. Moreover, challenges arising from applying biometrics to IoT and potential solutions are identified and analyzed. With an insight into the state-of-the-art research in biometrics for IoT security, this review paper helps advance the study in the field and assists researchers in gaining a good understanding of forward-looking issues and future research directions.

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Section: Biometric-based Systems For Iot-oriented Authenticationmentioning

confidence: 99%

Biometrics for Internet-of-Things Security: A Review

Yang

Wang

Sahri

et al. 2021

Sensors

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“…Security and privacy are two important challenges in computing system while delivering services to end users [44]. Privacy-aware fog and edge computing system allow authentic users to access their data using various IoT applications [45].…”

Section: Security and Privacymentioning

confidence: 99%

A Manifesto for Modern Fog and Edge Computing: Vision, New Paradigms, Opportunities, and Future Directions

Gill

2021

EAI/Springer Innovations in Communication and Computing

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The advancements in the use of Internet of Things (IoT) devices is increasing continuously and generating huge amounts of data in a fast manner. Cloud computing is an important paradigm which processes and manages user data effectively. Further, fog and edge computing paradigms are introduced to improve user service by reducing latency and response time. This chapter presents a manifesto for modern fog and edge computing systems based on the current research trends. Further, architectures and applications of fog and edge computing are explained.Moreover, research opportunities and promising future directions are presented with respect to the new paradigms, which will be helpful for practitioners, researchers and academicians to continue their research.

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“…Here, Internet of Things (IoT) applications come into play with their wide range of use and ease of use. Data from sensors and medical devices can be transmitted to servers via an Internet connection [3] and can be made sense with Machine Learning (ML) models. In this way, people suspected of COVID-19 are quickly identified, the necessary authorities are informed, and the spread of the disease to more people can be prevented by isolation [4].…”

Section: Introductionmentioning

confidence: 99%

iFaaSBus: A Security- and Privacy-Based Lightweight Framework for Serverless Computing Using IoT and Machine Learning

Golec

Ozturac²,

Pooranian

et al. 2022

IEEE Trans. Ind. Inf.

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As data of COVID-19 patients is increasing, the new framework is required to secure the data collected from various Internet of Things (IoT) devices and predict the trend of disease to reduce its spreading. This article proposes security and privacy-based lightweight framework called iFaaSBus, which uses the concept of IoT, Machine Learning (ML), and Function as a Service (FaaS) or serverless computing to diagnose the COVID-19 disease and manages resources automatically to enable dynamic scalability. iFaaSBus offers OAuth-2.0 Authorization protocol-based privacy and JSON Web Token & Transport Layer Socket (TLS) protocol-based security to secure the patient's health data. iFaaSBus outperforms response time compared to non-serverless computing while responding to up to 1100 concurrent requests. Further, the performance of various ML models is evaluated based on accuracy, precision, recall, F-score, and Area Under the Curve (AUC) values and the K-Nearest Neighbour model gives the highest accuracy rate of 97.51%.

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BioSec: A Biometric Authentication Framework for Secure and Private Communication Among Edge Devices in IoT and Industry 4.0

Cited by 37 publications

References 6 publications

Biometrics for Internet-of-Things Security: A Review

Biometrics for Internet-of-Things Security: A Review

A Manifesto for Modern Fog and Edge Computing: Vision, New Paradigms, Opportunities, and Future Directions

iFaaSBus: A Security- and Privacy-Based Lightweight Framework for Serverless Computing Using IoT and Machine Learning

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