Robust Lightweight Privacy-Preserving and Session Scheme Interrogation for Fog Computing Systems

Deebak, Bakkiam David; Al‐Turjman, Fadi

doi:10.1016/j.jisa.2020.102689

Cited by 13 publications

(9 citation statements)

References 62 publications

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“…It can be a single‐centric network to address the key benefits of sensor‐based cloud architecture such as virtual sensing, caching, and pricing. Moreover, it has three different entities such as end‐user, sensing units, and cloud service providers to enable sensor virtualization through mobility‐as‐a‐service (MaaS) 68 . In the sensor‐based cloud, the pricing mechanism applies a pay‐per‐use model to rent the application services.…”

Section: Research Methodologiesmentioning

confidence: 99%

“…Moreover, it has three different entities such as end-user, sensing units, and cloud service providers to enable sensor virtualization through mobility-as-a-service (MaaS). 68 In the sensor-based cloud, the pricing mechanism applies a pay-per-use model to rent the application services. In other words, the device owners earn the service benefits upon the usage of the sensing units.…”

Section: Mobile Sensor Networkmentioning

confidence: 99%

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Digital‐twin assisted: Fault diagnosis using deep transfer learning for machining tool condition

Deebak

Al‐Turjman²

2021

Int J of Intelligent Sys

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The rapid development forms a new transition of information technologies to offer an intelligent manufacturing. The manufacturer has revolutionized the stages of product lifecycle including process planning and maintenance for the early detection of potential system failures and proactive management. Technological advancements including big data, the cloud, and the Internet of Things have applied digital‐twin for industrial practice. It has low‐power wireless‐enabled devices to play a vital role in various industrial automation systems such as industry logistics, portable equipment, and intelligent wireless monitoring. It is evident that industrial manufacturers are nowadays aiming to transform the machine into fully automated systems that not only control the operation of the equipment but also try to meet the demand of future markets effectively. One of the challenging issues in the automation of the machinery process is the deployment of reliable systems to analyze the machinery condition such as fault diagnosis. Thus, this article proposes a digital‐twin‐assisted fault diagnosis using deep transfer learning to analyze the operational conditions of machining tools. Moreover, this proposed system has developed an intelligent tool‐holder that integrates a k‐type thermocouple and cloud data acquisition system over the WiFi module. The analytical study proves that this intelligent tool‐holder provides better accuracy to demonstrate the optimization of milling and drilling operations of cutting tools.

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Section: Research Methodologiesmentioning

confidence: 99%

Section: Mobile Sensor Networkmentioning

confidence: 99%

Digital‐twin assisted: Fault diagnosis using deep transfer learning for machining tool condition

Deebak

Al‐Turjman²

2021

Int J of Intelligent Sys

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“…In 2013, harn [13] proposed an idea of group authentication whose complexity (O(n)) is very much less than general approach of authentication (O(n 2 )) [14]. Recently, [27], [28] and [29] have used group-based authentication in fog computing, drones network and Intelligent transportation system (ITS) respectively. In [16], Chien et al demonstrates the flaws in Harn's asynchronous methods and propose a new scheme to overcome the issues such as spoofing attack and make it more efficient.…”

Section: Related Workmentioning

confidence: 99%

“…A secure channel is needed for the exchange of tokens among the nodes as in [27], [28] and [29]which makes these schemes uneconomical with latency. In our work, we have proposed a novel group-based authentication scheme that eliminates secure channels' dependency.…”

Section: Proposed Schemementioning

confidence: 99%

A novel authentication scheme for group based communication for IoT oriented infrastructure in smart cities

Alam

Kumar

2022

Preprint

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As a result of the rapid developments in digital technologies, smart cities have been adorned with several digital gadgets based on the Internet of Things (IoT). The essential part of smart cities operations is IoT communications. IoT devices generate, process, and exchange a large amount of security-critical and privacy-sensitive data regularly, resulting in attractive targets for threats and attacks. Group-oriented communication plays a critical role in the IoT world, such as data gathering and area monitoring. The lower time complexity of Group-based authentication (GBA) makes these protocols very popular for efficient and secured communication. This paper uses a polynomial-based group authentication scheme and membership verification to ensure efficient and threat-free communication among IoT devices. Furthermore, a Bi-variate polynomial is used instead of the single variable polynomial to add the novelty of the work. Along with novelty, the protected nature of the bi-variate polynomial makes the proposed scheme very secure and reliable. Security analysis of the proposed work shows its efficiency over existing schemes.

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“…Secure group communication and membership authentication is needed for hours. Recently, [26]- [28] have used group-based authentication in fog computing, drones network and Intelligent transportation system (ITS), respectively. Studies on group authentication are mostly based on secret sharing schemes.…”

Section: Related Workmentioning

confidence: 99%

A novel authentication scheme for group based communication for IoT oriented infrastructure in smart cities

Alam

Kumar

2022

Preprint

View full text Add to dashboard Cite

As a result of the rapid developments in digital technologies, smart cities have been adorned with several digital gadgets based on the Internet of Things (IoT). The essential part of smart city operations is IoT communications. IoT devices generate, process, and exchange a large amount of security-critical and privacy-sensitive data regularly, resulting in attractive targets for threats and attacks. Group-oriented communication, such as data gathering and area monitoring, is critical in the IoT World. It enables users to manage various IoT devices simultaneously. Conventional one-to-one authentication techniques donot consider the resource constraints of IoT devices in grouped communication. They also do not solve the issue of massive machinecommunication (mMTC) scalability. Many to Many (M2M)authentication approach of group authentication makes grouporientedcommunication and mMTC very secure. The lower timecomplexity of Group-based authentication (GBA) makes theseprotocols very popular for efficient and secured communication.This paper uses a polynomial-based group authentication schemeand membership verification to ensure efficient and threat-freecommunication among IoT devices. Bi-variate polynomials havebeen used instead of single variable functions in the proposedscheme. The protected nature of the bi-variate polynomial makesthe proposed scheme very secure and reliable. Furthermore,establishing the session key makes the proposed scheme effectiveand efficient. Security analysis of the proposed work shows itsefficiency over existing schemes.

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Robust Lightweight Privacy-Preserving and Session Scheme Interrogation for Fog Computing Systems

Cited by 13 publications

References 62 publications

Digital‐twin assisted: Fault diagnosis using deep transfer learning for machining tool condition

Digital‐twin assisted: Fault diagnosis using deep transfer learning for machining tool condition

A novel authentication scheme for group based communication for IoT oriented infrastructure in smart cities

A novel authentication scheme for group based communication for IoT oriented infrastructure in smart cities

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