QoS-Aware Personalized Privacy With Multipath TCP for Industrial IoT: Analysis and Design

Pokhrel, Shiva Raj; Qu, Youyang; Gao, Longxiang

doi:10.1109/jiot.2020.2972063

Cited by 30 publications

(8 citation statements)

References 34 publications

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“…Critical infrastructures were using centralised cloud computing, where all the data need to be transferred to the cloud data centre for processing. This creates the potential risk of privacy leakage [39], [40].…”

Section: Critical Infrastructures In Industry 40mentioning

confidence: 99%

Convergence of Blockchain and Edge Computing for Secure and Scalable IIoT Critical Infrastructures in Industry 4.0

Dai

Wang

2021

IEEE Internet Things J.

213

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Critical infrastructure systems are vital to underpin the functioning of a society and economy. Due to ever-increasing number of Internet-connected Internet-of-Things (IoTs) / Industrial IoT (IIoT), and high volume of data generated and collected, security and scalability are becoming burning concerns for critical infrastructures in industry 4.0. The blockchain technology is essentially a distributed and secure ledger that records all the transactions into a hierarchically expanding chain of blocks. Edge computing brings the cloud capabilities closer to the computation tasks. The convergence of blockchain and edge computing paradigms can overcome the existing security and scalability issues. In this paper, we first introduce the IoT/IIoT critical infrastructure in industry 4.0, and then we briefly present the blockchain and edge computing paradigms. After that, we show how the convergence of these two paradigms can enable secure and scalable critical infrastructures. Then, we provide a survey on state-of-the-art for security and privacy, and scalability of IoT/IIoT critical infrastructures. A list of potential research challenges and open issues in this area is also provided, which can be used as useful resources to guide future research.

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Section: Critical Infrastructures In Industry 40mentioning

confidence: 99%

Convergence of Blockchain and Edge Computing for Secure and Scalable IIoT Critical Infrastructures in Industry 4.0

Dai

Wang

2021

IEEE Internet Things J.

213

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“…where Q g is a continuous function with return factor g. On the other hand, g is the return factor of the next time slot, as shown in Eq. (10). A gradient descent strategy is used to solve the gain in the next moment.…”

Section: B Q-learning Model With Mptcpmentioning

confidence: 99%

“…For more information, see https://creativecommons.org/licenses/by/4.0/ improves the utilization of the high-quality links, but also makes the flow allocation unbalanced. From an energy consumption perspective, the existence of oversaturated paths may result in energy waste [10]. Additionally, there is also increased use of the Dynamic Adaptive Streaming over HTTP (DASH) protocol at application layer.…”

Section: Introductionmentioning

confidence: 99%

A Q-Learning Driven Energy-Aware Multipath Transmission Solution for 5G Media Services

Zhong

Xiang

Wang

et al. 2022

IEEE Trans. on Broadcast.

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“…However, the current MPTCP techniques provide inflexible transmission strategies to meet the performance requirements of IoT Big Data of high responsiveness and high reliability as they do not consider the huge traffic of data in mostly high speed [50]. For example, Pokhrel et al [40] studied the application of MPTCP on Industrial IoT, so called IIoT, domain. IIoT is an extension of IoT employed in industry for high operational efficiency and intelligent monitoring and tracking applications, and predictive and preventive maintenance [46].…”

Section: Concluding Remarks and Future Directionsmentioning

confidence: 99%

A Survey of Multipath TCP Scheduling Schemes: Open Challenges and Potential Enablers

Asiri¹

2021

Preprint

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Today, mobile devices like smartphones are supported with various wireless radio interfaces including cellular (3G/4G/LTE) and Wi-Fi (IEEE 802.11) [42]. The legacy devices can only communicate with only one interface. The Transmission Control Protocol, or TCP, has a limitation inability to change connection settings without breaking the connection. In this paper, we explain how multi-path TCP (MPTCP) protocol has been proposed to solve TCP single-interface limitation and provides a huge improvement on application performance by using multiple paths transparently (auto path changing). We discuss the last mile, which is the final networking segment that carried all network traffic. Indeed, the available bandwidth in last-mile link can effectively harm the network throughput as it limits the amount of transmitted data. We found that the quality of the last mile networks significantly determines the reliability and quality of the carrying network. We believe MPTCP can provide a convenient solution for the last mile problem. We provide a holistic view of the challenges and potential enablers in details.<br>

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QoS-Aware Personalized Privacy With Multipath TCP for Industrial IoT: Analysis and Design

Cited by 30 publications

References 34 publications

Convergence of Blockchain and Edge Computing for Secure and Scalable IIoT Critical Infrastructures in Industry 4.0

Convergence of Blockchain and Edge Computing for Secure and Scalable IIoT Critical Infrastructures in Industry 4.0

A Q-Learning Driven Energy-Aware Multipath Transmission Solution for 5G Media Services

A Survey of Multipath TCP Scheduling Schemes: Open Challenges and Potential Enablers

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