Mobile edge computing for internet of things (IoT): security and privacy issues

Nowadays, the masonry for environment-friendly and protected network structure designs, for example, the Internet of Things and gigantic data analytics are increasing at a faster pace compared to an earlier state. Mobile edge computing for an Internet of Things widget is information processing that is achieved at or close to the collectors of information in an Internet of Things system. Herein, we are proposing to temporarily evaluation the concepts, features, protection, and privacy applications of Internet of Things authorized mobile edge computing with its data protection view in our data-driven globe. We focus on illuminating one of kind components that need to be taken into consideration whilst creating a scalable, consistent, impenetrable and disseminated mobile edge computing structure. We also sum up the fundamental ideas regarding security threat alleviation strategies. After that, we walk around the existing challenges and opportunities in the area of mobile edge computing. In conclusion, we analyze a case study, in which a security protection mechanism can be hardened to lift out everyday jobs.

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A Survey on Security and Privacy Issues in Edge Computing-Assisted Internet of Things

IEEE Internet of Things Journal ◽

10.1109/jiot.2020.3015432 ◽

2021 ◽

pp. 1-1 ◽

Cited By ~ 1

Author(s):

Abdulmalik Alwarafy ◽

Khaled A. Al-Thelaya ◽

Mohamed Abdallah ◽

Jens Schneider ◽

Mounir Hamdi

Keyword(s):

Internet Of Things ◽

Edge Computing ◽

Security And Privacy ◽

Privacy Issues

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Constructive Solutions for Security and Privacy Issues at the Edge

Cases on Edge Computing and Analytics - Advances in Computational Intelligence and Robotics ◽

10.4018/978-1-7998-4873-8.ch012 ◽

2021 ◽

pp. 235-269

Author(s):

Indra Priyadharshini S. ◽

Pradheeba Ulaganathan ◽

Vigilson Prem M. ◽

Yuvaraj B. R.

Keyword(s):

Edge Computing ◽

Security And Privacy ◽

Smart Sensor ◽

Security Issues ◽

Edge Location ◽

Privacy Issues

The evolution in computing strategies has shown wonders in reducing the reachability issue among different end devices. After centralized approaches, decentralized approaches started to take action, but with the latency in data pre-processing, computing very simple requests was the same as for the larger computations. Now it's time to have a simple decentralized environment called edge that is created very near to the end device. This makes edge location friendly and time friendly to different kinds of devices like smart, sensor, grid, etc. In this chapter, some of the serious and non-discussed security issues and privacy issues available on edge are explained neatly, and for a few of the problems, some solutions are also recommended. At last, a separate case study of edge computing challenges in healthcare is also explored, and solutions to those issues concerning that domain are shown.

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Mobile Edge Computing for Intelligent Mining Safety: A Case Study of Ventilator

2020 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom) ◽

10.1109/ispa-bdcloud-socialcom-sustaincom51426.2020.00192 ◽

2020 ◽

Author(s):

Yuchun Zhang ◽

Liang Zhao ◽

Kaiqi Yang ◽

Lexi Xu

Keyword(s):

Edge Computing ◽

Mobile Edge Computing ◽

Mining Safety

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An investigation of various security and privacy issues in Internet of Things

Materials Today Proceedings ◽

10.1016/j.matpr.2021.07.259 ◽

2021 ◽

Author(s):

Richa Singhai ◽

Rama Sushil

Keyword(s):

Internet Of Things ◽

Security And Privacy ◽

Privacy Issues

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RT-ZooKeeper: Taming the Recovery Latency of a Coordination Service

ACM Transactions on Embedded Computing Systems ◽

10.1145/3477034 ◽

2021 ◽

Vol 20 (5s) ◽

pp. 1-22

Author(s):

Haoran Li ◽

Chenyang Lu ◽

Christopher D. Gill

Keyword(s):

Fault Tolerant ◽

Empirical Evaluation ◽

Distributed Applications ◽

Edge Computing ◽

Challenges And Opportunities ◽

Cloud Environments ◽

Hand Coordination ◽

Recovery Protocols ◽

Recovery Latency

Fault-tolerant coordination services have been widely used in distributed applications in cloud environments. Recent years have witnessed the emergence of time-sensitive applications deployed in edge computing environments, which introduces both challenges and opportunities for coordination services. On one hand, coordination services must recover from failures in a timely manner. On the other hand, edge computing employs local networked platforms that can be exploited to achieve timely recovery. In this work, we first identify the limitations of the leader election and recovery protocols underlying Apache ZooKeeper, the prevailing open-source coordination service. To reduce recovery latency from leader failures, we then design RT-Zookeeper with a set of novel features including a fast-convergence election protocol, a quorum channel notification mechanism, and a distributed epoch persistence protocol. We have implemented RT-Zookeeper based on ZooKeeper version 3.5.8. Empirical evaluation shows that RT-ZooKeeper achieves 91% reduction in maximum recovery latency in comparison to ZooKeeper. Furthermore, a case study demonstrates that fast failure recovery in RT-ZooKeeper can benefit a common messaging service like Kafka in terms of message latency.

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