SIoTFog: Byzantine-resilient IoT fog networking

Jian-wen XU; Kaoru OTA; Mian-xiong DONG; An-feng LIU; Qiang LI

doi:10.1631/FITEE.1800519

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SIoTFog: Byzantine-resilient IoT fog networking

Special Issue on Cyberspace Security | Updated：2022-05-19

- SIoTFog: Byzantine-resilient IoT fog networking
- SIoTFog：具备拜占庭容错机制的物联网雾计算网络
- Frontiers of Information Technology & Electronic Engineering Vol. 19, Issue 12, Pages: 1546-1557(2018)
- Affiliations：
  
  Department of Information and Electronic Engineering, Muroran Institute of Technology, Muroran 0508585, Japan
  School of Information Science and Engineering, Central South University, Changsha 410083, China
  MOE Key Laboratory of Symbol Computation and Knowledge Engineering, Jilin University, Changchun 130012, China
- Author bio：
  
  [ "Jian-wen XU, E-mail: 17096011@mmm.muroran-it.ac.jp" ]
  [ "Kaoru OTA, E-mail: ota@mmm.muroran-it.ac.jp" ]
  Mian-xiong DONG, E-mail: mxdong@mmm.muroran-it.ac.jp
  [ "An-feng LIU, E-mail: afengliu@mail.csu.edu.cn" ]
  [ "Qiang LI, E-mail: li_qiang@jlu.edu.cn" ]
- Funds：
- DOI：10.1631/FITEE.1800519
  CLC： TP393
- Received：31 August 2018，
  
  Revised：2018-12-17，
  
  Published：2018-12
- Accepted：
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Jian-wen XU, Kaoru OTA, Mian-xiong DONG, et al. SIoTFog: Byzantine-resilient IoT fog networking[J]. Frontiers of Information Technology & Electronic Engineering, 2018, 19(12): 1546-1557.
DOI：

Jian-wen XU, Kaoru OTA, Mian-xiong DONG, et al. SIoTFog: Byzantine-resilient IoT fog networking[J]. Frontiers of Information Technology & Electronic Engineering, 2018, 19(12): 1546-1557. DOI： 10.1631/FITEE.1800519.

摘要

物联网技术爆炸式发展，从可穿戴设备到车辆互联，再到智慧城市等方面，正在改变人们的日常生活。过去，人们习惯将雾计算看作云计算的延伸；事实上，雾计算逐渐成为传输、处理分布式大数据的理想解决办法。提出一种考虑拜占庭容错的组网方法，以及两种针对物联网雾计算的资源分配算法。目的是设计一个称作"SIoTFog"的安全雾计算网络，能够抵御拜占庭错误影响并提高传输、处理物联网大数据的效率。考虑两种情况，即面对单一拜占庭错误和多拜占庭错误的不同隐患时，比较算法性能。选择时延、传输时总转发跳数和设备利用率作为性能指标。仿真结果表明，该方法可助力实现高效、可靠的雾计算网络。

Abstract

The current boom in the Internet of Things (IoT) is changing daily life in many ways

from wearable devices to connected vehicles and smart cities. We used to regard fog computing as an extension of cloud computing

but it is now becoming an ideal solution to transmit and process large-scale geo-distributed big data. We propose a Byzantine fault-tolerant networking method and two resource allocation strategies for IoT fog computing. We aim to build a secure fog network

called pSIoTFog

q to tolerate the Byzantine faults and improve the efficiency of transmitting and processing IoT big data. We consider two cases

with a single Byzantine fault and with multiple faults

to compare the performances when facing different degrees of risk. We choose latency

number of forwarding hops in the transmission

and device use rates as the metrics. The simulation results show that our methods help achieve an efficient and reliable fog network.

关键词

Keywords

references

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