Fuzzy-based protocol for secure remote diagnosis of IoT devices in 5G networks

Vishal Sharma, Jiyoon Kim, Soonhyun Kwon, Ilsun You*, Hsing-Chung Chen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)


Internet of things (IoT) aims at connecting a large number of devices for supporting “Connectivity to All” in the 5G networks. With connections between the majority of computing devices, capturing a single entity can expose the perimeter of the entire network. Remote diagnosis of the IoT devices can help in identification of such loopholes. However, if an intruder is already present in the network, it can falsify the diagnostic procedures and can cause serious threats to the network. Thus, an efficient strategy is required which can provide remote diagnosis along with the secure validation of IoT devices. In this paper, fuzzy logic is used to resolve the safety decisions and remote diagnosis of IoT devices in 5G networks. The proposed solution uses a two-pass methodology to generate inference rules at the central as well as the local inference engine. The proposed approach evaluates the network in two phases. The first phase emphasizes on the remote diagnosis and the second phase emphasizes on the remote validation. On the basis of these phases, a remote assessment protocol is also proposed which helps in remote validations with lower overheads and ease of deployment.

Original languageEnglish
Title of host publicationThird International Conference on Internet of Things as a Service (IoTaaS 2017): Proceedings
EditorsYi-Bing Lin, Ilsun You, Der-Jiunn Deng, Chun-Cheng Lin
Number of pages10
ISBN (Print)9783030004095
Publication statusPublished - 18 Oct 2018
Externally publishedYes
Event3rd International Conference on IoT as a Service, IoTaaS 2017 - Taichun, Taiwan, Province of China
Duration: 20 Sept 201722 Sept 2017

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
ISSN (Print)1867-8211


Conference3rd International Conference on IoT as a Service, IoTaaS 2017
Country/TerritoryTaiwan, Province of China


  • 5G
  • Fuzzy
  • IoT
  • Remote-diagnosis
  • Security

ASJC Scopus subject areas

  • Computer Networks and Communications


Dive into the research topics of 'Fuzzy-based protocol for secure remote diagnosis of IoT devices in 5G networks'. Together they form a unique fingerprint.

Cite this