A Lightweight Security Scheme for Failure Detection in Microservices IoT-Edge Networks

Ali Hassan Sodhro, Abdullah Lakhan, Sandeep Pirbhulal, Tor Morten Groenli, Habtamu Abie

Research output: Chapter in Book/ReportChapter in bookpeer-review

5 Citations (Scopus)

Abstract

Nowadays, microservices-based applications such as E-Business, E-Healthcare, 3D-Gaming, and Augmented Reality have latterly drawn attention in the research area. The microservices enabled applications are different from traditional monolithic applications with high demand of security and fault detection, therefore, a lightweight secure and failure detection enabled schemes widely required for the new applications. This paper proposes a new lightweight microservices mobile cloud (Mob-Cloud) framework that replaces the heavyweight virtual machine (VM) based on mobile cloud computing (MCC). The study devises MFHE (Modified Fully Homomorphism Encryption) and WATFA (Workload Assignment Transient Fault Aware) schemes to deal with security and failures. Simulation results show that the proposals are practical for the considered problem.

Original languageEnglish
Title of host publication Sensing Technology
EditorsNagender Kumar Suryadevara, Boby George, Krishanthi P. Jayasundera, Joyanta Kumar Roy, Subhas Chandra Mukhopadhyay
Place of PublicationCham
PublisherSpringer
Pages397-409
Number of pages13
ISBN (Electronic)978-3-030-98886-9
ISBN (Print)978-3-030-98885-2
DOIs
Publication statusPublished - 2022-Jul-08
Event14th International Conference on Sensing Technology, ICST 2022 - Chennai, India
Duration: 2022-Jan-162022-Jan-18

Publication series

NameLecture Notes in Electrical Engineering
PublisherSpringer, Cham
Volume886
ISSN (Print)1876-1100

Conference

Conference14th International Conference on Sensing Technology, ICST 2022
Country/TerritoryIndia
CityChennai
Period22-01-1622-01-18

Swedish Standard Keywords

  • Computer Sciences (10201)

Keywords

  • Encryption
  • MFHE
  • Transient
  • WA
  • WATFA

Fingerprint

Dive into the research topics of 'A Lightweight Security Scheme for Failure Detection in Microservices IoT-Edge Networks'. Together they form a unique fingerprint.

Cite this