Multi-level Security Threats Projection in Edge Computing

Arpit Kanungo, Priyansu Mohanty, Sushruta Mishra*, Rajkumar Singh Rathore, Baydaa Sh Z. Abood

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In the present world, almost all devices are connected over the Internet. This research paper highlights the advantages of edge computing, such as reduced data transmission, improved security and privacy, and increased application dependability. However, it also explores the risks and vulnerabilities associated with edge cybersecurity, including compromised centrally stored data, password policies in edge devices, and challenges in tracking and monitoring IoT traffic and analyzing various attacks like password attack, MITM attack, malware injection, etc. The paper also presents a statistical representation of a survey conducted in various sectors, highlighting the importance of security for edge computing use cases. It also reviews the existing literature on edge computing security, discussing topics such as data security and privacy, cryptography-based techniques, CDN, RTEM systems, Multi-Access EC and security measures in IoT. There is a statistical comparison of the proposed model and how it can have an edge over other techniques or systems. This paper then, concludes by emphasizing the importance of maintaining strong security measures in edge computing and the selection of model can depend upon the individual or company based on their requirements.

Original languageEnglish
Title of host publicationProceedings of 5th Doctoral Symposium on Computational Intelligence - DoSCI 2024
EditorsAbhishek Swaroop, Vineet Kansal, Giancarlo Fortino, Aboul Ella Hassanien
PublisherSpringer Science and Business Media Deutschland GmbH
Pages173-185
Number of pages13
ISBN (Print)9789819760350
DOIs
Publication statusPublished - 4 Oct 2024
Event5th Doctoral Symposium on Computational Intelligence, DoSCI 2024 - Lucknow, India
Duration: 10 May 202410 May 2024

Publication series

NameLecture Notes in Networks and Systems
Volume1086
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

Conference5th Doctoral Symposium on Computational Intelligence, DoSCI 2024
Country/TerritoryIndia
CityLucknow
Period10/05/2410/05/24

Keywords

  • CDN
  • Cyptography-based
  • Edge computing
  • Edge cybersecurity
  • Malware injection
  • Multi-access EC
  • RTEM

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