Attack Detection Mechanisms for Internet of Everything (IoE) Networks

Raja Waseem Anwar, Kashif Naseer Qureshi

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Internet of Everything (IoE) is one of the superset concepts of Internet of Thing (IoT) based on emerging and revolutionary technologies and standards. The main building blocks of IoE are revolved around people, data, processes, and devices, which makes network connections more relevant, valuable, and for information sharing and providing services. The devices in these networks are connected by using short- and long-range communication standards. These connected ecosystems are heavily relying on embedded electronic devices such as sensors and actuators for data gathering and information dissemination. However, the increasing capacity of data in IoE networks, security, and attack risks is growing due to heterogeneous systems which become venerable to cyber threats and malware attacks. A number of solutions have been designed to prevent and detect the cyber-attacks in IoE networks. Therefore, it is critical to raise IoE security and implement suitable measures to safeguard against these attacks and threats. This chapter presents the fundamental concepts of existing attack detection mechanisms adopted at the edge and cloud-based networks to secure the IoE networks. This chapter also explores the backbone network threats especially edge and cloud computing or other service providers for IoE networks.

Original languageEnglish
Title of host publicationInternet of Things
PublisherSpringer Science and Business Media Deutschland GmbH
Pages41-55
Number of pages15
DOIs
Publication statusPublished - 2024

Publication series

NameInternet of Things
VolumePart F1832
ISSN (Print)2199-1073
ISSN (Electronic)2199-1081

Keywords

  • Attacks
  • Internet of Everything (IoE)
  • IoT
  • Risk
  • Security
  • Threats

Fingerprint

Dive into the research topics of 'Attack Detection Mechanisms for Internet of Everything (IoE) Networks'. Together they form a unique fingerprint.

Cite this