Performance and Security Analysis of Privacy-Preserved IoT Applications

Brianna Drîngă, Mohammed Elhajj

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

Abstract

The Internet of Things (IoT) is gradually becoming ubiquitous in various domains of our daily lives, its applications ranging from smart homes and wearable devices to healthcare and other sectors. IoT applications generate a large amount of data, which requires privacy preservation due to its sensitive nature. Like other web-based information systems, IoT must cope with the variety of Cyber Security and privacy risks that now disrupt organizations and have the potential to hold entire industries and even countries’ data for ransom. However, ensuring privacy preservation in IoT applications is challenging, as it involves protecting data while maintaining the desired level of performance and security. This work aims to analyze the privacy-preserving methods employed in IoT applications, conduct a performance analysis of these techniques based on latency and throughput, and assess the security of these techniques against various attacks.
Original languageEnglish
Title of host publication2023 IEEE International Conference on Communication, Networks and Satellite (COMNETSAT)
Subtitle of host publicationIEEE International Conference on Communication, Networks and Satellite
PublisherIEEE
Pages549-556
Number of pages8
ISBN (Electronic)979-8-3503-4110-2
ISBN (Print)979-8-3503-4111-9
DOIs
Publication statusPublished - 7 Feb 2024

Keywords

  • 2024 OA procedure
  • Data Anonymization
  • Differential Privacy
  • FHE
  • Internet of Things
  • IoT
  • Performance
  • Privacy-Preserving
  • Security

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