High-Secure Data Collection in IoT Sensor Networks using Homomorphic Encryption

Tuy Tan Nguyen, Quoc Bao Phan, Ngoc Thang Bui, Carlo daCunha

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

3 Scopus citations

Abstract

In wireless sensor networks, sensor nodes are deployed in open environments to gather and send collected data to a remote server. During the data transmission process, the collected data is vulnerable to security risks, making it crucial to encrypt the data to prevent it from falling into the wrong hands. This paper proposes a new approach that integrates homomorphic encryption (HE) algorithms into the sensor devices, allowing the data collected by the sensors to be encrypted before transmission. By utilizing HE in the sensor networks, the server can execute calculations on the encrypted data without requiring decryption. To implement the HE function, we use the Simple Encrypted Arithmetic Library (SEAL), which the Microsoft Cryptography Research Group developed. We evaluated the HE-based data collection scheme in IoT sensor networks with various network topologies to assess network lifetime, communication distance, and data collection latency.

Original languageEnglish (US)
Title of host publicationSensors and Systems for Space Applications XVI
EditorsGenshe Chen, Khanh D. Pham
PublisherSPIE
ISBN (Electronic)9781510662087
DOIs
StatePublished - 2023
Externally publishedYes
EventSensors and Systems for Space Applications XVI 2023 - Orlando, United States
Duration: Apr 30 2023May 5 2023

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume12546
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceSensors and Systems for Space Applications XVI 2023
Country/TerritoryUnited States
CityOrlando
Period4/30/235/5/23

Keywords

  • Cloud service
  • data collection
  • encrypted data
  • homomorphic encryption
  • sensor networks

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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