Abstract
This research investigates the intersection of secure clock synchronization and cryptography in the Internet of Things (IoT) context. Cryptography is employed to address challenges in achieving consensus on a system clock among nodes, even in the presence of malicious entities attempting to disrupt synchronization. The paper introduces an innovative synchronization scheme with two main components: a lightweight linear encryption method to secure clock messages against specific attacks and a simple consensus algorithm to compute the synchronized system clock. This scheme, designed for Wireless Sensor Networks (WSNs), aims to overcome issues such as high energy consumption and susceptibility to attacks found in existing synchronization techniques. The study's results demonstrate the proposed scheme's efficacy in enhancing secure clock synchronization within IoT environments.
| Original language | English |
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| Title of host publication | ICFNDS 2023 - 2023 The 7th International Conference on Future Networks and Distributed Systems |
| Publisher | Association for Computing Machinery |
| Pages | 674-681 |
| Number of pages | 8 |
| ISBN (Electronic) | 9798400709036 |
| DOIs | |
| State | Published - 21 Dec 2023 |
| Externally published | Yes |
| Event | 7th International Conference on Future Networks and Distributed Systems, ICFNDS 2023 - Dubai, United Arab Emirates Duration: 21 Dec 2023 → 22 Dec 2023 |
Publication series
| Name | ACM International Conference Proceeding Series |
|---|
Conference
| Conference | 7th International Conference on Future Networks and Distributed Systems, ICFNDS 2023 |
|---|---|
| Country/Territory | United Arab Emirates |
| City | Dubai |
| Period | 21/12/23 → 22/12/23 |
Bibliographical note
Publisher Copyright:© 2023 ACM.
Keywords
- Clock Synchronization
- Encryption
- Internet of Things (IoT)
- Outliers
- Security
- Time Synchronization
- Wireless Sensor Networks (WSNs)
ASJC Scopus subject areas
- Human-Computer Interaction
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Software