Abstract
A Wireless Sensor Network (WSN) is composed of a number of sensor nodes and a single Base-Station (BS), distributed randomly in an area of interest. WSNs have proven very beneficial in various applications in unattended setup in many domains such as scientific, civil, and military. In these applications, sensors send their measurements to the Base Station over multi-hop wireless routes where the Base Station is responsible for collecting and processing the sensed data. Given the importance of the BS, a potential attacker would look to locate the base station by examining network traffic patterns in order to launch specific attacks intended to interfere with network functionality. In this paper, we analyze traffic analysis attack models from the viewpoint of an adversary. Additionally, we examine the benefits and drawbacks of various routing protocols in terms of exposing the network to traffic analysis attacks. Our evaluation is supported by simulation results.
Original language | English |
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Title of host publication | Proceedings - 2022 14th IEEE International Conference on Computational Intelligence and Communication Networks, CICN 2022 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 819-823 |
Number of pages | 5 |
ISBN (Electronic) | 9781665487719 |
DOIs | |
State | Published - 2022 |
Event | 14th IEEE International Conference on Computational Intelligence and Communication Networks, CICN 2022 - Al-Khobar, Saudi Arabia Duration: 4 Dec 2022 → 6 Dec 2022 |
Publication series
Name | Proceedings - 2022 14th IEEE International Conference on Computational Intelligence and Communication Networks, CICN 2022 |
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Conference
Conference | 14th IEEE International Conference on Computational Intelligence and Communication Networks, CICN 2022 |
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Country/Territory | Saudi Arabia |
City | Al-Khobar |
Period | 4/12/22 → 6/12/22 |
Bibliographical note
Publisher Copyright:© 2022 IEEE.
Keywords
- Location privacy
- Traffic Analysis
- Wireless Sensor Networks
- routing protocols
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Networks and Communications
- Computer Science Applications
- Computer Vision and Pattern Recognition