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Enhancing Probabilistic Voting-based Filtering Scheme against Injection Attacks
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- Authors
- Jin Myoung Kim, Ingeol Chun
- Issue Date
- 2025-06
- Citation
- KSII Transactions on Internet and Information Systems, v.19, no.6, pp.1973-1986
- ISSN
- 1976-7277
- Publisher
- 한국인터넷정보학회
- Language
- English
- Type
- Journal Article
- Abstract
- In wireless sensor networks, sensor nodes are deployed in target territory by aircrafts. Sensor nodes in hostile environments are easy to be captured by adversaries physically. By exploiting the captured nodes which are called compromised node, the adversaries can read information and control by re-programming. Using the compromised nodes, adversaries perform false data injection attack. Against the attack, a lot of solutions are researched. In the solutions, en-route filtering schemes provide probabilistically methods for detecting fabricated data. Although these schemes detect fabricated data, they cannot identify the compromised node after detecting attacks. In this paper, we will illustrate the defective and propose a robustness method for detecting and preventing attack in the network. Proposed method detects injection attacks and makes compromised nodes isolated. We also will show the efficiency of our solution through simulations.
- KSP Keywords
- Compromised nodes, En-route filtering, False data injection attack, Filtering schemes, Hostile environments, Sensor node, Wireless Sensor networks, based filtering