International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | An Energy-Efficient Trust-Based Framework for Malicious Node Detection in Wireless Sensor Networks |
|---|---|
| ABSTRACT | Wireless Sensor Networks (WSNs) are highly vulnerable to malicious node attacks due to their distributed architecture, wireless communication, and limited energy resources. Malicious nodes can disrupt packet transmission, reduce network reliability, and degrade overall communication performance. To address these challenges, this paper presents an energy-efficient trust-based framework for detecting malicious nodes in WSN. The proposed model evaluates sensor node behavior using dynamic trust computation based on packet forwarding behavior, residual energy, and communication reliability. Sensor nodes with trust values below a predefined threshold are identified as malicious and isolated from network communication. Simulation results demonstrate that the proposed trust-aware approach improves network performance and security compared to the non-trust model. Furthermore, the trust-based mechanism maintained better packet delivery performance and reduced the participation of malicious nodes during communication. The results confirm that integrating dynamic trust evaluation with energy-aware communication significantly enhances malicious node detection capability while maintaining efficient resource utilization in WSN environments. The proposed framework provides a reliable and scalable solution for secure wireless sensor network applications, including environmental monitoring, military surveillance, healthcare systems, and IoT-based smart infrastructure. |
| AUTHOR | CHANDER SHEKHAR, SUMIT DALAL, ROHINI SHARMA P.G. Student, Department of ECE, Sat Kabir Institute of Technology and Management, Ladrawan, Haryana, India Assistant Professor, Department of ECE, Sat Kabir Institute of Technology and Management, Ladrawan, Haryana, India Assistant Professor, Department of CS, GPGCW, Rohtak, Haryana, India |
| VOLUME | 184 |
| DOI | DOI: 10.15680/IJIRCCE.2026.1405057 |
| pdf/57_An Energy-Efficient Trust-Based Framework for Malicious Node Detection in Wireless Sensor Networks.pdf | |
| KEYWORDS | |
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