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@article{184075,
        author = {Raajaiswar Agnihatri and Dr. Farhad Alam},
        title = {Randomized Secure Detection for Node Cloning and Attacks in Wireless Sensor Networks: A Scalable and Energy-Efficient Approach},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {4},
        pages = {73-79},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=184075},
        abstract = {Wireless Sensor Networks (WSNs) have become critical in applications such as environmental monitoring, healthcare, defense, and smart infrastructure. However, their open and resource-constrained nature makes them highly vulnerable to node replication (clone) attacks, which can compromise integrity, routing, and trust in the network. Traditional centralized solutions suffer from scalability and energy limitations, while many distributed methods incur high communication costs. This research introduces the Randomized Secure Detection (RSD) protocol, a decentralized and energy-aware solution for detecting clone attacks in static WSNs. By employing randomized multi-hop routing, adaptive claim broadcasting, and distributed witness selection, RSD effectively identifies malicious nodes without requiring heavy cryptographic operations. Simulation experiments in NS-2 confirm that RSD outperforms existing protocols such as RED and SET in terms of detection rate, energy efficiency, and false-positive control. Furthermore, RSD indirectly mitigates Sybil, selective forwarding, and sinkhole attacks, positioning it as a robust candidate for next-generation IoT-integrated WSN deployments. The proposed framework highlights a pathway toward scalable, lightweight, and resilient security for mission-critical wireless sensor applications.},
        keywords = {Wireless Sensor Networks (WSNs); Node Cloning Attack; Randomized Secure Detection (RSD); Distributed Security; Energy Efficiency; Intrusion Detection; Sybil Attack; IoT-WSN Integration.},
        month = {August},
        }