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@article{183034,
        author = {Manisha Kumari and Dr. Jagdev Singh Rana},
        title = {Recent Analysis on Challenges of Detecting Black Hole Attacks in  Wireless Sensor Networks},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {3},
        pages = {128-134},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=183034},
        abstract = {Wireless Sensor Networks (WSNs) are widely used for real-time monitoring in diverse fields, but their open and resource-constrained nature makes them vulnerable to various security threats, notably black hole attacks. In a black hole attack, a malicious node falsely advertises itself as an optimal route and absorbs all data packets, leading to severe data loss and network disruption. Detecting such attacks is challenging due to limited node resources, dynamic network topology, difficulty in distinguishing between genuine and malicious behavior, scalability issues, and the rise of sophisticated cooperative attacks. This paper reviews the main challenges in detecting black hole attacks and critically analyses existing detection techniques, including trust-based, anomaly-based, IDS, clustering, and mobile agent-based approaches. The strengths and limitations of each method are discussed. The paper concludes by highlighting suggesting future directions for developing lightweight, accurate, and adaptive detection mechanisms suited for real-world WSN deployments.},
        keywords = {Wireless Sensor Networks (WSNs), Black Hole Attack, Security, Intrusion Detection, Packet Loss, Energy Efficiency},
        month = {July},
        }