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              <text>Lightweight Sybil attack detection framework for wireless sensor network with cluster topology</text>
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              <text>The development of communication and networking technology has made it possible for wireless sensor networks to play a significant role in many fields. Wireless sensor networks are vulnerable to a variety of security threats because of their remote hostile features. The Sybil attack, which generates several identities to gain access to wireless sensor networks, is one such devastating but simple to spread exploit. This Paper proposes a novel identity and trust-based system to ensure protection against Sybil attacks. Analysis of the RSSI and location parameter increases the accuracy. It recognises the attackers and broadcasts information about them to all adjacent sensor nodes. Additionally, it offers other crucial security features.   2025 Author(s).</text>
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              <text>Venugopal S.; Auxilia M.A.E.; Dhanusgodi V.</text>
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              <text>AIP Conference Proceedings, Vol-3159, No. 1</text>
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              <text>American Institute of Physics</text>
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              <text>&lt;a href="https://doi.org/10.1063/5.0247037" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1063/5.0247037&lt;/a&gt;
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              <text>ISSN: 0094243X</text>
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              <text>Venugopal S., Department of MCA, S.A. Engineering College, Tamilnadu, Chennai, India; Auxilia M.A.E., Department of CSE, School of Engineering and Technology, Christ University, Bengaluru, India; Dhanusgodi V., Department of CSE, School of Engineering and Technology, Christ University, Bengaluru, India</text>
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