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                <text>Faculty Publications</text>
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    <name>Conference Paper</name>
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              <text>Srivastava, Durgesh; Cynthia, C.; Vivek Kumar, M.; Gupta, Rishi; Garg, Amit</text>
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              <text>An Improved Security Framework for Vulnerable Intrusions in High Dense Fog Networks</text>
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              <text>01-01-2025</text>
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              <text>Lecture Notes in Networks and Systems;Volume;1278;pp.445-459</text>
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              <text>&lt;a href="https://doi.org/10.1007/978-981-96-2703-5_30" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/978-981-96-2703-5_30&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105006915447?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105006915447?origin=resultslist&lt;/a&gt;</text>
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              <text>Srivastava D., Institute of Engineering and Technology, Chitkara University, Chitkara University, Punjab, Rajpura, India; Cynthia C., Department of Computer Science, Christ University, Karnataka, Bengaluru, India; Vivek Kumar M., Department of Electronics and Communication Engineering, Sri Eshwar College of Engineering, Tamil Nadu, Coimbatore, India; Gupta R., Department of Computer Science and Engineering, Manipal University Jaipur, Rajasthan, Jaipur, India; Garg A., Department of Computer Science and Engineering, Manipal University Jaipur, Rajasthan, Jaipur, India</text>
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              <text>This work presents an advanced security model to prevent vulnerable invasions through highly dense fog networks. Advantages: One of the strengths that fog computing has revealed is how beneficial its native design can be, but on the other hand, one critical aspect to keep in mind is that it brings several fresh security subjects because of its extremely dynamic and decentralized nature. The framework uses anomaly detection and secure communication protocols to identify the potential intrusion into a network. This also includes clustering fog nodes and more frequent network updates to improve security across the whole network. We evaluate our framework by implementing it in simulation experiments. We show that communication among existing trusted peers can be enhanced, whereas non-trusted sources entering the network cannot conduct attacks. Generally, this framework provides an attractive approach to improve fog networks security and renders them more attack-resistant.  The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.</text>
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              <text>Cloud computing; Fog computing; High dense fog networks; Network security; Security framework; Vulnerable intrusions</text>
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          <name>Publisher</name>
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              <text>Springer Science and Business Media Deutschland GmbH</text>
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              <text>ISSN: 23673370; ISBN: 978-981962702-8;</text>
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              <text>Restricted Access; Hardcopy may be available in the library</text>
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