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              <text>The Various Challenges Involved in Sensor Based Cloud System to Protect the Data and to Avoid Attacks: A Technical Review</text>
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              <text>Cloud Computing; Data Confidentiality; Data Integrity, Access Control; Security Model; Sensor Network</text>
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              <text>In these studies, we introduce a unique protection framework for the integration of Wireless Sensor Networks (WSN) with cloud computing, aimed closer to enhancing statistics-centric programs consisting of far-flung healthcare structures. The framework's cornerstone is a robust, bendy safety version that ensures immoderate-degree information confidentiality, integrity, and terrific-grained get proper of access to control, addressing the important protection demanding situations in WSN-Cloud integration. By the use of a hybrid encryption mechanism that mixes the strengths of symmetric and uneven encryption techniques, our method gives a entire safety answer that protects information during transmission and garage. Furthermore, the version includes an efficient key manipulate gadget, facilitating the dynamic era and relaxed distribution of encryption keys. This contemporary framework is designed to mitigate common safety threats, such as Man-in-the-Middle (MITM) and Denial of Service (DoS) attacks, even as preserving the overall performance and standard performance of the blanketed gadget. Our research offers a massive contribution to securing statistics-centric packages in WSN-Cloud ecosystems, making sure dependable and comfortable facts verbal exchange and get right of entry to for a way off healthcare programs and past.  2024 IEEE.</text>
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              <text>Sharon Sophia J.; Thakur G.; Kapoor M.; Bhanu S.; Shnain A.H.; Bhavya K.</text>
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              <text>2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2024, pp. 924-928.</text>
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              <text>Institute of Electrical and Electronics Engineers Inc.</text>
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              <text>&lt;a href="https://doi.org/10.1109/ICACITE60783.2024.10616740" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/ICACITE60783.2024.10616740&lt;/a&gt;
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              <text>ISBN: 979-835036016-5</text>
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              <text>Sharon Sophia J., Christ (Deemed to Be) University, School of Business and Management, Bangalore Yeshwanthpur Campus, India; Thakur G., Uttaranchal University, Uttaranchal Institute of Technology, Department of Civil Engineering, Dehradun, 248007, India; Kapoor M., Chitkara University, Centre of Research Impact and Outreach, Punjab, Rajpura, 140401, India; Bhanu S., Cmr College of Engineering &amp;amp; Technology, Department of CSE(AI&amp;amp;ML), India; Shnain A.H., The Islamic University, Najaf, Iraq; Bhavya K., N.M.A.M Institute of Technology (Nitte Deemed to Be University), Department of Mathematics, Nitte, India</text>
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