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              <text>Securing Trust in the Connected World: Exploring IoT Security for Privacy in Connected Environments</text>
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              <text>Bitcoin; Machine learning; Prediction; price</text>
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              <text>This abstract delves into IoT security measures to ensure privacy in connected environments. It examines encryption, authentication, access control, and data privacy techniques. Key considerations include end-to-end security, vulnerability mitigation, regulatory compliance, and user trust. By addressing these challenges, trust can be established in the connected world, enabling the widespread adoption of IoT technologies while safeguarding user privacy.   2024 IEEE.</text>
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              <text>Sheetal; Deepa; Alli A.</text>
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              <text>TQCEBT 2024 - 2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies 2024</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/TQCEBT59414.2024.10545235" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/TQCEBT59414.2024.10545235&lt;/a&gt;
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              <text>ISBN: 979-835038427-7</text>
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              <text>Sheetal, Presidency College, Department of Computer Applications, Bengaluru, India; Deepa, Christ University, Department of Computer Science, Bengaluru, India; Alli A., Presidency College, Department of Computer Applications, Bengaluru, India</text>
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