Student Work (Thesis) | Part1 Homomorphic Encryption for IoT Security and Privacy | Tampere University

Student | Client Work (Thesis) | IoT Privacy with Homomorphic Encryption | Tampere University
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🚀 Video Details:

🔐 This video presents a student’s research thesis that investigates the powerful application of homomorphic encryption to tackle modern IoT security and privacy challenges. As IoT devices become deeply embedded in smart homes, healthcare systems, and industrial settings, traditional security methods are often insufficient due to their need for decryption during processing. This thesis explores how encrypted data can still be analyzed safely, maintaining confidentiality throughout.
📌 The study includes:
• A comprehensive literature review on homomorphic encryption in IoT
• Practical applications across smart homes, healthcare, and industry
• Ethical implications and data protection compliance
• Real-world deployment challenges like computational overhead

🧠 Perfect for students, researchers, and cybersecurity professionals exploring privacy-preserving machine learning, cryptographic innovation, and secure IoT ecosystems.

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