Citation:
John Smith, Syed Ali Fathima, "Securing IoT Networks in Smart Homes: Advanced Encryption Techniques and Authentication Protocols" International Journal of Multidisciplinary on Science and Management, pp. 1-8, 2024.
Abstract:
The rapid proliferation of Internet of Things (IoT) devices in smart homes has introduced significant security and privacy challenges. These devices often operate in resource-constrained environments, making traditional security measures insufficient. This paper explores advanced encryption techniques and authentication protocols tailored for securing IoT networks in smart homes. We discuss symmetric and asymmetric encryption mechanisms, including AES, ECC, and lightweight cryptographic solutions. Additionally, we examine authentication protocols such as two-factor authentication, blockchainbased identity management, and zero-trust architectures. The study highlights the importance of adaptive security frameworks to mitigate threats such as unauthorized access, data breaches, and man-in-the-middle attacks. By implementing robust encryption and authentication strategies, smart home ecosystems can achieve enhanced security and resilience against cyber threats.
Keywords:
Accelerated Stability Testing (AST), Statistical Modeling, Artificial Intelligence (AI), Pharmaceutical Stability Prediction, Machine Learning in Drug Development
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