Secure IoT Communication in Distributed Systems Using Adaptive Symmetric Key Encryption
Keywords:
IoT Security, Adaptive Encryption, Symmetric Key Cryptography, Distributed Systems, Secure Communication, Lightweight Encryption, Key Management, Data Privacy, Network Security, Smart SystemsAbstract
The rapid proliferation of Internet of Things (IoT) devices in distributed systems has significantly enhanced connectivity and real-time data exchange across diverse applications such as smart cities, healthcare, and industrial automation. However, this widespread deployment introduces critical challenges related to data security, privacy, and efficient communication, particularly in resource-constrained and heterogeneous environments. Traditional encryption techniques often fail to meet the dynamic requirements of IoT systems due to their computational overhead and lack of adaptability. This paper proposes a novel approach for secure IoT communication in distributed systems using adaptive symmetric key encryption, which dynamically adjusts encryption parameters based on network conditions, device capabilities, and data sensitivity. The proposed system employs a lightweight symmetric encryption mechanism combined with an adaptive key generation and management strategy to ensure secure data transmission while minimizing computational and energy costs. The framework integrates real-time monitoring and intelligent decision-making to optimize encryption strength, thereby achieving a balance between security and performance. Furthermore, the system incorporates robust authentication protocols and secure key distribution techniques to prevent unauthorized access and mitigate common attacks such as replay attacks, man-in-the-middle attacks, and data tampering. Experimental evaluation demonstrates that the proposed approach significantly improves communication efficiency, reduces latency, and enhances overall system security compared to conventional methods. The results indicate that adaptive symmetric key encryption is a promising solution for securing communication in distributed IoT environments, offering scalability, flexibility, and resilience against evolving cyber threats. This work contributes toward the development of intelligent, secure, and efficient IoT communication frameworks for next-generation distributed systems.
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