An Optimized Security Framework for Global IoT Communication using Software-Defined Networking (SDN) in Adversarial Environments
Gaurav Gondhalekar, G Vasukidevi, Lydia D. Isaac, Rohit Kumar Vyas, Arun Raj S R, Anil Kumar N · 2023
One of the primary objectives of the proposed framework is to strike a balance between security and data propagation performance. As IoT applications span across vast and heterogeneous environments, ensuring data security without compromising communication efficiency becomes critical. By emphasizing the importance of balancing these two aspects, the framework seeks to overcome the limitations of previous security approaches that might be overly focused on either security or data propagation. The framework specifically addresses adversarial environments, acknowledging the potential threats and challenges posed by unknown types of adversaries. By incorporating SDN, the approach allows for adaptability and responsiveness in the face of evolving security threats, making it well-suited for real-world IoT deployments. The chapter delves into the intricacies of the unique SDN design tailored for IoT applications. It discusses the rationale behind choosing SDN as a foundation for the security framework and justifies its applicability in diverse IoT scenarios. By highlighting the potential advantages of SDN-based security over conventional approaches, the research underscores the innovation and efficacy of the proposed model. Overall, the abstract introduces a cutting-edge research approach that aims to address the pressing need for enhanced security in IoT. By leveraging Software-Defined Networking and striking a balance between security and data propagation performance, the proposed framework holds promise for securing IoT communication in global and challenging environments. The chapter provides valuable insights into the unique SDN design for IoT, fostering understanding and exploration of this novel security approach.