Abstract In an integrated network, seamless communication among all entities is essential. Personalized data transmitted to consumers through open private networks must remain visible while upholding privacy standards. In information-centric or data-centric delivery networks, data distribution predominantly involves exchanging information with third-party entities, potentially compromising privacy. Additionally, overseeing and managing such networks can impose overhead on network administrators. So, in this paper, a novel consumer-centric content delivery network is proposed to handle the distribution of individualized information in the Internet of Things (IoT) network while protecting users' location and authenticity. Here, a higher range of personalization and privacy of the user is maintained by integrating the Software-Defined Networks (SDN) with the consumer-centric content delivery network (CCDN). For IoT networks, CCDN uses SDN, which strongly complies with specified user requirements and preferences. The SDN provides innovative solutions and enriches the overall performance of the IoT network by controlling the network devices. After that, the swiftness in the user-centric request processing is enhanced by the Optimal Concurrent Service Access and Management Framework (OCSAMF). The service usage rate and access rate of the requesting user in the IoT are enhanced by a linear and differential learning process involved in the OCSAMF. The performance of the OCSAMF is enhanced by optimizing the attributes via the Hybrid Gaining–Sharing Knowledge and Ship Rescue Optimization (HGKSO). Finally, the proposed model is tested with the prior works to prove its effectiveness.
Kannan et al. (Tue,) studied this question.