A Secure Recommender System Model for Service Placement in Wireless Networks

Edge or fog computing is being used to reduce latency between end devices and traditional cloud computing. The latest developments that have improved the hardware aspects of wireless sensors and mobile networks, allowed other enhancements if such technologies are integrated between them. Regarding this enhanced heterogeneous environment, the approach of placing services needs to reconsider the cybersecurity aspects. Reviewing the related work on service placement and clustering, we have seen that no technique could be used as a template for finding the most valuable node about its cybersecurity metrics when multi-tier computing networks are used. So, we have developed a baseline method of a solution that fulfills the cybersecurity requirements converging with a proposed integrated multi-tier wireless networking model. This is achieved by enhancing the K-means algorithm with added processing steps. Initially, Kmeans clustering is executed, then three more specific parameters will define the cluster members' status, respectively about its confidentiality, integrity, and availability. The summarized results provided at the end of the process determine the most trusted cluster member within a cluster of 50 networked nodes which is recommended to serve as a node for placing securely the requested service. Results show that our proposal stands and that further studies based on this approach have enough arguments to be researched. © 2023, International Journal of Interactive Mobile Technologies. All Rights Reserved.