Biblio

Cloud computing provides a shared pool of resources for large-scale distributed applications. Recent trends such as fog computing and edge computing spread the workload of clouds closer towards the edge of the network and the users. Exploiting the edge resources efficiently requires managing the resources and directing user traffic to the correct edge servers. In this paper we propose to profile and group users according to their interest profiles. We consider edge caching as an example and through our evaluation show the potential benefits of directing users from the same group to the same caches. We investigate a range of workloads and parameters and the same conclusions apply. Our results highlight the importance of grouping users and demonstrate the potential benefits of this approach.

Mobile radio frequency identification (RFID) systems are being employed in many applications such as supply chain management. Since the communications between RFID-reader and server, RFID-tag and RFID-reader are all wireless, security and privacy attracts more attentions, reflected in the research on authentication protocols. But most of the existing authentications only care about the front end (reader to tag) and ignore the back end (reader to server), which could not satisfy the security demands in the mobile RFID systems. Moreover, the tags have to be grouped when the population is large enough, but the existing authentication protocols are inapplicable in this scenario. In this paper, we propose a mixed authentication protocol composed of hash-based authentication for readers and lightweight authentication for low-cost tags to fit the mobile RFID system with grouping tags. Analysis demonstrates that the proposed authentication protocol could efficiently counteract the impersonation attack, reply attack and tracking attack.