Titlebook: Security in Computing and Communications; 8th International Sy Sabu M. Thampi,Guojun Wang,Chun-I Fan Conference proceedings 2021 Springer N

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Chinmay D. Kuchinad,N. Chiranjeevi,Kartik Vishnu Hegde,Shikha Tripathic growth and development. In response to this, national collections of historical statistics began to make their appearance from the late 1940s onwards. Towards the end of the 1960s, it seemed that the time was ripe for gathering together the main statistical series for all major countries of the wo

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Naga Venkata Hrushikesh Chunduri,Ashok Kumar Mohanlmost entirely derived by Professor Bairoch and his colleagues from national censuses of population. Therefore the problems of accuracy referred to in the last section also appear here. A more significant difficulty is the very considerable variations which have occurred in classifications, both bet

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Deep Hierarchical App Recommendation with Dynamic Behaviors,tion Model (UHAM for short), it exploits the user attribute layering method to make hierarchical recommendation for users in different age groups, which further enhance the efficiency. We conduct extensive experiments with a real app dataset, and the results validate the effectiveness of our model.

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New Security Architecture of Access Control in 5G MEC,f MEC-hosted services. We consider a series of several use cases with increasing demands on network data resources and computing power. Finally, we present a sample protocol diagram for gaining access to resources (authentication in a service using MEC technology) in our access control architecture.

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Trust-Based Adversarial Resiliency in Vehicular Cyber Physical Systems Using Reinforcement Learningcular network. In this paper, a data-oriented trust-based method for improving the resiliency of vehicles to adversarial attacks is investigated using RL. Improving on other works that combine direct and indirect trusts and assume that vehicles interact for a long time, this method is suited for the

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