IoT devices are increasingly being implicated in cyber-attacks, raising community concern about the risks they pose to critical infrastructure, corporations, and citizens. In order reduce this risk, IETF is pushing vendors develop formal specifications of intended purpose their devices, form a Manufacturer Usage Description (MUD), so that network behavior any operating environment can be locked...

Multi-behavior recommendation exploits multiple types of user-item interactions, such as view and cart , to learn user preferences has demonstrated be an effective solution alleviate the data sparsity problem faced by traditional models that often utilize only one type interaction for recommendation. In real scenarios, users take a sequence actions interact with item, in order get more informat...

Laboratory studies of social behavior have typically focused on dyadic interactions occurring within a limited spatiotemporal context. However, this strategy prevents analyses of the dynamics of group social behavior and constrains identification of the biological pathways mediating individual differences in behavior. In the current study, we aimed to identify the spatiotemporal dynamics and hi...

in this paper, an anomaly detection method in cluster-based mobile ad hoc networks with ad hoc on demand distance vector (aodv) routing protocol is proposed. in the method, the required features for describing the normal behavior of aodv are defined via step by step analysis of aodv and independent of any attack. in order to learn the normal behavior of aodv, a fuzzy averaging method is used fo...