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Titlebook: Wireless Algorithms, Systems, and Applications; 17th International C Lei Wang,Michael Segal,Tie Qiu Conference proceedings 2022 The Editor(

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Inferring Device Interactions for Attack Path Discovery in Smart Home IoTchannels (e.g., temperature, smoke). Meanwhile, device interactions can be maliciously exploited to launch IoT attacks. However, limited efforts explore whether it is feasible to discover potential exploitable device interactions from IoT deployments. This paper proposes a novel framework to .etect
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A Prototype System for Blockchain Performance EvaluationExisting open source projects do not support modifications to the underlying blockchain, and existing blockchain simulators only focus on a single blockchain system and cannot flexibly extend or replace models. Regarding the issues above, this paper proposes a prototype system for blockchain perform
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A Spatial-Temporal Convolutional Model with Improved Graph Representationre the traffic status. Traffic flow prediction can not only provide a scientific basis for traffic managers but also support other road services. This work proposes a spatial-temporal convolutional neural network with improved graph representation (IGR-TCN) for predicting urban traffic flow, which s
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A Proof-of-Weighted-Planned-Behavior Consensus for Efficient and Reliable Cyber-Physical Systemsformance issues exist when blockchain and cyber-physical systems are integrated. In this paper, we design a blockchain-enabled cyber-physical system, where a new blockchain consensus is used to solve the problems of reliability and system performance. Firstly, an autonomous consensus mechanism calle
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E2M: Evolving Mobility Modeling in Metropolitan-Scale Electric Taxi Systemswith time, it is usually hard to obtain a large-scale and evolving mobility dataset due to various factors such as social and privacy concerns. In this paper, we focus on modeling the evolving mobility of metropolitan-scale electric taxis (ETs), which have different mobility patterns with petroleum
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