Titlebook: Ubiquitous Security; First International Guojun Wang,Kim-Kwang Raymond Choo,Bruno Crispo Conference proceedings 2022 The Editor(s) (if app

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Generalizing Supervised Learning for Intrusion Detection in IoT Mesh Networks, generalize well for larger topologies with more IoT devices. We also show that when we train different machine learning methods on our dataset, the resulting intrusion detection systems achieve very high performance.

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A Backdoor Embedding Method for Backdoor Detection in Deep Neural Networks,n, speech recognition, and automatic driving. AI security is also becoming a burning problem. Because the deep learning model is usually regarded as a black box, it is susceptible to backdoor attacks that embed hidden patterns to impact the model prediction results. To promote backdoor detection res

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Active Malicious Accounts Detection with Multimodal Fusion Machine Learning Algorithm,algorithm to rank features’ importance and reduce the impact of redundant features. Then, we use density detection algorithms to monitor malicious accounts according to the actual situation and the cooperative behavior of malicious accounts. Finally, we employ neural network algorithms to make secon

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PUFloc: PUF and Location Based Hierarchical Mutual Authentication Protocol for Surveillance Drone N The main issues in a surveillance drone network are identification of valid drones, maintaining boundaries and information security along with physical security. To address these issues we are proposing a lightweight and secure drone-to-ground station and drone-to-drone mutual authentication protoc

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Smart Search over Encrypted Educational Resources in Cloud Storage,ored in the cloud server in the form of ciphertext for the sake of privacy protection. However, this is against the use of data. Currently, although the search schemes under ciphertext are primarily based on keywords, these schemes fail to reflect the actual needs of users well. Moreover, the qualit

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