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A hybrid deep learning based intrusion detection system using spatial-temporal representation of in-vehicle network traffic.

, , , , , and . Veh. Commun., (2022)

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Cybersecurity data science: an overview from machine learning perspective., , , , , and . J. Big Data, 7 (1): 41 (2020)Design and Evaluation of an Augmented Reality Game for Cybersecurity Awareness (CybAR)., and . Inf., 11 (2): 121 (2020)An Introduction to Person Re-identification with Generative Adversarial Networks., , and . CoRR, (2019)A White Shark Equilibrium Optimizer with a Hybrid Deep-Learning-Based Cybersecurity Solution for a Smart City Environment., , , , , and . Sensors, 23 (17): 7370 (September 2023)Hybrid CNN-GRU Framework with Integrated Pre-trained Language Transformer for SMS Phishing Detection., , , and . ICFNDS, page 244-251. ACM, (2021)Multi Facet Face Construction., and . ACPR (2), volume 12047 of Lecture Notes in Computer Science, page 362-370. Springer, (2019)Does Decision-Making Style Predict Individuals' Cybersecurity Avoidance Behaviour?, and . HCI (30), volume 12210 of Lecture Notes in Computer Science, page 32-50. Springer, (2020)Chaotic Mapping Lion Optimization Algorithm-Based Node Localization Approach for Wireless Sensor Networks., , , , , and . Sensors, 23 (21): 8699 (October 2023)Factors Affecting Acceptance of a Mobile Augmented Reality Application for Cybersecurity Awareness., and . ICVARS, page 18-26. ACM, (2020)iMAP-CampUS: Developing an Intelligent Mobile Augmented Reality Program on Campus as a Ubiquitous System., and . ICCAE, page 1-5. ACM, (2017)