An AI-driven framework for intrusion detection and predictive threat modeling in UAV ecosystem

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Modeling and optimizing IoT-driven autonomous vehicle transportation systems using intelligent multimedia sensors

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Real-time threat detection and AI-driven predictive security for consumer applications

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SMOTE: synthetic minority over-sampling technique

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Enhancing vehicular network security, privacy, and trust through reinforcement learning: a comprehensive survey

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RHAD: a reinforced heterogeneous anomaly detector for robust industrial control system security

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Transforming security in internet of medical things with advanced deep learning-based intrusion detection frameworks

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Multi-attention DeepCRNN: an efficient and explainable intrusion detection framework for Internet of medical things environments

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Multi-layered security architecture for iomt systems: integrating dynamic key management, decentralized storage, and dependable intrusion detection framework

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Integrating embedded cyber-physical systems in smart energy for AI-enhanced real-time crowd monitoring and threat detection

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Lightweight fuzzy-driven intrusion detection for consumer life-tech applications

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A resource-efficient federated learning framework for intrusion detection in IoMT networks

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Securing the future: AI-driven cybersecurity in the age of autonomous IoT

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Intrusion detection using metaheuristic optimization within iot/iiot systems and software of autonomous vehicles

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An adaptive intrusion detection system for WSN using reinforcement learning and deep classification

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Agent-based dynamic thresholding for adaptive anomaly detection using reinforcement learning

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Securing UAV swarms with vision transformers: a byzantine-robust federated learning framework for cross-modal intrusion detection

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Self-learning model fusion for network anomaly detection: a hybrid CNN-LSTM-transformer framework

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Enhanced intrusion detection in drone networks: a cross-layer convolutional attention approach

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A lightweight framework to secure IoT devices with limited resources in cloud environments

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FIR-GNN: a graph neural network using flow interaction relationships for intrusion detection of consumer electronics in smart home network

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Artificial intelligence-augmented smart grid architecture for cyber intrusion detection and mitigation in electric vehicle charging infrastructure

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Predictive cybersecurity risk modeling in healthcare by leveraging AI and machine learning for proactive threat detection

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Supervised machine learning for real-time intrusion attack detection in connected and autonomous vehicles: a security paradigm shift

10.3390/informatics12010004 · doi-reference

Autonomous vehicle security: hybrid threat modeling approach

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Intelligent cyber-attack detection for autonomous vehicles using advanced deep learning models

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