Federated Threat-Hunting Approach for Microservice-Based Industrial Cyber-Physical System

Deep Learning with Differential Privacy

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Privacy-Preserving Federated Learning in Fog Computing

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IoT Microservice Deployment in Edge-Cloud Hybrid Environment Using Reinforcement Learning

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A Blockchain-Based Deep Learning Approach for Cyber Security in Next Generation Industrial Cyber-Physical Systems

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Elastic Scheduling for Microservice Applications in Clouds

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Sharing Distributed and Heterogeneous Resources toward End-to-End 5G Networks: A Comprehensive Survey and a Taxonomy

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Adaptive Microservice Scaling for Elastic Applications

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Distributed Redundancy Scheduling for Microservice-based Applications at the Edge

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Diminishing Returns and Deep Learning for Adaptive CPU Resource Allocation of Containers

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An ensemble deep learning model for cyber threat hunting in industrial internet of things

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Privacy-Preserving Federated Learning for Industrial Edge Computing via Hybrid Differential Privacy and Adaptive Compression

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Evolving techniques in cyber threat hunting: A systematic review

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A Survey on Threat Hunting in Enterprise Networks

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Efficient intrusion detection toward IoT networks using cloud–edge collaboration

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Dependable federated learning for IoT intrusion detection against poisoning attacks

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Federated learning: A cutting-edge survey of the latest advancements and applications

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Container security: Precaution levels, mitigation strategies, and research perspectives

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A Critical Overview of Industrial Internet of Things Security and Privacy Issues Using a Layer-Based Hacking Scenario

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FedMicro-IDA: A federated learning and microservices-based framework for IoT data analytics

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Automated federated learning for intrusion detection of industrial control systems based on evolutionary neural architecture search

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ACTA: Autonomy and Coordination Task Assignment in Spatial Crowdsourcing Platforms

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DetectPMFL: Privacy-Preserving Momentum Federated Learning Considering Unreliable Industrial Agents

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Microservices for Data Analytics in IoT Applications: Current Solutions, Open Challenges, and Future Research Directions

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IIoT: Traffic Data Flow Analysis and Modeling Experiment for Smart IoT Devices

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Federated Learning-Based Cyber Threat Hunting for APT Attack Detection in SDN-Enabled Networks

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Explainable artificial intelligence envisioned security mechanism for cyber threat hunting

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AI-powered cyber resilience: a reinforcement learning approach for automated threat hunting in 5G networks

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FedChain-Hunter: A reliable and privacy-preserving aggregation for federated threat hunting framework in SDN-based IIoT

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Federated Learning-Based Intrusion Detection in the Context of IIoT Networks: Poisoning Attack and Defense

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Cyber threat hunting using unsupervised federated learning and adversary emulation

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A Secure and Privacy Preserving Federated Learning Approach for IoT Intrusion Detection System

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Analysis of anomalous behaviour in network systems using deep reinforcement learning with convolutional neural network architecture

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Federated Intrusion Detection on Non-IID Data for IIoT Networks Using Generative Adversarial Networks and Reinforcement Learning

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Distributed Secure State Estimation and Attack Detection for Dynamical Systems With Attacks on a Time-Varying Sensor Set

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Federated Learning for 6G Security: A Survey on Threats, Solutions, and Research Directions

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Privacy-Prioritized Model Aggregation in ICPS: A Novel Approach to Federated Learning Aggregation With Lime and Blockchain

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Challenges and Opportunities in Mobile Network Security for Vertical Applications: A Survey

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Large-Scale Multiobjective Federated Neuroevolution for Privacy and Security in the Internet of Things

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A Comprehensive Survey of Threat Intelligence Research: A Measurement-Based Study

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GraphWatch: A Novel Threat Hunting Approach for APT Activities based on Anomaly Detection

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A Modular Encryption Framework in Cloud and Mobile Environments for Cybersecurity Solutions in Health Information

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Automated Emerging Cyber Threat Identification and Profiling based on Natural Language Processing using BERT Model

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Threat Hunting in System Using Log Analysis

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Blockchain-Based Federated Learning for Enhanced Cyber-Threats Detection in Connected Vehicles

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An Integrated Service Bus Based on Microservice

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Parameter Tuned Extreme Gradient Boosting Model for Industrial Threat Detection

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IIoT: Traffic Data Flow Analysis and Modeling Experiment for Smart IoT Devices

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Spatial Federated Learning Based Blockchain Mechanism for Smart Contract Vulnerability Detection

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Machine Learning for Industrial Iot Cybersecurity: A Systematic ReviewPreprint

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Technical Overview of Container Vulnerabilities

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Smart models for security enhancement in the internet of vehicles

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Secure and Cost-Efficient Microservice Placement in MEC Through Network-Aware Adaptation

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Cyber Sentry: Strengthening Security Infrastructure for Industrial Cyber-Physical Systems Using Federated Deep Learning

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DeepFed: Federated Deep Learning for Intrusion Detection in Industrial Cyber–Physical Systems

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Lightweight privacy-preserving federated deep intrusion detection for industrial cyber-physical system

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Trusted Microservice Orchestration for Secure Edge Computing in Industrial Cyber-Physical Systems

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Enhancing Federated Learning Based IDS in Industrial Cybernetic physical Framework

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