AIMC Topic: Computer Security

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Federated hierarchical MARL for zero-shot cyber defense.

PloS one Aug 8, 2025
Cyber defense systems face increasingly sophisticated threats that rapidly evolve and exploit vulnerabilities in complex environments. Traditional approaches which often rely on centralized monitoring and static rule-based detection, struggle to adap...
Algorithms Computer Security Humans Machine Learning
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Daily insider threat detection with hybrid TCN transformer architecture.

Scientific reports Aug 5, 2025
Internal threats are becoming more common in today's cybersecurity landscape. This is mainly because internal personnel often have privileged access, which can be exploited for malicious purposes. Traditional detection methods frequently fail due to ...
Algorithms Computer Security Humans Neural Networks, Computer
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A privacy preserving machine learning framework for medical image analysis using quantized fully connected neural networks with TFHE based inference.

Scientific reports Jul 30, 2025
Medical image analysis using deep learning algorithms has become a basis of modern healthcare, enabling early detection, diagnosis, treatment planning, and disease monitoring. However, sharing sensitive raw medical data with third parties for analysi...
Humans Image Processing, Computer-Assisted Confidentiality Privacy Computer Security Neural Networks, Computer Algorithms Machine Learning Deep Learning
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Blockchain framework with IoT device using federated learning for sustainable healthcare systems.

Scientific reports Jul 23, 2025
The Internet of Medical Things (IoMT) sector has advanced rapidly in recent years, and security and privacy are essential considerations in the IoMT due to the extensive scope and implementation of IoMT networks. Machine learning (ML) and blockchain ...
Confidentiality Internet of Things Machine Learning Delivery of Health Care Federated Learning Computer Security Blockchain Humans
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Enhancing IoT cybersecurity through lean-based hybrid feature selection and ensemble learning: A visual analytics approach to intrusion detection.

PloS one Jul 21, 2025
The dynamical growth of cyber threats in IoT setting requires smart and scalable intrusion detection systems. In this paper, a Lean-based hybrid Intrusion Detection framework using Particle Swarm Optimization and Genetic Algorithm (PSO-GA) to select ...
Internet of Things Computer Security Ensemble Learning Machine Learning Algorithms Humans
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Enhanced SVM-based model for predicting cyberspace vulnerabilities: Analyzing the role of user group dynamics and capital influx.

PloS one Jul 17, 2025
Amid substantial capital influx and the rapid evolution of online user groups, the increasing complexity of user behavior poses significant challenges to cybersecurity, particularly in the domain of vulnerability prediction. This study aims to enhanc...
Support Vector Machine Internet Computer Security Group Dynamics Humans Models, Theoretical
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A hybrid fog-edge computing architecture for real-time health monitoring in IoMT systems with optimized latency and threat resilience.

Scientific reports Jul 15, 2025
The advancement of the Internet of Medical Things (IoMT) has transformed healthcare delivery by enabling real-time health monitoring. However, it introduces critical challenges related to latency and, more importantly, the secure handling of sensitiv...
Humans Monitoring, Physiologic Internet of Things Computer Security Cloud Computing
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Fused federated learning framework for secure and decentralized patient monitoring in healthcare 5.0 using IoMT.

Scientific reports Jul 7, 2025
Federated Learning (FL) enables artificial intelligence frameworks to train on private information without compromising privacy, which is especially useful in the medical and healthcare industries where the knowledge or data at hand is never enough. ...
Federated Learning Monitoring, Physiologic Computer Security Machine Learning Delivery of Health Care Humans Artificial Intelligence
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Double reinforcement learning for cluster synchronization of Boolean control networks under denial of service attacks.

PloS one Jul 3, 2025
This paper investigates the asymptotic cluster synchronization of Boolean control networks (BCNs) under denial-of-service (DoS) attacks, where each state node in the network experiences random data loss following a Bernoulli distribution. First, the ...
Models, Theoretical Neural Networks, Computer Algorithms Computer Security Feedback
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False-positive tolerant model misconduct mitigation in distributed federated learning on electronic health record data across clinical institutions.

Scientific reports Jul 2, 2025
As collaborative Machine Learning on cross-institutional, fully distributed networks become an important tool in predictive health modeling, its inherent security risks must be addressed. One among such risks is the lack of a mitigation strategy agai...
Federated Learning Electronic Health Records ROC Curve False Positive Reactions Computer Security Machine Learning Humans Algorithms
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