AIMC Topic: Computer Security

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Deep learning-based encryption scheme for medical images using DCGAN and virtual planet domain.

Scientific reports Jan 7, 2025
The motivation for this article stems from the fact that medical image security is crucial for maintaining patient confidentiality and protecting against unauthorized access or manipulation. This paper presents a novel encryption technique that integ...
Confidentiality Computer Security Algorithms Deep Learning Image Processing, Computer-Assisted Diagnostic Imaging Humans
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mDARTS: Searching ML-Based ECG Classifiers Against Membership Inference Attacks.

IEEE journal of biomedical and health informatics Jan 7, 2025
This paper addresses the critical need for elctrocardiogram (ECG) classifier architectures that balance high classification performance with robust privacy protection against membership inference attacks (MIA). We introduce a comprehensive approach t...
Signal Processing, Computer-Assisted Computer Security Algorithms Electrocardiography Humans Neural Networks, Computer Machine Learning
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Managing emergency crises using secure information through educational awareness: COVID-19 case study.

Computers in biology and medicine Jan 3, 2025
Social networks are increasingly taking over daily life, creating a volume of unsecured data and making it very difficult to capture safe data, especially in times of crisis. This study aims to use a Convolutional Neural Network (CNN)-Long Short-Term...
Neural Networks, Computer COVID-19 Humans Computer Security SARS-CoV-2 Social Media
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Spectral adversarial attack on graph via node injection.

Neural networks : the official journal of the International Neural Network Society Jan 1, 2025
Graph Neural Networks (GNNs) have shown remarkable achievements and have been extensively applied in various downstream tasks, such as node classification and community detection. However, recent studies have demonstrated that GNNs are vulnerable to ...
Neural Networks, Computer Algorithms Computer Security
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Feature efficiency in IoMT security: A comprehensive framework for threat detection with DNN and ML.

Computers in biology and medicine Jan 1, 2025
BACKGROUND: To address critical security challenges in the Internet of Medical Things (IoMT), this study develops a feature selection framework to improve detection accuracy and computational efficiency in IoMT cybersecurity. By optimizing feature se...
Computer Security Neural Networks, Computer Machine Learning Support Vector Machine Internet of Things Humans
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Towards secure and trusted AI in healthcare: A systematic review of emerging innovations and ethical challenges.

International journal of medical informatics Dec 30, 2024
INTRODUCTION: Artificial Intelligence is in the phase of health care, with transformative innovations in diagnostics, personalized treatment, and operational efficiency. While having potential, critical challenges are apparent in areas of safety, tru...
Artificial Intelligence Delivery of Health Care Computer Security Humans Trust Confidentiality
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Utilizing Artificial neural networks (ANN) to regulate Smart cities for sustainable Urban Development and Safeguarding Citizen rights.

Scientific reports Dec 30, 2024
The advent of smart cities has brought about a paradigm shift in urban management and citizen engagement. By leveraging technological advancements, cities are now able to collect and analyze extensive data to optimize service delivery, allocate resou...
Urban Renewal Sustainable Development Computer Security Neural Networks, Computer Cities Humans Community Participation Privacy
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Quantum-resilient software security: A fuzzy AHP-based assessment framework in the era of quantum computing.

PloS one Dec 30, 2024
The introduction of quantum computing has transformed the setting of information technology, bringing both unprecedented opportunities and significant challenges. As quantum technologies continue to evolve, addressing their implications for software ...
Algorithms Quantum Theory Fuzzy Logic Software Computer Security
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H control for fractional order neural networks with uncertainties subject to deception attacks via Improved memory-event-triggered scheme and Its application.

Neural networks : the official journal of the International Neural Network Society Dec 28, 2024
The article discusses an improved memory-event-triggered strategy for H control class of fractional-order neural networks (FONNs) with uncertainties, which are vulnerable to deception attacks. The system under consideration is simultaneously influenc...
Computer Security Memory Humans Algorithms Neural Networks, Computer Uncertainty Deception
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Preserving privacy in healthcare: A systematic review of deep learning approaches for synthetic data generation.

Computer methods and programs in biomedicine Dec 28, 2024
BACKGROUND: Data sharing in healthcare is vital for advancing research and personalized medicine. However, the process is hindered by privacy, ethical, and legal challenges associated with patient data. Synthetic data generation emerges as a promisin...
Algorithms Delivery of Health Care Deep Learning Confidentiality Humans Computer Security Privacy Information Dissemination
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