Daily MDOI Identifier Registry

Defending federated learning against adversarial attacks: A systematic literature review

Defending federated learning against adversarial attacks: A systematic literature review

Trustworthy Companion AI for Human-Aware Transition of Control: Motivation, Architecture, and Research Roadmap

Frame-Level Accident Recognition via Detection Confidence Aggregation: A Cross-Domain Validation Framework for Thai Roadway Surveillance

A Contactless Edge-AI Prototype for Simulated Apnea-like Respiratory Suppression and Motion Artifact Detection Using 60 GHz FMCW Radar

Temporal Attention and Convolutional Tokenization for Interpretable EEG-Based ADHD Identification in Children

A robust audio watermarking method based on dual-encoder U-Net and short-time Fourier transform

When semantic plausibility becomes a liability: LLM-based phishing detection from an adversarial asymmetry perspective

An intelligent authentication & intrusion detection system for securing advanced metering infrastructure

An intelligent authentication & intrusion detection system for securing advanced metering infrastructure

AIoT Ecosystem for Intelligent Water Quality Monitoring Through Edge Processing and Generative Artificial Intelligence

Explainable Artificial Intelligence for Skin Lesion Classification: A Comprehensive Review of Methods and Challenges

A multi-receiver and multi-message anonymous ID-based hybrid signcryption scheme for secure data transmission

Metaheuristic-driven neural architecture search for deep learning-based side-channel analysis

MedicalFuzzySec: A novel steganography technique using fuzzy logic to secure electronic patient data (EPD) concealment in medical images

Design of distributed denial-of-service attack prevention mechanism for IoT-driven data fusion system

Intelligent phishing website detection: A CNN-SVM approach with nature-inspired hyperparameter tuning

Advancements in secure quantum communication and robust key distribution techniques for cybersecurity applications

PASTAD: A Context-Aware Threat Modeling Methodology for Unmanned Aerial Systems

Explainable AI and machine learning for robust cybersecurity in smart cities

Blockchain-integrated image steganography using xDoG edge detection for authentication

Sysmon event logs for machine learning-based malware detection

Psychological, Social, and Religious Factors Influencing Divorce among Christian Couples in Sub-Saharan Africa

Spiritual Commitment, Religious Practices, and Marital Stability among Christian Couples across Different Cultural Contexts: A Systematic Review

Adaptive steganography based on motion vectors for H.264/AVC

Lyric-based passwords: Enhancing security and recall with AI

Autonomous identity-based threat segmentation for zero trust architecture

An ensemble learning framework for enhanced anomaly and failure detection in IoT systems

Secure and efficient drug supply chain management system: Leveraging polymorphic encryption, blockchain, and cloud storage integration

Public-Key replacement attacks on lightweight authentication schemes for resource-constrained scenarios

CNN Based Deep Learning Modeling with Explainability Analysis for Detecting Fraudulent Blockchain Transactions

Survey of deep learning approaches for securing industrial control systems: A comparative analysis

A novel approach based on XGBoost classifier and Bayesian optimization for credit card fraud detection

Leveraging federated learning for DoS attack detection in IoT networks based on ensemble feature selection and deep learning models

Security analysis of the open banking account and transaction API protocol

Multimodal deep neural network for UAV GPS jamming attack detection

An explainable ensemble-based intrusion detection system for software-defined vehicle ad-hoc networks

Enhancing security in IIoT: RFID authentication protocol for edge computing and blockchain-enabled supply chain

Cyber intrusion detection using ensemble of deep learning with prediction scoring based optimized feature sets for IOT networks

Leveraging blockchain for robust and transparent E-voting systems

Deep learning-driven defense strategies for mitigating DDoS attacks in cloud computing environments

Privacy-preserving security of IoT networks: A comparative analysis of methods and applications

Earthworm optimization algorithm based cascade LSTM-GRU model for android malware detection

A survey on intrusion detection system in IoT networks

Bankruptcy forecasting in enterprises and its security using hybrid deep learning models

Comparison of mitigating DDoS attacks in software defined networking and IoT platforms

Enhancing cybersecurity resilience through advanced red-teaming exercises and MITRE ATT&CK framework integration: A paradigm shift in cybersecurity assessment

Software defined network and graph neural network-based anomaly detection scheme for high speed networks

A comprehensive literature review on ransomware detection using deep learning

Novel hybrid deep learning based cyber security threat detection model with optimization algorithm