Covert Timing Channel Attack Detection and Localization Using Machine Learning Frameworks

Optimal Number of Relays in Cooperative Communication in Wireless Sensor Networks

Computer Science

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• Convolutional Neural Network Structure to Detect and Localize CTC Using Image Processing
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• SnapCatch: Automatic Detection of Covert Timing Channels Using Image Processing and Machine Learning
  IEEE Access (2020)
• An Integrated Deep Learning Framework for DetectingBotnets, Zero-Day Exploits, and Side-Channel Attacks inNetwork Traffic
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• Image-Based Hybrid Learning Framework for Ransomware Detection
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• Efficient Hybrid Model for Ransomware Detection Using Machine Learning Techniques
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• Comparative Analysis of Sequential and Parallel Computing for Object Detection Using Deep Learning Model
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• Comparative Analysis Study for Air Quality Prediction in Smart Cities Using Regression Techniques
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• A Deep Learning Framework for Arabic Cyberbullying Detection in Social Networks
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• LinguTimeX a Framework for Multilingual CTC Detection Using Explainable AI and Natural Language Processing
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• Covert Timing Channel Analysis Either as Cyber Attacks or Confidential Applications
  Sensors (2020)
• A Deep Learning Framework for Covert Timing Channel Detection Using Gramian Angular Field and Markov Transition Field Fusion and Convolutional Neural Networks
  International Journal of Safety and Security Engineering (2026)