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Concept Drift Analysis and Malware Attack Detection System Using Secure Adaptive Windowing

  • Published:2023 Issue:2 Volume:75 Page:3743-3759
  • ISSN:1546-2226
  • Container-title:Computers, Materials & Continua
  • language:en
  • Short-container-title:

Author:

Alsuwat Emad,Solaiman Suhare,Alsuwat Hatim

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanics of Materials,Modeling and Simulation,Biomaterials

Reference20 articles.

1. Machine learning & concept drift based approach for malicious Website detection;Singhal,2020

2. Anomaly intrusion detection based on concept drift;Pradheep;Global Journal of Computer Science and Technology,2020

3. CADE: Detecting and explaining concept drift samples for security applications;Yang,2021

4. Modeling concept drift in the context of discrete Bayesian networks;Alsuwat,2019

5. Continuous detection of concept drift in industrial cyber-physical systems using closed-loop incremental machine learning;Jayaratne;Discover Artificial Intelligence,2021

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1. Evolving cybersecurity frontiers: A comprehensive survey on concept drift and feature dynamics aware machine and deep learning in intrusion detection systems;Engineering Applications of Artificial Intelligence;2024-11

2. Fast Learning Enabled by In-Network Drift Detection;Proceedings of the 8th Asia-Pacific Workshop on Networking;2024-08-03

3. An Efficient Routing Scheme Based on Node Density for Underwater Acoustic Sensors Networks;KSII Transactions on Internet and Information Systems;2024-05-31

4. An Integrative Theoretical Framework for Responsible Artificial Intelligence;International Journal of Digital Strategy, Governance, and Business Transformation;2023-12-15

5. Analyze textual data: deep neural network for adversarial inversion attack in wireless networks;SN Applied Sciences;2023-12
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