Machine learning and data mining for emerging trend in cyber dynamics : theories and applications [E-Book] / edited by Haruna Chiroma, Shafi'i M. Abdulhamid, Philippe Fournier-Viger, Nuno M. Garci
This book addresses theories and empirical procedures for the application of machine learning and data mining to solve problems in cyber dynamics. It explains the fundamentals of cyber dynamics, and presents how these resilient algorithms, strategies, techniques can be used for the development of th...
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Full text |
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Personal Name(s): | Abdulhamid, Shafi'i M., editor |
Chiroma, Haruna, editor / Fournier-Viger, Philippe, editor / Garcia, Nuno M., editor | |
Edition: |
1st edition 2021 |
Imprint: |
Cham :
Springer,
2021
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Physical Description: |
1 Online-Ressource (VII, 315 Seiten) |
Note: |
englisch |
ISBN: |
9783030662882 |
DOI: |
10.1007/978-3-030-66288-2 |
Subject (LOC): |
- Generative Adversarial Network for the Detection of Ransomware in Cyber Dynamics
- Deep Learning for Blockchain Technologies: A Survey and Research Directions
- Deep Recurrent Neural Network for the Enhancement of Resource Allocation in Edge Computing
- Recommender Systems in the Next Generation Cloud Architectures
- Collusion Detection in the Internet of Vehicles Environment via Machine Learning Algorithms
- Mobile Cloud Computing Security Strategies Using Machine Learning Algorithms
- Resilient Edge Computing Devices Using Federated Learning Technique
- DeepFake: A Panacea for New Generation Simulated Videos
- Machine Learning-Based Malware Detection Systems in a Cyber-Physical Systems
- Support Vector Machine-Based Crypto-Locker Ransomware Attacks Detection with Grey-Wolf Optimization
- A Survey of Algorithms for Analysing Graph Data in the Cloud
- A Survey of Sequence Prediction Models to Predict Behaviour of Dynamic Systems
- Finding High Utility Patterns to Detect Network Attacks
- Authorship Attribution and User Profile Inference in Social Networks
- Deep Convolutional Neural Network for Data Analytics in the Cyber Dynamics.