Machine Learning and Data Mining for Emerging Trend in Cyber Dynamics

Machine Learning and Data Mining for Emerging Trend in Cyber Dynamics

Theories and Applications

Chiroma, Haruna; Fournier-Viger, Philippe; Garcia, Nuno M.; Abdulhamid, Shafi'i M.

Springer Nature Switzerland AG

04/2022

315

Mole

Inglês

9783030662905

15 a 20 dias

498

Descrição não disponível.
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.
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Deep learning;Machine learning;Cybersecurity;Artificial Neural Networks;Internet of Things;Information security;Cloud computing;Malware Detection;Big data security;Blockchain