Detection of Malware by Deep Learning as CNN-LSTM Machine Learning Techniques in Real Time

Robust graph regularization nonnegative matrix factorization for link prediction in attributed networks

(2022) Elahe Nasiri et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Unsupervised deep learning approach for network intrusion detection combining convolutional autoencoder and one-class SVM

(2021) Adel Binbusayyis et al.   APPLIED INTELLIGENCE

MVDF-RSC: Multi-view data fusion via robust spectral clustering for geo-tagged image tagging

(2021) Mona Zamiri et al.   EXPERT SYSTEMS WITH APPLICATIONS

Deep Learning-Based Framework for the Detection of Cyberattack Using Feature Engineering

(2021) Muhammad Shoaib Akhtar et al.   Security and Communication Networks

A preference random walk algorithm for link prediction through mutual influence nodes in complex networks

(2021) Kamal Berahmand et al.   Journal of King Saud University-Computer and Information Sciences

MF-CNN: a New Approach for LDoS Attack Detection Based on Multi-feature Fusion and CNN

(2020) Dan Tang et al.   MOBILE NETWORKS & APPLICATIONS

Review of intrusion detection systems based on deep learning techniques: coherent taxonomy, challenges, motivations, recommendations, substantial analysis and future directions

(2019) A. M. Aleesa et al.   NEURAL COMPUTING & APPLICATIONS

Deep learning for cyber security intrusion detection: Approaches, datasets, and comparative study

(2019) Mohamed Amine Ferrag et al.   Journal of Information Security and Applications

Machine learning-assisted signature and heuristic-based detection of malwares in Android devices

(2018) Zahoor-Ur Rehman et al.   COMPUTERS & ELECTRICAL ENGINEERING

Enhanced Network Anomaly Detection Based on Deep Neural Networks

(2018) Sheraz Naseer et al.   IEEE Access

Cybersecurity: The cold war online

(2017) Steven Aftergood   NATURE