December 11, 2017 article Open access HAST-IDS: Learning Hierarchical Spatial-Temporal Features Using Deep Neural Networks to Improve Intrusion Detection IEEE Access DOI: 10.1109/access.2017.2780250 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 3 stored of 668 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Feature dimensionality in CNN acceleration for high-throughput network intrusion detection 2022 International Conference on Field Programmable Logic and Applications (FPL) conference-paper Computer Science Network Packet Processing and Optimization 4 citations Machine Learning for Misuse-Based Network Intrusion Detection: Overview, Unified Evaluation and Feature Choice Comparison Framework 2021 IEEE Access article Computer Science Network Security and Intrusion Detection Open access 58 citations Towards Real-Time Deep Learning-Based Network Intrusion Detection on FPGA 2021 Lecture notes in computer science conference-paper Computer Science Network Packet Processing and Optimization Open access 17 citations 3 results References 0