A Few-Shot Learning-Based Siamese Capsule Network for Intrusion Detection with Imbalanced Training Data

• Published in: Computational intelligence and neuroscience Vol. 2021; no. 1; p. 7126913
• Main Authors: Wang, Zu-Min, Tian, Ji-Yu, Qin, Jing, Fang, Hui, Chen, Li-Ming
• Format: Journal Article
• Language: English
• Published: New York Hindawi 2021; Hindawi Limited
• Subjects: Accuracy; Algorithms; Artificial neural networks; Clustering; Communications traffic; Cybersecurity; Data processing; Datasets; Decision making; Deep learning; Feature extraction; Information systems; Intrusion detection systems; Learning algorithms; Machine learning; Markov analysis; Neural networks; Performance enhancement; Sampling; Support vector machines; Training

Network intrusion detection remains one of the major challenges in cybersecurity. In recent years, many machine-learning-based methods have been designed to capture the dynamic and complex intrusion patterns to improve the performance of intrusion detection systems. However, two issues, including im...