Deep Cybersecurity: A Comprehensive Overview from Neural Network and Deep Learning Perspective

• Published in: SN computer science Vol. 2; no. 3; p. 154
• Main Author: Sarker, Iqbal H.
• Format: Journal Article
• Language: English
• Published: Singapore Springer Singapore 01.05.2021; Springer Nature B.V
• Subjects: Artificial intelligence; Artificial neural networks; Belief networks; Computer Imaging; Computer Science; Computer Systems Organization and Communication Networks; Cybercrime; Cybersecurity; Data Structures and Information Theory; Datasets; Deep learning; Deep learning approaches for data analysis: A practical perspective; Generative adversarial networks; Information Systems and Communication Service; Machine learning; Malware; Multilayer perceptrons; Multilayers; Neural networks; Pattern Recognition and Graphics; Recurrent neural networks; Self organizing maps; Software Engineering/Programming and Operating Systems; Survey Article; Vision; United States > US; Chicago Illinois; Deep learning; Cybersecurity; Cyberattacks; Artificial neural network; Cyber threat intelligence; Artificial intelligence; Cybersecurity analytics

Deep learning, which is originated from an artificial neural network (ANN), is one of the major technologies of today’s smart cybersecurity systems or policies to function in an intelligent manner. Popular deep learning techniques, such as multi-layer perceptron, convolutional neural network, recurr...