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Automation for Network Security Configuration: State of the Art and Research Trends
ACM Computing Surveys, 2023 The size and complexity of modern computer networks are progressively increasing, as a consequence of novel architectural paradigms such as the Internet of Things and network virtualization.
Daniele Bringhenti +3 more
semanticscholar +1 more source
FlowLens: Enabling Efficient Flow Classification for ML-based Network Security Applications
Network and Distributed System Security Symposium, 2021 —An emerging trend in network security consists in the adoption of programmable switches for performing various security tasks in large-scale, high-speed networks. However, since existing solutions are tailored to specific tasks, they cannot accommodate a
Diogo Barradas +5 more
semanticscholar +1 more source
Research on Network Security Situational Awareness Based on Crawler Algorithm
Security and Communication Networks, 2022 Network security situation awareness is a critical basis for security solutions because it displays the target system’s security state by assessing actual or possible cyber-attacks in the target system.
Xu Wu +5 more
semanticscholar +1 more source
A Review of Computer Vision Methods in Network Security [PDF]
IEEE Communications Surveys and Tutorials, 2020 Network security has become an area of significant importance more than ever as highlighted by the eye-opening numbers of data breaches, attacks on critical infrastructure, and malware/ransomware/cryptojacker attacks that are reported almost every day ...
Jiawei Zhao +2 more
semanticscholar +1 more source
A Survey of Moving Target Defenses for Network Security [PDF]
IEEE Communications Surveys and Tutorials, 2019 Network defenses based on traditional tools, techniques, and procedures (TTP) fail to account for the attacker’s inherent advantage present due to the static nature of network services and configurations.
Sailik Sengupta +5 more
semanticscholar +1 more source
Rallying Adversarial Techniques against Deep Learning for Network Security [PDF]
IEEE Symposium Series on Computational Intelligence, 2019 Recent advances in artificial intelligence and the increasing need for robust defensive measures in network security have led to the adoption of deep learning approaches for network intrusion detection systems (NIDS). These methods have achieved superior
Joseph Clements +4 more
semanticscholar +1 more source
An intelligent agriculture network security system based on private blockchains
Journal of Communications and Networks, 2019 Countries around the world are nowadays actively promoting development in intelligent agriculture. Each of them must develop a specific plan tailored to environmental farming indices of each individual farm, and such information would be both important ...
Hsin-Te Wu, Chun-Wei Tsai
semanticscholar +1 more source
EURASIP Journal on Wireless Communications and Networking, 2019 Information technology has penetrated into all aspects of politics, economy, and culture of the whole society. The information revolution has changed the way of communication all over the world, promoted the giant development of human society, and also ...
Yan Li +3 more
semanticscholar +1 more source
Intrusion Detection System Using Deep Neural Network for In-Vehicle Network Security
PLoS ONE, 2016 A novel intrusion detection system (IDS) using a deep neural network (DNN) is proposed to enhance the security of in-vehicular network. The parameters building the DNN structure are trained with probability-based feature vectors that are extracted from ...
Min-Joo Kang, Je-Won Kang
semanticscholar +1 more source