[图书][B] Cyber threat intelligence: challenges and opportunities
The ever increasing number of cyber attacks requires the cyber security and forensic
specialists to detect, analyze and defend against the cyber threats in almost real-time. In …
specialists to detect, analyze and defend against the cyber threats in almost real-time. In …
Stacked one-class broad learning system for intrusion detection in industry 4.0
With the vigorous development of Industry 4.0, industrial Big Data has turned into the core
element of the Industrial Internet of Things. As one of the most fundamental and …
element of the Industrial Internet of Things. As one of the most fundamental and …
Machine learning for detecting anomalies and intrusions in communication networks
Cyber attacks are becoming more sophisticated and, hence, more difficult to detect. Using
efficient and effective machine learning techniques to detect network anomalies and …
efficient and effective machine learning techniques to detect network anomalies and …
Detection of denial of service attacks in communication networks
Detection of evolving cyber attacks is a challenging task for conventional network intrusion
detection techniques. Various supervised machine learning algorithms have been …
detection techniques. Various supervised machine learning algorithms have been …
Evaluation of support vector machine kernels for detecting network anomalies
Border Gateway Protocol (BGP) is used to exchange routing information across the Internet.
BGP anomalies severely affect network performance and, hence, algorithms for anomaly …
BGP anomalies severely affect network performance and, hence, algorithms for anomaly …
A deep learning approach to radio signal denoising
This paper proposes a Deep Learning approach to radio signal de-noising. This approach is
data-driven, thus it allows de-noising signals, corresponding to distinct protocols, without …
data-driven, thus it allows de-noising signals, corresponding to distinct protocols, without …
Selection of effective features for BGP anomaly detection
T Arai, K Nakano, B Chakraborty - 2019 IEEE 10th International …, 2019 - ieeexplore.ieee.org
Border Gateway Protocol (BGP) is the internet's default protocol for managing connectivity
between Autonomous Systems (AS). Anomalies happen to occur time to time and it is a …
between Autonomous Systems (AS). Anomalies happen to occur time to time and it is a …
BGP anomalies classification using features based on as relationship graphs
TB Paiva, Y Siqueira, DM Batista… - 2021 IEEE Latin …, 2021 - ieeexplore.ieee.org
Ensuring the correct behavior of the Border Gateway Protocol (BGP) is essential for keeping
a good quality of service on the internet. When an anomalous behavior is detected …
a good quality of service on the internet. When an anomalous behavior is detected …
Detection of denial of service attacks using echo state networks
K Bekshentayeva, L Trajković - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Denial of Service (DoS) and Distributed Denial of Service (DDoS) attacks are major threats
to cybersecurity in communication networks. These cyber attacks are evolving and …
to cybersecurity in communication networks. These cyber attacks are evolving and …
Aeration strategy based on numerical modelling and the response mechanism of microbial communities under various operating conditions
N Xiao, B Wang, JJ Huang, Z Huang, L Shi - Journal of Environmental …, 2022 - Elsevier
Aeration system is the main energy consumer in a wastewater treatment process. In this
paper, the Naive Bayes classification (NBC) algorithm and response surface method (RSM) …
paper, the Naive Bayes classification (NBC) algorithm and response surface method (RSM) …