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Applications of artificial intelligence for disaster management
Natural hazards have the potential to cause catastrophic damage and significant
socioeconomic loss. The actual damage and loss observed in the recent decades has …
socioeconomic loss. The actual damage and loss observed in the recent decades has …
MLEsIDSs: machine learning-based ensembles for intrusion detection systems—a review
Network security plays an essential role in secure communication and avoids financial loss
and crippled services due to network intrusions. Intruders generally exploit the flaws of …
and crippled services due to network intrusions. Intruders generally exploit the flaws of …
A fast network intrusion detection system using adaptive synthetic oversampling and LightGBM
J Liu, Y Gao, F Hu - Computers & Security, 2021 - Elsevier
Network intrusion detection systems play an important role in protecting the network from
attacks. However, Existing network intrusion data is imbalanced, which makes it difficult to …
attacks. However, Existing network intrusion data is imbalanced, which makes it difficult to …
Network anomaly detection: methods, systems and tools
Network anomaly detection is an important and dynamic research area. Many network
intrusion detection methods and systems (NIDS) have been proposed in the literature. In this …
intrusion detection methods and systems (NIDS) have been proposed in the literature. In this …
A taxonomy of network threats and the effect of current datasets on intrusion detection systems
As the world moves towards being increasingly dependent on computers and automation,
building secure applications, systems and networks are some of the main challenges faced …
building secure applications, systems and networks are some of the main challenges faced …
A taxonomy and survey of intrusion detection system design techniques, network threats and datasets
With the world moving towards being increasingly dependent on computers and automation,
one of the main challenges in the current decade has been to build secure applications …
one of the main challenges in the current decade has been to build secure applications …
[KNIHA][B] Network anomaly detection: A machine learning perspective
DK Bhattacharyya, JK Kalita - 2013 - books.google.com
With the rapid rise in the ubiquity and sophistication of Internet technology and the
accompanying growth in the number of network attacks, network intrusion detection has …
accompanying growth in the number of network attacks, network intrusion detection has …
On the combination of genetic fuzzy systems and pairwise learning for improving detection rates on intrusion detection systems
Security policies of information systems and networks are designed for maintaining the
integrity of both the confidentiality and availability of the data for their trusted users …
integrity of both the confidentiality and availability of the data for their trusted users …
An enhanced intrusion detection system using particle swarm optimization feature extraction technique
As the alarming growth of computer connectivity and the significant number of computer-
related applications increased lately, the challenge of achieving cyber-security has become …
related applications increased lately, the challenge of achieving cyber-security has become …
[PDF][PDF] Towards Generating Real-life Datasets for Network Intrusion Detection.
With exponential growth in the number of computer applications and the sizes of networks,
the potential damage that can be caused by attacks launched over the Internet keeps …
the potential damage that can be caused by attacks launched over the Internet keeps …