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[HTML][HTML] A comprehensive review of AI based intrusion detection system
T Sowmya, EAM Anita - Measurement: Sensors, 2023 - Elsevier
In today's digital world, the tremendous amount of data poses a significant challenge to
cyber security. The complexity of cyber-attacks makes it difficult to develop efficient tools to …
cyber security. The complexity of cyber-attacks makes it difficult to develop efficient tools to …
[HTML][HTML] A systematic literature review on identifying patterns using unsupervised clustering algorithms: A data mining perspective
Data mining is an analytical approach that contributes to achieving a solution to many
problems by extracting previously unknown, fascinating, nontrivial, and potentially valuable …
problems by extracting previously unknown, fascinating, nontrivial, and potentially valuable …
Comprehensive review on supervised machine learning algorithms
R Choudhary, HK Gianey - 2017 International Conference on …, 2017 - ieeexplore.ieee.org
Machine learning is an area of computer science in which the computer predicts the next
task to perform by analyzing the data provided to it. The data accessed by the computer can …
task to perform by analyzing the data provided to it. The data accessed by the computer can …
Increased digital resource consumption in higher educational institutions and the artificial intelligence role in informing decisions related to student performance
As education is an essential enabler in achieving Sustainable Development Goals (SDGs), it
should “ensure inclusive, equitable quality education, and promote lifelong learning …
should “ensure inclusive, equitable quality education, and promote lifelong learning …
Efficient deep CNN-BiLSTM model for network intrusion detection
J Sinha, M Manollas - Proceedings of the 2020 3rd International …, 2020 - dl.acm.org
The need for Network Intrusion Detection systems has risen since usage of cloud
technologies has become mainstream. With the ever growing network traffic, Network …
technologies has become mainstream. With the ever growing network traffic, Network …
[HTML][HTML] An ensemble of prediction and learning mechanism for improving accuracy of anomaly detection in network intrusion environments
The connectivity of our surrounding objects to the internet plays a tremendous role in our
daily lives. Many network applications have been developed in every domain of life …
daily lives. Many network applications have been developed in every domain of life …
[HTML][HTML] Groundwater-potential map** using a self-learning bayesian network model: A comparison among metaheuristic algorithms
S Karimi-Rizvandi, HV Goodarzi, JH Afkoueieh… - Water, 2021 - mdpi.com
Owing to the reduction of surface-water resources and frequent droughts, the exploitation of
groundwater resources has faced critical challenges. For optimal management of these …
groundwater resources has faced critical challenges. For optimal management of these …
A new clustering approach for anomaly intrusion detection
R Ranjan, G Sahoo - ar** with considering socio-economic criteria using machine learning algorithms
The reduction of population concentration in some urban land uses is one way to prevent
and reduce the spread of COVID-19 disease. Therefore, the objective of this study is to …
and reduce the spread of COVID-19 disease. Therefore, the objective of this study is to …