An Accurate Bitcoin Price Prediction using logistic regression with LSTM Machine Learning model
Volume-3 | Issue-3
Design of Distribution Transformer Health Management System using IoT Sensors
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Energy Management System in the Vehicles using Three Level Neuro Fuzzy Logic
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Cloud Load Estimation with Deep Logarithmic Network for Workload and Time Series Optimization
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Design of a Food Recommendation System using ADNet algorithm on a Hybrid Data Mining Process
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Review on Data Securing Techniques for Internet of Medical Things
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Automatic Diagnosis of Alzheimer’s disease using Hybrid Model and CNN
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Population Based Meta Heuristics Algorithm for Performance Improvement of Feed Forward Neural Network
Volume-2 | Issue-1
Comparative Analysis of an Efficient Image Denoising Method for Wireless Multimedia Sensor Network Images in Transform Domain
Volume-3 | Issue-3
A Comprehensive Review on Power Efficient Fault Tolerance Models in High Performance Computation Systems
Volume-3 | Issue-3
An Integrated Approach for Crop Production Analysis from Geographic Information System Data using SqueezeNet
Volume-3 | Issue-4
An Accurate Bitcoin Price Prediction using logistic regression with LSTM Machine Learning model
Volume-3 | Issue-3
Design of Distribution Transformer Health Management System using IoT Sensors
Volume-3 | Issue-3
Design of a Food Recommendation System using ADNet algorithm on a Hybrid Data Mining Process
Volume-3 | Issue-4
Automatic Diagnosis of Alzheimer’s disease using Hybrid Model and CNN
Volume-3 | Issue-4
Effective Prediction of Online Reviews for Improvement of Customer Recommendation Services by Hybrid Classification Approach
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Acoustic Features Based Emotional Speech Signal Categorization by Advanced Linear Discriminator Analysis
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Analysis of Statistical Trends of Future Air Pollutants for Accurate Prediction
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Identification of Electricity Threat and Performance Analysis using LSTM and RUSBoost Methodology
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Review on Data Securing Techniques for Internet of Medical Things
Volume-3 | Issue-3
Volume - 4 | Issue - 2 | june 2022
Published
30 May, 2022
The Hidden Naive Bayes Binary Classifier is used for Database Security to detect Intruders. Data mining is used a lot in intrusion detection systems to classify normal or anomaly events. This method is a transparent, effective, and widely used mining method based on the idea of conditional attribute independence. HNB classifier is a more advanced version of Naive Bayes classifier algorithm and is efficiently used for intrusion attacks. It keeps the simplicity and efficiency of Naive Bayes, but loosens the independence condition. In the tests, it is proved that this binary classifier model can be used to solve the intrusion detection problem.
KeywordsData mining intrusion detection machine learning classifier
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