5 Result(s)
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Article
Modeling Hybrid Feature-Based Phishing Websites Detection Using Machine Learning Techniques
In this paper, we mainly present a machine learning based approach to detect real-time phishing websites by taking into account URL and hyperlink based hybrid features to achieve high accuracy without relying on ...
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Article
COVID-19 Fake News Detection using Deep Learning Model
People may now receive and share information more quickly and easily than ever due to the widespread use of mobile networked devices. However, this can occasionally lead to the spread of false information. Suc...
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Article
Open AccessMachine Learning for Intelligent Data Analysis and Automation in Cybersecurity: Current and Future Prospects
Due to the digitization and Internet of Things revolutions, the present electronic world has a wealth of cybersecurity data. Efficiently resolving cyber anomalies and attacks is becoming a growing concern in t...
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Article
A Machine Learning Model for Predicting Individual Substance Abuse with Associated Risk-Factors
Substance abuse is the unrestrained and detrimental use of psychoactive chemical substances, unauthorized drugs, and alcohol that can ultimately lead a human to disastrous consequences. As patients with this b...
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Article
An Improved K-means Clustering Algorithm Towards an Efficient Data-Driven Modeling
K-means algorithm is one of the well-known unsupervised machine learning algorithms. The algorithm typically finds out distinct non-overlap** clusters in which each point is assigned to a group. The minimum ...
