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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 ...
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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
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 ...