An investigation into the performances of the state-of-the-art machine learning approaches for various cyber-attack detection: A survey
In this research, we analyzed the suitability of each of the current state-of-the-art machine
learning models for various cyberattack detection from the past 5 years with a major …
learning models for various cyberattack detection from the past 5 years with a major …
A Data-Driven Approach for Online Phishing Activity Detection
KI Ahmad, A Paul, MFB Hafiz… - … on Advances in …, 2024 - ieeexplore.ieee.org
The exponential rise in online activity has increased the possibility of phishing attempts,
which can seriously jeopardize sensitive data and put companies and individuals at risk …
which can seriously jeopardize sensitive data and put companies and individuals at risk …
Exploring Heart Disease Prediction through Machine Learning Techniques
Z Lin, S Chen, J Chen - Proceedings of the 2023 7th International …, 2023 - dl.acm.org
Currently, heart disease stands as the most formidable threat to human life. The application
of machine learning in scrutinizing data holds the promise of augmenting early detection …
of machine learning in scrutinizing data holds the promise of augmenting early detection …