[HTML][HTML] Performance comparison and current challenges of using machine learning techniques in cybersecurity
Cyberspace has become an indispensable factor for all areas of the modern world. The
world is becoming more and more dependent on the internet for everyday living. The …
world is becoming more and more dependent on the internet for everyday living. The …
A survey on machine learning techniques for cyber security in the last decade
Pervasive growth and usage of the Internet and mobile applications have expanded
cyberspace. The cyberspace has become more vulnerable to automated and prolonged …
cyberspace. The cyberspace has become more vulnerable to automated and prolonged …
Network Security in Cyberspace Using Machine Learning Techniques
Cyberspace has grown due to the widespread uses of the Internets and mobiles apps.
Attacks on the Internet are more likely to be automated and to last longer. Cyber security …
Attacks on the Internet are more likely to be automated and to last longer. Cyber security …
Cyber threat detection using machine learning techniques: A performance evaluation perspective
The present-day world has become all dependent on cyberspace for every aspect of daily
living. The use of cyberspace is rising with each passing day. The world is spending more …
living. The use of cyberspace is rising with each passing day. The world is spending more …
[HTML][HTML] Cybersecurity threats and their mitigation approaches using Machine Learning—A Review
Machine learning is of rising importance in cybersecurity. The primary objective of applying
machine learning in cybersecurity is to make the process of malware detection more …
machine learning in cybersecurity is to make the process of malware detection more …
A review on the effectiveness of machine learning and deep learning algorithms for cyber security
R Geetha, T Thilagam - Archives of Computational Methods in …, 2021 - Springer
In recent years there exists a wide variety of cyber attacks with the drastic development of
the internet technology. Detection of these attacks is of more significant in today's cyber …
the internet technology. Detection of these attacks is of more significant in today's cyber …
[图书][B] Machine learning approaches in cyber security analytics
T Thomas, AP Vijayaraghavan, S Emmanuel - 2020 - Springer
With an overwhelming amount of data being generated and transferred over various
networks, cybersecurity experts are having a hard time in monitoring everything that gets …
networks, cybersecurity experts are having a hard time in monitoring everything that gets …
[HTML][HTML] Uniting cyber security and machine learning: Advantages, challenges and future research
Abstract Machine learning (ML) is a subset of Artificial Intelligence (AI), which focuses on the
implementation of some systems that can learn from the historical data, identify patterns and …
implementation of some systems that can learn from the historical data, identify patterns and …
Machine learning techniques applied to cybersecurity
J Martínez Torres, C Iglesias Comesaña… - International Journal of …, 2019 - Springer
Abstract Machine learning techniques are a set of mathematical models to solve high non-
linearity problems of different topics: prediction, classification, data association, data …
linearity problems of different topics: prediction, classification, data association, data …
CyberLearning: Effectiveness analysis of machine learning security modeling to detect cyber-anomalies and multi-attacks
IH Sarker - Internet of Things, 2021 - Elsevier
Detecting cyber-anomalies and attacks are becoming a rising concern these days in the
domain of cybersecurity. The knowledge of artificial intelligence, particularly, the machine …
domain of cybersecurity. The knowledge of artificial intelligence, particularly, the machine …