… , eXtreme Gradient Boosting, as well as Linear discriminant analysis. We then present the …
empirical analysis on the effectiveness of various machine learning based security models by …

… are constantly increasing their expenditure on cyber security … Crystal Market Research (CMR),
the Cyber Security Market, … such as the Internet of Things have increased the risk of data …

… , including the security characteristics of deep learning methods. … in cybersecurity are
highlighted and potential future research … of ML and computer security, which aims at enhancing …

… Internet security: “concerned with protecting internet-related services and related ICT systems
and networks as an extension of network security in … , SVM, boosting methods and other …

… increasing rate, intruders are breaching information security. … a variety of approaches to
address the present cybersecurity … of this research is to assess the idealness of machine learning-…

… With the increasing popularity of Machine Learning in the field of Computer Security, it
will be a remarkable … With this research, we aim to perform an empirical study of machine …

… However, as an increasing number of cybersecurity incidents in different formats mentioned
… cybersecurity systems are composed of network security systems and computer security …

… architecture is used to enhance the performance of deep reinforcement learning as well as
the major … In this paper, the cybersecurity attack detection based on deep learning methods is …

… increasing the number of misclassifications. The existence of such techniques means that
infrastructures which incorporate machine learning… the machine learning methods employed in …

Malicious attack detection is one of the critical cyber-security challenges in the peer-to-peer …
In this paper, we evaluate twelve Machine Learning (ML) algorithms in terms of their ability to …