… Misuse-based detection techniques aim to detect known attacks by using the signatures of …
of machine learning (ML) and deep learning (DL) methods for cybersecurity applications. ML / …

… cybersecurity and IoT security by investigating the performance and efficacy of various ensemble
learning techniques in conjunction with deep learning … in cybersecurity attack prediction …

… present in these deep learning techniques. Therefore, the … analysis of the deep learning
approach used for the detection … , the cybersecurity attack detection based on deep learning …

… in cybersecurity. In this paper, we offer a review on attack detection methods involving strength
of deep learning … on deep learning techniques in cybersecurity. By replacing traditional …

… However, DL’s main interest in traditional machine learning (ML) techniques continues with
… DL techniques related to cybersecurity IDS. Three deep learning methods for cybersecurity …

… For each cybersecurity threat or attack, we discuss … methods for cybersecurity. Given the
analysis performed, we identify the most effective DL methods for the different threats and attacks…

… of machine learning and deep learning applications and … on network security technologies,
methodologies, and … with three machine learning levels to identify and detect assaults and …

… attack of integrity of data in false data injection (FDI). In this paper deep learning technique
is used to recognize behavior of FDI attacks with measurements of data and capture the FDI …

… neural networks and deep learning methods and their applicability within the area of
cybersecurity. … the accuracy of DoS attack detection, the authors in [100] present a deep learning …

… 3) Machine learning (ML) based approaches, in which learn… can distinguish among different
types of attacks. Rule-based … presents the methods of data collection used in cybersecurity …