Machine learning (ML) is transforming cybersecurity by enabling advanced detection, prevention and response mechanisms. This paper provides a comprehensive review …
(PDF) The Role of Machine Learning in Cybersecurity
This paper is the first attempt to provide a holistic understanding of the role of ML in the entire cybersecurity domain -- to any potential reader with an interest in this topic.
The Role of Machine Learning in Cybersecurity
Machine Learning (ML) represents a pivotal technology for current and future information systems, and many domains already leverage the capabilities of ML. However, deployment of ML in cybersecurity is still at an early stage, revealing …
Artificial intelligence for cybersecurity: Literature review and future ...
These studies employ text-mining techniques to feed the machine learning based vulnerability detection models in unison with a recommendation system to help programmers …
Machine learning in cybersecurity: a comprehensive …
Therefore, in this paper, we provide a comprehensive survey of the works that have been carried out most recently (from 2013 to 2018) on ML in cybersecurity, describing the basics of cyber-attacks and corresponding …
A Survey on Machine Learning Techniques for Cyber Security in …
This paper aims to provide a comprehensive overview of the challenges that ML techniques face in protecting cyberspace against attacks, by presenting a literature on ML techniques for cyber …
Machine Learning for Cybersecurity: Threat Detection, …
This study examines the literature on Cyber security threat detection and protection in IoT such as detection of spam, malware and intrusion over the previous ten years using...
Current trends in AI and ML for cybersecurity: A state …
This paper provides a comprehensive survey of the state-of-the-art use of Artificial Intelligence (AI) and Machine Learning (ML) in the field of cybersecurity. The paper illuminates key applications of AI and ML in …
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Machine learning (ML) is transforming cybersecurity by enabling advanced detection, prevention and response mechanisms. This paper provides a comprehensive review …
This paper is the first attempt to provide a holistic understanding of the role of ML in the entire cybersecurity domain -- to any potential reader with an interest in this topic.
Machine Learning (ML) represents a pivotal technology for current and future information systems, and many domains already leverage the capabilities of ML. However, deployment of ML in cybersecurity is still at an early stage, revealing …
These studies employ text-mining techniques to feed the machine learning based vulnerability detection models in unison with a recommendation system to help programmers …
Therefore, in this paper, we provide a comprehensive survey of the works that have been carried out most recently (from 2013 to 2018) on ML in cybersecurity, describing the basics of cyber-attacks and corresponding …
This paper aims to provide a comprehensive overview of the challenges that ML techniques face in protecting cyberspace against attacks, by presenting a literature on ML techniques for cyber …
This study examines the literature on Cyber security threat detection and protection in IoT such as detection of spam, malware and intrusion over the previous ten years using...
This paper provides a comprehensive survey of the state-of-the-art use of Artificial Intelligence (AI) and Machine Learning (ML) in the field of cybersecurity. The paper illuminates key applications of AI and ML in …