We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Reinforcement Learning Applications in Cyber Security: A Review.
- Authors
CENGİZ, Emine; GÖK, Murat
- Abstract
In the modern age we live in, the internet has become an essential part of our daily life. A significant portion of our personal data is stored online and organizations run their business online. In addition, with the development of the internet, many devices such as autonomous systems, investment portfolio tools and entertainment tools in our homes and workplaces have become or are becoming intelligent. In parallel with this development, cyberattacks aimed at damaging smart systems are increasing day by day. As cyberattack methods become more sophisticated, the damage done by attackers is increasing exponentially. Traditional computer algorithms may be insufficient against these attacks in the virtual world. Therefore, artificial intelligence-based methods are needed. Reinforcement Learning (RL), a machine learning method, is used in the field of cyber security. Although RL for cyber security is a new topic in the literature, studies are carried out to predict, prevent and stop attacks. In this study; we reviewed the literature on RL's penetration testing, intrusion detection systems (IDS) and cyberattacks in cyber security.
- Subjects
REINFORCEMENT learning; INTERNET security; ARTIFICIAL intelligence; COMPUTER algorithms; MACHINE learning
- Publication
Sakarya University Journal of Science (SAUJS) / Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 2023, Vol 27, Issue 2, p481
- ISSN
1301-4048
- Publication type
Article
- DOI
10.16984/saufenbilder.1237742