A Survey on Machine Learning Techniques for Cyber Security in the Last Decade
Information Technology University · University of the Punjab · +3 more institutions
Abstract
Pervasive growth and usage of the Internet and mobile applications have expanded cyberspace. The cyberspace has become more vulnerable to automated and prolonged cyberattacks. Cyber security techniques provide enhancements in security measures to detect and react against cyberattacks. The previously used security systems are no longer sufficient because cybercriminals are smart enough to evade conventional security systems. Conventional security systems lack efficiency in detecting previously unseen and polymorphic security attacks. Machine learning (ML) techniques are playing a vital role in numerous applications of cyber security. However, despite the ongoing success, there are significant challenges in…
Citation impact
- FWCI
- 34.34
- Percentile
- 100%
- References
- 673
Authors
5- KSKamran ShaukatCorresponding
Information Technology University, University of the Punjab, University of Newcastle Australia
- SLSuhuai Luo
University of Newcastle Australia
- VVVijay Varadharajan
University of Newcastle Australia
- IAIbrahim A. Hameed
Norwegian University of Science and Technology
- MXMin Xu
University of Technology Sydney
Topics & keywords
- Cyberspace
- Computer security
- Computer science
- Malware
- Intrusion detection system
- Security through obscurity
- Exploit
- Security information and event management
- Peace, Justice and strong institutions