The Role of Machine Learning in Cybersecurity
University of Liechtenstein · Montimage (France) · +2 more institutions
Abstract
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 a significant discrepancy between research and practice. Such a discrepancy has its root cause in the current state of the art, which does not allow us to identify the role of ML in cybersecurity. The full potential of ML will never be unleashed unless its pros and cons are understood by a broad audience. This article 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…
Citation impact
- FWCI
- 29.92
- Percentile
- 100%
- References
- 102
Authors
7Topics & keywords
- Leverage (statistics)
- Software deployment
- Computer security
- Computer science
- Field (mathematics)
- Domain (mathematical analysis)
- Data science
- Root cause analysis