Advancing cybersecurity: a comprehensive review of AI-driven detection techniques
Helwan University · Kafrelsheikh University
Abstract
Abstract As the number and cleverness of cyber-attacks keep increasing rapidly, it's more important than ever to have good ways to detect and prevent them. Recognizing cyber threats quickly and accurately is crucial because they can cause severe damage to individuals and businesses. This paper takes a close look at how we can use artificial intelligence (AI), including machine learning (ML) and deep learning (DL), alongside metaheuristic algorithms to detect cyber-attacks better. We've thoroughly examined over sixty recent studies to measure how effective these AI tools are at identifying and fighting a wide range of cyber threats. Our research includes a diverse array of cyberattacks such as malware attacks,…
Citation impact
- FWCI
- 66.94
- Percentile
- 100%
- References
- 112
Authors
4- AHAya H. SalemCorresponding
Helwan University
- SMSafaa M. Azzam
Helwan University
- OEO. E. Emam
Helwan University
- AAAmr A. Abohany
Kafrelsheikh University
Topics & keywords
- Computer science
- Cyber threats
- Malware
- Computer security
- Artificial intelligence
- Cyberwarfare
- Metaheuristic
- Machine learning
- Peace, Justice and strong institutions