Machine Learning in Cyber Security
Machine learning has revolutionized the field of cyber security. In this article, we’ll explore how ML algorithms help detect threats and protect systems.
Why Machine Learning?
Traditional security systems struggle to keep up with evolving threats. Machine learning offers:
- Real-time threat detection
- Pattern recognition
- Automated response
- Continuous learning
Applications
1. Anomaly Detection
ML models can identify unusual patterns in network traffic.
2. Malware Classification
Automated identification of malicious software.
3. Phishing Detection
Recognizing fraudulent emails and websites.
Conclusion
Machine learning is transforming cyber security, making systems smarter and more resilient against attacks.