We’re proud to share the acceptance of another cutting-edge research paper from AiNetSeC Lab at ICTCS 2025! The paper titled Enhancing Smart Grid Security with Machine Learning dives into a comparative analysis of supervised and unsupervised learning approaches for strengthening smart grid security.
The research, conducted by the same dynamic team highlights how AI can bolster grid security by identifying anomalies and potential cyber threats in real-time.
Key Contributions:
- Comprehensive analysis of supervised vs. unsupervised ML techniques
- Practical insights into threat detection for critical infrastructure
- Recommendations for future AI-based smart grid security systems
Acknowledgment:
As with all our work, this research was a fully in-house initiative, driven by the passion and expertise of the AiNetSeC team, with no external funding.
This paper will soon be available in IEEE Xplore, Scopus, and Google Scholar.