_research.tex
kasmya@soc:~/portfolio$ open research/

# research

UNDER REVIEW// 2026

FedCL-NIDS: Federated Closed-Loop Network Intrusion Detection with Automated YARA Rule Voting Consensus

Kasmya Bhatia · Ashwarya Pradhan · Dr. Gautam Kumar

Dept. of AI & ML, Manipal University Jaipur

// contribution_1
Federated learning architecture for privacy-preserving, distributed network intrusion detection across multiple nodes — without centralising sensitive data.
// contribution_2
Automated YARA rule voting consensus that dynamically generates and validates threat signatures, reducing false positives and improving detection adaptability.
Federated LearningNIDSYARAPrivacyClosed-Loop
$ tail -f research/log // what's next
// note: more to come. research is a long-term thread for me alongside building real-world systems. equally excited about applied engineering roles where i can ship, learn from production, and contribute to the research conversation over time. open to collaborations, internships and full-time opportunities across software, ML and security.