Author

Vaishnavi Jayaraman

3 papers indexed here

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Conference Aug 2026

CausalXBoost: A Causal Explainable CatBoost Framework for Insider Threat Detection

Many organizations face increasing risk from the insider threats where employees misuse the legitimate access to compromise sensitive data or systems. It is often complex in detecting the using the traditional ways. To address this issue, CausalXBoost framework was proposed which is detects the malicious behavior with...

Vaishnavi Jayaraman, Harvin Krishnan H, Vishaal Rgs et al. · International Conference Com... · 0 citations

Conference Aug 2026

A Framework for Phishing Email Detection with Statistical Text Representation and Semantic Feature Analysis

Phishing emails are still a major cybersecurity risk because of more sophisticated social engineering methods. Many traditional detection techniques are losing effectiveness. The increasing complexity and variety of spoofing attacks require better observation systems. Within this research, a comparative foundation is p...

Chayan Mondal Abir, Proshen Das, Vaishnavi Jayaraman et al. · 2026 International Conferenc... · 0 citations

Conference Aug 2026

AQIStack: An Interpretable Ensemble Learning Framework for Reliable Air Quality Index Prediction

Air pollution in Delhi has reached dangerous levels, necessitating accurate and dependable Air Quality Index (AQI) forecasts for timely intervention. However, traditional monitoring methods and stand-alone machine learning algorithms frequently fail to capture the complex, nonlinear relationships between contaminants a...

J. M., Pagalavan N, S. Parthasarathy et al. · International Conference on... · 0 citations