P. Venkata Krishna

About

P. Venkata Krishna is an emerging researcher in the fields of cybersecurity, machine learning, and the Internet of Things (IoT). His work focuses on developing intelligent, data-driven solutions to protect modern networked systems. In his most-cited paper, "A Machine Learning-based Approach for Detecting Network Intrusions in Large-scale Networks" (2023, 4 citations), Krishna proposes novel algorithms that leverage machine learning to identify malicious activity across vast, complex infrastructures—a critical need in today’s digital landscape. He further explores the vulnerabilities of connected devices in "Comparative Study on Techniques Used for Anomaly Detection in IoT Data" (2023, 2 citations), systematically evaluating different methods to spot irregular patterns in IoT sensor streams. While his citation counts are still growing, these works demonstrate a clear, practical focus on enhancing security and reliability in large-scale and IoT environments. Krishna’s research is particularly valuable for students and practitioners seeking to understand how machine learning can be applied to real-world network defense challenges, marking him as a promising voice in the intersection of AI and cybersecurity.

Research Focus

Key Achievements

Top Papers

1. 1
   A Machine Learning-based Approach for Detecting Network Intrusions in Large-scale Networks

   4 citations · 2023
2. 2
   Comparative Study on Techniques Used for Anomaly Detection in IoT Data

   2 citations · 2023

Key Collaborators

Contact & Links