Rahul Vadisetty and Anand Polamarasetti recently won the Best Paper Award (ICADAC 2025) at the prestigious International Conference on Artificial Intelligence, Data Analysis and Computers, hosted by Taylor and Francis.
Major breakthrough in artificial intelligence research
In a world increasingly reliant on secure digital infrastructure, two researchers have had a significant impact on cybersecurity through cutting-edge work in artificial intelligence. Rahul Vadisetty and Anand Polamarasetti recently won the Best Paper Award (ICADAC 2025) at the prestigious International Conference on Artificial Intelligence, Data Analysis and Computers, hosted by Taylor and Francis. Their award-winning study, “AI-driven anomaly detection in secure database access logs using Python”, is a step forward to identifying cyber threats before causing damage.
Highly selective meetings
Holding at the Grand Kolkata Institute of Engineering and Management (GKCEM), ICADAC 2025 is one of the most competitive conferences in AI and cybersecurity research. This year, the conference committee received 235 submissions, but only 19% were accepted after strict peer review. With such a intense selection process, Vadisetty and Polamarasetti’s papers stand out for their innovation, real-world applicability, and the potential to enhance global cybersecurity strategies.
How their research changes the game
Traditional database security measures rely on outdated rule-based systems and statistical models that often fail to detect modern cyber threats. Vadisetty and Polamarasetti’s research provides a machine learning-driven alternative that provides a more adaptable and accurate anomaly detection system.
Their study applied unsupervised learning techniques such as autoencoders and isolated forests to detect abnormal activity in database logs. These techniques significantly reduce false positives and improve accuracy compared to conventional methods. The study was validated using the Los Alamos National Laboratory (LANL) cybersecurity dataset, demonstrating the robustness of their approach in real-world environments.
Why this work is important
Cyber threats are rapidly evolving, and organizations need real-time solutions to protect sensitive information. The Vadisetty and Polamarasetti’s models offer several key advancements:
• AI-driven threat detection – Their approach utilizes deep learning to continuously adapt to new types of cyber threats.
• Excellent Accuracy – Research shows that AI-based approaches outperform traditional rule-based security models, especially in reducing false alarms.
• Blockchain and federated learning integration – This study explores future improvements, such as integrating blockchain technology with immutable audit logs and federated learning to enhance security across multiple institutions.
What’s next?
The impact of their research is not limited to database security. Their AI-driven anomaly detection framework has potential applications in financial services, healthcare and cloud security, where real-time monitoring of user activity is critical.
One of the next steps in cybersecurity research is to make AI-driven anomaly detection more scalable and interpretable. Interpretable AI (XAI) technology can help security analysts understand how AI models detect anomalies, increase trust and usability. In addition, real-time AI models can be deployed in organizations to detect the occurrence of cyber threats and provide proactive defense rather than reactive security measures.
Well-deserved honor
The focus of winning the Best Paper Award at ICADAC 2025 highlights the importance of Vadisetty and Polamarasetti’s contribution to the cybersecurity landscape. Their work represents a significant shift in how organizations can protect their data, thus providing future solutions to future cyber threats.
As cyberattacks become more complex, their research provides scalable, clever and effective ways to detect anomaly, ensuring businesses and governments are one step ahead of malicious roles. Their AI-driven security model is not only an academic achievement, but also a key innovation in digital security tomorrow.
For more information about ICADAC 2025, visit: -https://icadac 2025.in/index.php
