Cybersecurity
Intrusion detection systems, network security, vulnerability assessment, and threat detection mechanisms using advanced algorithms.
IDS/IPS
Network Security
Threat Detection
Research & Publications
Exploring cybersecurity, artificial intelligence, and innovative solutions through applied research and academic contributions. With 12+ publications, 500+ citations, and collaborations with leading institutions, this research focuses on real-world security challenges and scalable systems design.
Research Areas & Focus
Specializing in multiple domains of computer science and cybersecurity:
AI & Machine Learning
Deep learning models, neural networks, pattern recognition, and intelligent systems for security applications.
Deep Learning
Neural Networks
Pattern Recognition
Systems Design
Distributed systems, scalability, performance optimization, and microservices architecture research.
Distributed Systems
Scalability
Microservices
Academic Publications
Peer-reviewed research papers and conference proceedings covering cybersecurity, machine learning, and distributed systems:
Intrusion Detection Using Deep Learning: Neural Networks for Real-Time Security
Chandan Chakrobortty, Dr. Sharma
A comprehensive study on using convolutional neural networks (CNN) and recurrent neural networks (RNN) for real-time intrusion detection in enterprise networks. Achieves 98.5% accuracy on benchmark datasets.
2024
IEEE Conference
Peer Reviewed
Distributed System Performance Under Load: Scalability Patterns and Optimization
Chandan Chakrobortty, Research Team
Analysis of scalability patterns and optimization techniques for microservices architectures. Demonstrates load balancing strategies reducing response time by 45% on high-traffic systems.
2023
Journal of Systems
Peer Reviewed
Machine Learning for Network Anomaly Detection: Unsupervised Learning Approaches
Chandan Chakrobortty, Dr. Patel, Team
Novel approaches to detecting network anomalies using unsupervised learning techniques including isolation forests and autoencoders. Identifies zero-day attack patterns with 96% precision.
2023
ACM Workshop
Peer Reviewed
Research Impact & Metrics
12+
Peer-Reviewed Publications
500+
Academic Citations
8
International Conferences
3
Patent Applications
Research Collaborations & Partnerships
Active collaborations with leading academic institutions and research organizations:
Indian Institute of Technology (IIT) Kharagpur
Active research collaboration on cybersecurity applications, machine learning implementations, and secure systems design.
Focus: Network Security, AI-Based Detection Systems
Tech Research Institute
Joint projects on distributed systems architecture, performance optimization, and network security protocols.
Focus: Scalable Systems, Security Architecture