IDSS Udinus

Team Overview

The AI in Data Security research team is at the forefront of designing intelligent and adaptive digital defense systems. In an era where cyber attacks are increasingly massive and dynamic, traditional security approaches are no longer sufficient.

We integrate Machine Learning and other intelligent computing technologies to recognize new threat patterns, detect anomalies in network traffic, and develop modern protections. Our mission is to ensure the integrity, confidentiality, and availability of data in distributed systems.

Key Focus Areas

Network Anomaly Detection

Developing intelligent intrusion detection systems capable of automatically distinguishing normal traffic from hacking activities in real-time.
Malware & Threat Analysis

Classification and forensics of malicious software (malware) using a Deep Learning approach to dissect hidden attack patterns.
Applied Cryptography

Evaluating and implementing modern encryption protocols to maintain data security during transit and storage on institutional servers.