About Workshop
With the rapid growth of machine learning and data science, traditional approaches to cryptology and network security are being redefined. This international-level workshop aims to bridge the gap between classical security mechanisms and intelligent, data-driven techniques. Participants will gain insights into how modern cryptographic systems and secure network architectures are evolving to counter sophisticated cyber threats in today’s interconnected digital ecosystem.
- Explore how Machine Learning and Data Science are transforming cryptology and network security.
- Bridge the gap between classical security methods and intelligent, data-driven solutions.
- Gain insights into modern cryptographic systems and secure network architectures.
- Learn to counter sophisticated cyber threats in today’s interconnected digital world.
Objectives
- Build a strong conceptual foundation in modern cryptology and secure networking.
- Understand the influence of Machine Learning and Data Science on cybersecurity.
- Acquire practical skills to protect data, networks, and communication systems.
- Implement intelligent, adaptive, and data-driven defense strategies against cyber threats.
Benefits
- Enhanced Cybersecurity: Develop professionals capable of designing robust, secure digital systems.
- Data Protection: Safeguard sensitive personal, financial, organizational, and national information.
- Support Digital Transformation: Enable safe adoption of online banking, e-governance, healthcare, and smart infrastructure.
- Machine Learning for Security: Detect complex threats, perform predictive analysis, and automate responses.
- Data Science Insights: Convert large volumes of security data into actionable intelligence.
- Proactive Defense: Strengthen security policies and improve system resilience.