Cyber Security Intelligence and Federated Threat Analysis

The Cyber Security Intelligence and Federated Threat Analysis research group is dedicated to advancing knowledge and solutions in the realm of cybersecurity by leveraging cutting-edge technologies and methodologies. Our mission is to develop intelligent systems that enhance the detection, prevention, and mitigation of cyber threats in distributed environments.

Key areas of focus include:

1. Federated Learning for Threat Detection: Harnessing federated learning techniques to analyze and share threat intelligence across decentralized networks while preserving data privacy and security.
2. Advanced Threat Intelligence: Developing AI-driven models for real-time identification of sophisticated cyber threats, including zero-day vulnerabilities and advanced persistent threats (APTs).
3. Collaborative Security Models: Establishing frameworks for multi-organizational cooperation to improve cybersecurity resilience through shared threat intelligence and defense strategies.
4. IoT and Cyberspace Security: Addressing vulnerabilities in IoT ecosystems and cyberspace environments to ensure robust, scalable, and secure systems.
5. **Adversarial Defense Mechanisms**: Building robust defenses against adversarial attacks using neural networks and machine learning techniques.

Our interdisciplinary approach integrates artificial intelligence, machine learning, and cybersecurity expertise to create innovative solutions for real-world challenges in cyberspace security. We aim to foster collaborations with academic institutions, industries, and government organizations to ensure a safer and more resilient digital world.

Research Title:		G5: Cybersecurity Intelligence and Federated Threat Analysis (CIFTA)
Head Name		Dr. Yawar Abbas Abid
1	Mr. Jamil
2	Ms. Nawal Akram
3	Mr. Sunil Ashraf