Conducted Under IEEE MTT-S Chapter SBC11474
ABV-Indian Institute of Information Technology and Management, Gwalior
Cyber Security & AI-Driven Defenses
CH11187

The AI Driven Future Smart Cyber Space Security

Join this expert-led session exploring modern cyber security prevention strategies, AI-powered defense mechanisms, and advanced mathematical modelling tools used to strengthen digital infrastructures.

December 6, 2025
10:00 AM EST (New York)
00 Days
00 Hours
00 Minutes
00 Seconds
Register Now - Free

About This Webinar

This webinar provides a comprehensive overview of modern cyber security prevention strategies, AI-driven defensive architectures that enable predictive threat analysis, risk mitigation, and resilient system design.

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AI-Driven Cyber Defense

Explore how artificial intelligence enhances intrusion detection, real-time anomaly recognition, automated threat response, and predictive cyber-attack modelling to strengthen digital ecosystems.

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Cyber Security Prevention Strategies

Gain insights into modern prevention frameworks including secure network architectures, cryptographic protection mechanisms, advanced access-control systems, and multi-layered defense approaches designed to reduce system vulnerabilities and strengthen overall cyber resilience.

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Cyber Threat Intelligence

Gain insights into global threat landscapes, OSINT tools, intelligence-driven defense, and real-world cyber threat case studies.

Research Publications

This webinar highlights key advancements in AI-powered cyber defense, mathematical modelling of cyber risks, and data-driven analytical methods used to predict, prevent, and mitigate complex cyber threats across modern digital environments.

Edition Smart Agriculture for Sustainable Practices The Role of AI, IoT, and Machine Learning Edited By S. N. Kumar, Sherin Zafar, Arun S, Sameena Naaz, M. M. Sufyan Beg, Eduard Babulak Copyright 2026, ISBN 9781032975016 376 Pages 66 B/W Illustrations

December 3, 2025 by Chapman & Hall, in press

Ashish Bagwari, Jorge Luis Victoria Barbosa, Eduard Babulak, Durg Singh Chauhan: "Emerging Wireless Technologies and Sciences"

Second International Conference, ICEWTS 2024, Uttarakhand, India, October 6–7, 2024, Proceedings, Part of the book series: Communications in Computer and Information Science (CCIS, volume 2399), Publisher Springer Cham, Softcover ISBN 978-3-031-87885-5, Series ISSN 1865-0929, Series E-ISSN 1865-0937, 26 April 2025, published.

Eduard Babulak: "Advances in Digital Transformation - Rise of Ultra-Smart Fully Automated Cyberspace"

published on July 17th 2024, IntechOpen, London, UK

Eduard Babulak, "Chatbots - The AI-driven Customer Front-line Services"

published September 13th, 2023

S. N. Kumar, Sherin Zafar, Eduard Babulak, M. Afshar Alam, Farheen Siddiqui, "Artificial Intelligence in Telemedicine: Processing of Biosignals and Medical images",529949- IMVRA Series, 1st edition

published in August 2023

Featured Speaker

Kiruthika Ramany
Prof. Eduard Babulak

Research Professor of Computer Science & Cyber Security,

Liberty University, Lynchburg, VA, USA

Professor Eduard Babulak is a globally recognized scholar, engineer, and researcher with over thirty years of experience across cybersecurity, AI-driven systems, mathematical modelling, and advanced computing. He has served in leadership positions across IEEE, ACM, and international research committees, contributing extensively to digital security, intelligent systems, and computational engineering.

His academic accomplishments include a D.Sc., Ph.D., M.Sc., and multiple engineering degrees earned across the UK, Czech Republic, and Slovakia. He has delivered invited keynote lectures at MIT, the University of Cambridge, Oxford University, Purdue, Penn State, Tokyo, Seoul, Shanghai Jiao Tong University, and other world-renowned institutions. His work focuses on secure systems engineering, AI-enabled threat prevention, and the use of mathematical models to enhance cyber defense architectures.

Cyber Security
AI-Driven Threat Detection
Mathematical Modelling
Predictive Analytics
25+
Years Research
200+
Publications

Research Expertise

Prof. Babulak’s research integrates cybersecurity engineering, artificial intelligence, mathematical modelling. His work supports the development of resilient digital infrastructures and the advancement of proactive, intelligent cyber defense mechanisms.

Webinar Curriculum

An in-depth overview of AI-powered cybersecurity methodologies encompassing risk modelling, real-time detection algorithms, statistical threat analysis, and practical applications in modern cyber-defense systems

Introduction to Cyber Security Prevention

Foundations of modern cyber threats | Security principles | Vulnerability analysis | Multi-layered defense systems.

AI-Driven Defense Mechanisms

Machine learning for threat detection | Behavior modelling | Automated incident response | Predictive analytics in cybersecurity.

Mathematical Modelling

Probabilistic risk models | System resilience modelling | Data-driven security validation.

Network Security & Zero-Trust Architecture

Zero-trust frameworks | Secure access control | Encryption systems | Identity and device verification.

AI for Intrusion Detection & Anomaly Recognition

Real-time monitoring | Deep learning classifiers | Pattern deviation analysis | Automated signatures.

Cyber Threat Intelligence

Threat landscapes | Intelligence-driven mitigation | Open-source intelligence (OSINT) | Monitoring & prediction systems.

Future of AI in Security

Autonomous protection systems | Ethical considerations | Global cyber regulations | Research opportunities.

Frequently Asked Questions

What topics will this cybersecurity webinar cover?
The webinar will explore cyber security prevention strategies, AI-driven defensive systems, intrusion detection, anomaly recognition, mathematical modelling.
Who should attend this session?
Students, researchers, IT professionals, cybersecurity engineers, AI practitioners, and anyone interested in next-generation cyber defenses and security modelling.
How does AI help in cybersecurity?
AI enhances cybersecurity by detecting anomalies, predicting potential threats, automating responses, and analyzing complex attack patterns in real time.
What are mathematical modelling tools used for?
Modelling tools simulate cyber-attacks, assess network vulnerabilities, estimate risk probabilities, and evaluate defensive strategies before real deployment.
Will I get a certificate?
Yes. All participants will receive an official certificate of participation along with reading materials and reference resources.
Is prior knowledge required?
No prior expertise is needed. The webinar covers both foundational concepts and advanced topics accessible to all learning levels.

Register for Free

Join us to explore cutting-edge cybersecurity strategies, AI-driven protection mechanisms, and modelling tools that shape the future of secure digital systems.

    Reserve Your Spot Today

    Limited seats available for this expert-led cybersecurity webinar focusing on AI-driven threat detection and advanced modelling tools. Secure your spot today.

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    Supporting UN Sustainable Development Goals

    This webinar supports global development goals by advancing secure digital infrastructures, promoting ethical use of AI, enabling resilient cyber ecosystems, and strengthening the technology frameworks essential for sustainable innovation.

    Primary Focus

    SDG 9: Industry, Innovation and Infrastructure

    Key Target:
    Target 9.5: Enhance scientific research and upgrade technological capabilities across digital and industrial infrastructures.

    This webinar supports SDG 9 by advancing knowledge in AI-powered cyber defense, mathematical cyber-risk modelling, and secure digital infrastructure development—helping industries adopt resilient, innovative, and technologically strong security frameworks.

    SDG 4: Quality Education

    Key Target:
    Target 3.4: Ensure inclusive and equitable quality education and promote lifelong learning in emerging technologies.

    By providing accessible training on cybersecurity, artificial intelligence, and mathematical modelling, this webinar empowers students, professionals, and researchers with essential digital knowledge, building a skilled global workforce capable of navigating modern cyber challenges.

    SDG 16: Peace, Justice and Strong Institutions

    Key Target:
    Target 7.2: Develop effective, accountable, and transparent institutions through secure and resilient digital systems.

    The webinar strengthens SDG 16 by promoting cybersecurity best practices, AI-driven threat intelligence, and mathematical frameworks that help safeguard public institutions, critical sectors, and national infrastructures from evolving cyber threats.

    How This Research Contributes to Global Goals

    Secure Digital Innovation

    AI-based cybersecurity protects digital infrastructure, enabling safer innovation across industries, smart cities, autonomous systems, and cloud technologies.

    Protection of Critical Systems

    Mathematical modelling strengthens national cyber resilience by identifying vulnerabilities in critical infrastructures such as healthcare, finance, energy, and transportation, enabling data-driven assessment of risks and more effective defensive strategies.

    Ethical and Responsible Use of AI

    The webinar emphasizes transparent, responsible, and ethical deployment of AI in security, supporting global objectives for safe and sustainable technological advancement.