Biometrics, Cryptography and AL / ML

Description

This course provides a comprehensive understanding of three critical components in modern cybersecurity: biometrics, cryptography, and artificial intelligence/machine learning (AI/ML). Participants will explore the principles, applications, and practical implementations of these technologies in securing digital systems and protecting sensitive information. Through a combination of theoretical lectures, hands-on exercises, and real-world case studies, learners will develop the knowledge and skills necessary to utilize biometric authentication, cryptographic techniques, and AI/ML algorithms effectively in addressing contemporary cybersecurity challenges.

Course Objectives:

• Understand the principles and concepts of biometric authentication and its role in identity verification.

• Explore various biometric modalities and their applications in cybersecurity.

• Gain insights into cryptographic algorithms, protocols, and methodologies for securing data and communications.

• Learn about encryption, decryption, digital signatures, and key management in cryptography.

• Discover the applications of AI and ML techniques in cybersecurity, including threat detection, anomaly detection, and predictive analytics.

• Explore the integration of AI/ML algorithms with security tools and platforms for enhanced protection against cyber threats.

• Develop practical skills in implementing biometric authentication systems, cryptographic protocols, and AI-driven security solutions.

• Understand the ethical and privacy considerations associated with the use of biometrics, cryptography, and AI/ML in cybersecurity.

By the end of this course, participants will be equipped with the knowledge and skills to leverage biometrics, cryptography, and AI/ML effectively in designing, implementing, and managing cybersecurity solutions tailored to address evolving cyber threats.

Who this course is for:

• Cybersecurity professionals seeking to deepen their knowledge of advanced security technologies.
• IT professionals responsible for implementing and managing security solutions in organizations.
• Security analysts, system administrators, and network engineers interested in leveraging biometrics, cryptography, and AI/ML for cyber defense.