Lectures related to Cryptography and Security

Probability and Statistics: Basics and Applications

Covers fundamental concepts of probability and statistics, focusing on data analysis, graphical representation, and practical applications.

Probability and Statistics

Covers fundamental concepts in probability and statistics, emphasizing data analysis techniques and statistical modeling.

Proving Security: Random Oracle Model

Explores the Random Oracle Model, Hybrid ElGamal, and the Fujisaki Okamoto Transform in proving security.

Cryptographic Security Fundamentals

Covers cryptographic security fundamentals, including collision search algorithms, public-key cryptography, and risks of underestimating collision attacks.

Conditional Probability: Prediction Decomposition

Explores conditional probability, Bayes' theorem, and prediction decomposition for informed decision-making.

Cryptographic Security Models: Game Proof Methodology

Explores Cryptographic Security Models through the Game Proof Methodology, RSA Security, Rabin Cryptosystem, and Diffie-Hellman Security.

Dependence and Correlation

Explores dependence, correlation, and conditional expectations in probability and statistics, highlighting their significance and limitations.