Explores conventional Cryptanalysis methods, including Differential and Linear Cryptanalysis, and delves into the significance of Hypothesis Testing in Cryptography.
Delves into probability, statistics, paradoxes, and random variables, showcasing their real-world applications and properties.
Explores semantic security in stream ciphers, emphasizing pseudorandom number generators and computational limitations in cryptography.
Explores cryptanalysis in public-key cryptography, covering attacks, algorithms, and security models.
Explores Cryptographic Security Models, including Diffie-Hellman and ElGamal Security, RSA, and practical encryption problems.
Introduces applied cryptography basics, historical encryption methods, and the concept of perfect secrecy with the One Time Pad.
Explores continuous random variables, density functions, joint variables, independence, and conditional densities.
Explores quantum random number generation, discussing the challenges and implementations of generating good randomness using quantum devices.
Introduces probability, statistics, distributions, inference, likelihood, and combinatorics for studying random events and network modeling.
Covers the norm of a matrix, operator, singular values, and unitary matrices in linear algebra.
Explores the challenges of generating random numbers and secret key generation in secure communication.
