This assignment explores traffic tracing and network packet analysis using Wireshark in a virtualized lab environment. It examines ICMP, DNS, and FTP traffic to understand packet flow, filtering techniques, response behavior, and the security risks of plaintext protocols through hands-on analysis.
Category: Threat Detection
How Linear Algebra and Probability Distributions Concepts Are Utilized in Various ML Models
This essay explains how linear algebra and probability distributions form the mathematical foundation of machine learning models. It explores how vectors, matrices, tensors, and probabilistic reasoning enable learning, prediction, and uncertainty handling in modern ML systems.