Reference no: EM133823528

Network Security Assignment

Predictability of the random() function in C using Machine Learning

Problem Statement
In this assignment, you will explore the predictability of the random() function in C, which is implemented in the GNU C Library (glibc). The random() function is a pseudo-random number generator (PRNG), and your task is to build a next bit predictor that predicts whether the next number generated by random() will be odd or even. You will use machine learning and deep learning algorithms to train your model on a dataset generated by the random() function and evaluate its performance on a separate test dataset.

Objectives
Generate a dataset of 1 million random numbers using the random() function in C.
Train a machine learning/deep learning model to predict whether the next number generated by random() will be odd or even.
Test your model on a separate dataset of 1 million random numbers.
Evaluate the accuracy of your model and analyze its performance.
Expected Output
Code:
A C program to generate the dataset of 2 million random numbers.
Python or any other programming language code for model training, and testing.
Trained Models
Results: A table comparing the accuracy of the different models on the test dataset.
Report: A detailed report (2-3 pages) including:
Description of the dataset and features used.
Explanation of the models and algorithms used.
Results and analysis of model performance.
Discussion on the predictability of the random() function.