Pseudo random number generation lab solution

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Carry out the pseudo-random numbers generation lab found on below URL. PDF also attached
SEED Labs – Pseudo Random Number Generation Lab 1 Pseudo Random Number Generation Lab Copyright © 2018 Wenliang Du, Syracuse University. The development of this document was partially funded by the National Science Foundation under Award No. 1303306 and 1718086. This work is licensed under a Creative Commons Attribution-NonCommercialShareAlike 4.0 International License. A human-readable summary of (and not a substitute for) the license is the following: You are free to copy and redistribute the material in any medium or format. You must give appropriate credit. If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original. You may not use the material for commercial purposes. 1 Overview Generating random numbers is a quite common task in security software. In many cases, encryption keys are not provided by users, but are instead generated inside the software. Their randomness is extremely important; otherwise, attackers can predict the encryption key, and thus defeat the purpose of encryption. Many developers know how to generate random numbers (e.g. for Monte Carlo simulation) from their prior experiences, so they use the similar methods to generate the random numbers for security purpose. Unfortunately, a sequence of random numbers may be good for Monte Carlo simulation, but they may be bad for encryption keys. Developers need to know how to generate secure random numbers, or they will make mistakes. Similar mistakes have been made in some well-known products, including Netscape and Kerberos. In this lab, students will learn why the typical random number generation method is not appropriate for generating secrets, such as encryption keys. They will further learn a standard way to generate pseudo random numbers that are good for security purposes. This lab covers the following topics: • • • • Pseudo random number generation Mistakes in random number generation Generating encryption key The /dev/random and /dev/urandom device files Lab