ENEE 426 Problem Set #6, Spring 2008, Assignments of Organizational Communication

A problem set for the enee 426 course, which was offered in spring 2008. The set includes six problems related to information theory, entropy, huffman coding, wifi security, and queuing disciplines. Students are required to complete problems 1 through 6 and submit lab reports for problems 9 and 10.

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Pre 2010

Uploaded on 07/30/2009

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Problem Set #6
ENEE 426, Spring 2008
Due: Monday, May 11
Complete the following problems:
1. Compute the entropy of the following random variables: (5 pts)
a. The roll of a die Pr[X={1, 2, …, 6}] = 1/6
b. A biased coin Pr[X=heads]=3/4; Pr[X=tails]=1/4
2. Compute the entropy of characters from the English alphabet. Use the character frequencies
listed on the Wikipedia entry: http://en.wikipedia.org/wiki/English_alphabet (10 pts)
3. Develop a Huffman Code to optimally encode the alphabet from #2. (10 pts)
4. Suggest a way to achieve better compression of English text over using Huffman codes on a per-
character alphabet, which has an actual entropy of around 4.7 bits per character (smaller than
the number found in #2). (5 pts)
5. What properties of WiFi make MAC-layer encryption more necessary than in a wired Ethernet
network? (5 pts)
6. Describe possible attacks that could be occurring if you visit a website whose certificate is
invalid? (5 pts)
Complete the following additional problem (50 points):
1. Complete Laboratory 9, Queuing Disciplines”, from the Network Simulations Experiment
Manual
a. Turn in a lab report, as described in the manual, that includes the answers to the
questions and graphs generated during the experiments
2. Extra Credit: Complete Laboratory 10 for 50 extra credit points

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Problem Set #

ENEE 426, Spring 2008

Due: Monday, May 11

Complete the following problems:

  1. Compute the entropy of the following random variables: (5 pts) a. The roll of a die – Pr[X={1, 2, …, 6}] = 1/ b. A biased coin – Pr[X=heads]=3/4; Pr[X=tails]=1/
  2. Compute the entropy of characters from the English alphabet. Use the character frequencies listed on the Wikipedia entry: http://en.wikipedia.org/wiki/English_alphabet (10 pts)
  3. Develop a Huffman Code to optimally encode the alphabet from #2. (10 pts)
  4. Suggest a way to achieve better compression of English text over using Huffman codes on a per- character alphabet, which has an actual entropy of around 4.7 bits per character (smaller than the number found in #2). (5 pts)
  5. What properties of WiFi make MAC-layer encryption more necessary than in a wired Ethernet network? (5 pts)
  6. Describe possible attacks that could be occurring if you visit a website whose certificate is invalid? (5 pts)

Complete the following additional problem (50 points):

  1. Complete Laboratory 9, “Queuing Disciplines”, from the Network Simulations Experiment Manual a. Turn in a lab report, as described in the manual, that includes the answers to the questions and graphs generated during the experiments 2. Extra Credit: Complete Laboratory 10 for 50 extra credit points