DNS (Domain Name System) is the Internet’s phone book; it translates hostnames to IP addresses (and vice versa). This translation is through DNS resolution, which happens behind the scene. DNS attacks manipulate this resolution process in various ways, with an intent to misdirect users to alternative destinations, which are often malicious. The objective of this lab is to understand how such attacks work. Students will first set up and configure a DNS server, and then they will try various DNS attacks on the target that is also within the lab environment.

Submission is through WebCMS/give and should be a single pdf file, maximum size 2Mb. Prose should be typed, not handwritten. Use of LATEX is encouraged, but not required. Discussion of assignment material with others is permitted, but the work submitted must be your own in line with the University’s plagiarism policy.

Compare errors for the Composite Trapezoidal Rule for h = 0.00125 and for Richardson extrapolation for h = 0.01. Are they similar or different? Which of the two formulas is more efficient to use: Composite Trapezoidal Rule for h = 0.00125 or Richardson extrapolation for h = 0.01. Explain your answer.

Your solutions should be submitted electronically in the form of a PDF document using the submission portal on the ST346 Moodle page. Please remember to include only your ID number on your submission to allow anonymous marking.

5 Many developed economies operate within a floating exchange rate regime. Where a country has a floating exchange rate, identify and discuss the circumstances in which the central bank of that country might conduct transactions in the FX market.

November 19, 2020, 2:00 pm to 2:50pm – 50 minutes total

Your answers to the problems in this section should be proofs, unless otherwise stated. F is a field, V and W are vector spaces over F.

The goal for Assignment 2 is to modify your single-threaded RPC server from Assignment 1 to provide multi-threading and to provide a simple key-value store for mathematical operations. It must still provide all of the original functionality from Assignment 1, and will support the following additional features: 1. Multiple threads, one per client, up to 16 simultaneous threads serving clients. 2. Support for variables in math operations. This requires that values be stored in a key-value store. 3. Sharing of the key-value store across all server threads, and synchronization between the server threads for reading and writing key-value pairs. As usual, you must have a design document and writeup along with your README.md in your git repository. Your code must build rpcserver using make.

Sentiment Analysis is a branch of Natural Language Processing (NLP) that allows us to determine algorithmically whether a statement or document is “positive” or “negative”. Sentiment analysis is a technology of increasing importance in the modern society as it allows individuals and organizations to detect trends in public opinion by analyzing social media content. Keeping abreast of socio-political developments is especially important during periods of policy shifts such as election years, when both electoral candidates and companies can benefit from sentiment analysis by making appropriate changes to their campaigning and business strategies respectively. The purpose of this assignment is to compute the sentiment of text information, in our case tweets posted during the 2016 Canadian elections, and answer the question regarding: “Can we use Sentiment analysis on Twitter data to get an insight into the American’s political landscape?”

For this project, we will compare the price and trading volume of Bitcoins across different exchanges. The deadline for this project is Dec 2, 2020 (at 11:59pm). Bitcoins exchanges act as market makers between buyers and sellers. It is not uncommon for different exchanges to quote different prices at the same time. This does not necessarily lead to arbitrage opportunities because of bid-ask spreads, fees, and other frictions.