2 minute read
Computer Science
Social Engineering Attacks During the Covid 19 Pandemic
Randy Andrews Zenia Bahorski, faculty mentor
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Covid 19 has caused many employees to work from home in an online environment. In April 2020, 95% of IT professionals reported an increase in security challenges, including accidentally downloading untested software or opening emails with ransomware attached (World Economic Forum, 2020; CNBC, 2020). The pandemic has also given cybercriminals an opportunity to use social engineering to scam people that are applying for government assistance (FBI National Press Office, 2020). In short, there is a need to create awareness of social engineering attacks for Internet users. This poster focuses on how Covid 19 has increased cyber security threats, and also strategies to prevent social engineering attacks.
Poster / Live Session 2 / 11:25 a.m.
Detecting Triangular Arbitrage Amongst Multiple Cryptocurrency Exchanges
Samuel Grone Weitian Tong, faculty mentor
Since the introduction of Bitcoin, alternative cryptocurrencies have exploded in number. It was once believed that a few cryptocurrencies would eventually drive out competitors. This assumption turned out to be incorrect. Thousands of cryptocurrencies exist concurrently. A question that arises for cryptocurrencies is how they compare to fiat currencies. Fiat currencies are often traded in an attempt to earn profit by taking advantage of price inefficiencies between the fiat currencies. We will explore how this translates to cryptocurrencies by evaluating historical price data for several cryptocurrencies to assess the prevalence of arbitrage in cryptocurrency markets.
Poster / Q&A Session 1
Network Design Training Game
Blake Johnson, Samuel Grone, Kyle Frownfelter and Nicholas Garska Krish Narayanan, faculty mentor
The Detroit Community Technology Project (DCTP) helps set up affordable internet for low income housing in Detroit. It trains residents to build and maintain neighborhood-governed community wireless networks. One aspect of the training program includes designing the internet infrastructure. With the support of Ford Community Corp (FCC) scholarships, we have developed a video game that allows students in this program to practice building networks with different types of antennas. The goal of the game is to build an efficient network, so that the smallest number of antennas can serve the largest number of homes. We developed this game on the Unity gaming platform and C# programming language.
Oral / Q&A Session A
Explore the Impact of Covid 19 on U.S. Rental Housing Market via Deep Learning
Emily Tracht Weitian Tong, faculty mentor
Covid 19 has impacted the lives of many, not only physically but financially as well. During this time, the entertainment, retail, and travel industries have taken a significant hit. A large portion of those who have been affected by the loss of jobs is renters. In addition to working and learning from home, other actions have been applied to reduce the spread. This has resulted in homes being turned into offices, classrooms, gyms, and entertainment areas. Being able to afford a home is more important now than ever. We will be exploring the effects Covid 19 has on the United States rental market through deep learning with the use of Python and numerous data handling libraries.
