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Beware Of Ips In Sheep's Clothing: Measurement And Disclosure Of Ip Spoofing Vulnerabilities, Alden Douglas Hilton
Beware Of Ips In Sheep's Clothing: Measurement And Disclosure Of Ip Spoofing Vulnerabilities, Alden Douglas Hilton
Theses and Dissertations
Networks not employing destination-side source address validation (DSAV) expose themselves to a class of pernicious attacks which could be prevented by filtering inbound traffic purporting to originate from within the network. In this work, we survey the pervasiveness of networks vulnerable to infiltration using spoofed addresses internal to the network. We issue recursive Domain Name System (DNS) queries to a large set of known DNS servers world-wide using various spoofed-source addresses. In late 2019, we found that 49% of the autonomous systems we tested lacked DSAV. After a large-scale notification campaign run in late 2020, we repeated our measurements in …
Who Uses Multi-Factor Authentication?, Leah Roberts
Who Uses Multi-Factor Authentication?, Leah Roberts
Undergraduate Honors Theses
A sample of 47 BYU students were recruited to participate in this study to determine who was using Multi-factor Authentication (MFA) on their online accounts. This study determined that there were many different factors that separated those who used MFA and those who did not. Some of those factors included: time spent on the internet each day, gender, the website itself, and personal privacy behaviors.
Realium: Building The Future Of Real Estate On The Blockchain, Demitri Haddad
Realium: Building The Future Of Real Estate On The Blockchain, Demitri Haddad
Undergraduate Honors Theses
This paper discusses the prospective challenges, limitations and opportunities in the real estate sector for blockchain. It outlines the idea of Realium, a financial technology application that aims to assist in the purchase, sale, and legal compliance of real estate assets. For more information see docs.realium.io
The Communicative Effects Of Anonymity Online: A Natural Language Analysis Of The Faceless, Caleb Johnson
The Communicative Effects Of Anonymity Online: A Natural Language Analysis Of The Faceless, Caleb Johnson
Undergraduate Honors Theses
An ever-increasing number of Americans have an active social media
presence online. As of March 2020, an estimated 79% of Americans were active
monthly users of some sort. Many of these online platforms allow users to
operate anonymously which could potentially lead to shifts in communicative
behavior. I first discuss my compilation process of the Twitter Anonymity
Dataset (TAD), a human-classified dataset of 100,000 Twitter accounts that are
categorized by their level of identifiability to their real-world agent. Next, I
investigate some of the structural differences between the classification levels
and employ a variety of Natural Language Processing models and …