15 citations · 60 across the 31 of their papers we have counts for
12 papers · 1 filter
How Blind and Low-Vision Users Manage Their Passwords
Alexander Ponticello, Filipo Sharevski, Simon Anell +1
Managing passwords securely and conveniently is still an open problem for many users. Existing research has examined users' password management strategies and identified pain point…
'Debunk-It-Yourself': Health Professionals' Strategies for Responding to Misinformation on TikTok
Filipo Sharevski, Jennifer Vander Loop, Amy Devine +2
Misinformation is "sticky" in nature, requiring a considerable effort to undo its influence. One such effort is debunking or exposing the falsity of information. As an abundance of…
(Blind) Users Really Do Heed Aural Telephone Scam Warnings
Filipo Sharevski, Jennifer Vander Loop, Bill Evans +1
This paper reports on a study exploring how two groups of individuals, legally blind (n=36) and sighted ones (n=36), react to aural telephone scam warnings in naturalistic settings…
"Oh, sh*t! I actually opened the document!": An Empirical Study of the Experiences with Suspicious Emails in Virtual Reality Headsets
Filipo Sharevski, Jennifer Vander Loop, Sarah Ferguson
This paper reports on a study exploring user experiences with suspicious emails and associated warnings when accessed through virtual reality (VR) headsets in realistic settings. A…
Gone Quishing: A Field Study of Phishing with Malicious QR Codes
Filipo Sharevski, Amy Devine, Emma Pieroni +1
The COVID-19 pandemic enabled "quishing", or phishing with malicious QR codes, as they became a convenient go-between for sharing URLs, including malicious ones. To explore the qui…
TrollHunter2020: Real-Time Detection of Trolling Narratives on Twitter During the 2020 US Elections
Peter Jachim, Filipo Sharevski, Emma Pieroni
This paper presents TrollHunter2020, a real-time detection mechanism we used to hunt for trolling narratives on Twitter during the 2020 U.S. elections. Trolling narratives form on…
TrollHunter [Evader]: Automated Detection [Evasion] of Twitter Trolls During the COVID-19 Pandemic
Peter Jachim, Filipo Sharevski, Paige Treebridge
This paper presents TrollHunter, an automated reasoning mechanism we used to hunt for trolls on Twitter during the COVID-19 pandemic in 2020. Trolls, poised to disrupt the online d…
WikipediaBot: Automated Adversarial Manipulation of Wikipedia Articles
Filipo Sharevski, Peter Jachim
This paper presents an automated adversarial mechanism called WikipediaBot. WikipediaBot allows an adversary to create and control a bot infrastructure for the purpose of adversari…
To Tweet or Not to Tweet: Covertly Manipulating a Twitter Debate on Vaccines Using Malware-Induced Misperceptions
Filipo Sharevski, Peter Jachim, Kevin Florek
Trolling and social bots have been proven as powerful tactics for manipulating the public opinion and sowing discord among Twitter users. This effort requires substantial content f…
Meet Malexa, Alexa's Malicious Twin: Malware-Induced Misperception Through Intelligent Voice Assistants
Filipo Sharevski, Paige Treebridge, Peter Jachim +3
This paper reports the findings of a study where users (N=220) interacted with Malexa, Alexa's malicious twin. Malexa is an intelligent voice assistant with a simple and seemingly…
Manipulation of Perceived Politeness in a Web-based Email Discourse Through a Malicious Browser Extension
Filipo Sharevski, Paige Treebridge, Jessica Westbrook
This paper presents a specific man-in-the-middle exploit: Ambient Tactical Deception (ATD) in online communication, realized via a malicious web browser extension. Extensions manip…
The CATS Hackathon: Creating and Refining Test Items for Cybersecurity Concept Inventories
Alan T. Sherman, Linda Oliva, Enis Golaszewski +12
For two days in February 2018, 17 cybersecurity educators and professionals from government and industry met in a "hackathon" to refine existing draft multiple-choice test items, a…