Abstract
Online safety regularly depends on users' ability to know either where a URL is likely to lead or identify when they are on a site other than they expect. Unfortunately, the combination of low URL reading ability in the general population and the use of hard-to-detect approaches like look-alike letters, makes the reading of URLs quite challenging for people. We design a Slack chat bot, named Faheem, which assists users in identifying potentially fraudulent URLs while also teaching them about URL reading and common malicious tactics. In this work we describe the design of the chat bot and provide an initial evaluation. We find that Faheem does a good job of interactively helping users identify issues with URLs, but Faheem users show minimal retention of knowledge when they loose access to the tool.
Original language | English |
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Title of host publication | Symposium on Digital Behaviour Intervention for Cyber Security |
Place of Publication | Liverpool, UK |
Pages | 1-8 |
Number of pages | 8 |
Publication status | Published - 2018 |
Event | AISB 2018 Symposium on Swarm Intelligence & Evolutionary Computation - University of Liverpool, Liverpool, United Kingdom Duration: 4 Apr 2018 → 6 Apr 2018 https://sites.google.com/site/aisb2018si/ |
Conference
Conference | AISB 2018 Symposium on Swarm Intelligence & Evolutionary Computation |
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Abbreviated title | AISB 2018 |
Country/Territory | United Kingdom |
City | Liverpool |
Period | 4/04/18 → 6/04/18 |
Internet address |
Keywords
- usable security
- human computer interaction
- URL