This study investigates the viability of using Human Intelligence Tasks (HIT) in password categorization. To achieve this, this study constructs and performs a HIT experiment on the online crowdsourcing platform Amazon Mechanical Turks. The study performs the experiment on the site Amazon Mechanical Turks, and gathers data in the form of answers from the workers. A a mixed quantitative and qualitative analysis of the data is performed to investigate on the workers ability to derive the categories of passwords from different categories and difficulties. The study results indicate that HIT workers seem to be unable to reliable categorize more complex passwords correctly, compared to more common and simple passwords. With this result, the study concludes that the quality and reliability of HIT password categorization is lower than would be required to make HIT a valid method for password categorization. The study ends with a discussion on how and why this may be the case and briefly discuss on how the HIT task might be changed in future development to increase its viability.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:his-15731 |
| Date | January 2018 |
| Creators | Palm, Christopher |
| Publisher | Högskolan i Skövde, Institutionen för informationsteknologi |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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