Fraudulent pages are a danger to which all web users are exposed. These pages have illegitimate purposes such as the theft of sensitive user information. There are a lot of tools available on the market today that are aimed at detecting malicious pages, however, these are not reliable enough and that is why there is still a lot of room for future improvement. Therefore, further analysis of the malicious pages and their characteristics is a key element in protecting users and in the future in eradicating this type of malicious page. A systematic review of the literature has been conducted to generate a list of features that can be used to detect malicious pages and that can ensure a high level of accuracy. During the development of the study, the different articles on the subject have been compared and analysed. For this process of analysis, thematic coding has been used, a qualitative method of analysis, which means that an in-depth understanding of ideas has been pursued. The document presents the already cited list of characteristics as well as offering suggestions and ideas that can be used in the development of future
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:his-19048 |
| Date | January 2020 |
| Creators | Orive Múgica, Iker |
| 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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