Identifying Failures in Mobile Devices

Mobile devices are well-known communication tools. People, especially young people, cannot go even one step without them. Technological advancements provide better features, but at the same time, such systems still face security risks. Protective layers do exist, but some systems are automated and engineered, while others rely on humans. This work begins with examining some critical points related to the weakest link in the security chain: the human factor. Errors are given in the view of the Swiss Cheese Model by emphasizing the role of latent conditions in "holes". We found that the Swiss Cheese Model has some limitations. In order to enhance it, we have used the Failure Mode and Effect Analysis risk matrix methodology. Thus, we represent its application on mobile devices to demonstrate that it can give us more accurate results by identifying the most critical points where manufacturers should focus on. This work is based on qualitative data, and it provides the basis for quantitative research. In the end, we suggest that in order to obtain more accurate findings, the Failure Mode and Effect Analysis can be further extended.