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Contribution Details
| Type | Bachelor's Thesis |
| Scope | Discipline-based scholarship |
| Title | Detection, Identification and Categorisation of IoT devices on iOS |
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| Institution | University of Zurich |
| Faculty | Faculty of Business, Economics and Informatics |
| Date | 2023 |
| Abstract Text | The Internet of Things (IoT) has experienced significant growth in recent years, particularly in the area of wireless communication technologies. This thesis focuses on Bluetooth Low Energy (BLE) communication, which has become increasingly important in the IoT ecosystem. Specifically, this research analyses the process of detecting BLE advertisements using an iPhone, and saving the data to an external database. In order to achieve this, a BLE scanner application was developed, capable of storing information found in its vicinity for later analysis. Due to limiting hardware and the constraints of iOS, it is difficult to gather general information about advertising data of BLE peripherals. By scanning thousands of devices, it was discovered that a significant number of peripherals either do not share any advertising data or the data cannot be accessed on iOS. The data that is received can be analyzed and utilized to extract device information. The manufacturer can be identified under certain criteria by examining the payload of the advertising data, and it is suggested that device categorisation might also be obtainable. |
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