![]() ![]() ![]() To sniff all network device advertisements, start Wireshark using the nRF Sniffer interface and choose “all advertising devices” as the device in the interface toolbar.There are three relevant Adafruit + nRF Sniffer modes for the project. The option “All advertising devices” allows the user to show all the advertisement packets for all devices within range that are advertisting, instead of looking at a specific device.įigure 2: Interface Toolbar settings specific to the pair of hearing aids. “Emma -67 dBm” refers to the name of the hearing aid pair being used and selecting this device shows all the packets that involves the hearing aid pair, either as the source or the destination. The interface name may be slightly different per nRF Sniffer installation, but it will follow the pattern COM#. The interface selected, COM5, is the nRF Sniffer Interface (and was also the only option). Once the toolbar has been toggled on, there are specific settings required to view the hearing aid traffic. This toolbar allows the BLE packets being viewed to be changed on a per-device basis.įigure 1: How to activate the nRF Sniffer interface in Wireshark. This can be done within View àInterface Toolbars à nRF Sniffer for Bluetooth LE. Within Wireshark, the “nRF Sniffer for Bluetooth LE” interface toolbar must be activated. However, further setup not outlined within the source is necessary. The majority of the Sniffer setup can be performed by following the steps for “USB Driver Install” and “Using with Sniffer V2” included within Source 1. Wireshark: A packet capture and analysis tool.NRF Sniffer for Bluetooth LE: Firmware that bridges the sniffer with Wireshark.CP210x Universal Windows Driver: USB to UART bridge VCP driver for the packet sniffer.Bluetooth Low Energy Sniffer: USB packet sniffer for capturing BLE traffic.Opn 3 miniRITE: Hearing aid with built-in Bluetooth Low Energy capabilities.Table 1: The materials and software dependencies that were used for this project. ![]() A study of BLE network traffic is performed by using a BLE packet sniffer to capture traffic between two hearing aids paired to the phone as a single device and analysis of this traffic is performed to establish a generic traffic pattern. The relationship between Internet of Things (IoT) medical devices and cybersecurity is under-researched, particularly research of network traffic being communicated from Internet-connected medical devices. This project aims to analyze communications over Bluetooth Low Energy (BLE) protocols between hearing aids and phones. ![]()
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