Neurocryptographic Bluetooth-attack prevention system

The current development of means of communication in the modern world affects the sphere of digital data transmission using various wireless protocols. Among these protocols, Bluetooth and Wi-Fi transmission protocols can be distinguished. The Wi-Fi protocol is used to transmit big data and exchange information between two functional carriers, while Bluetooth enables the transmission of multi-format audio and text data, as well as the transmission of service control signals of devices. The development of Bluetooth technology in portable devices makes the problem of insufficient data security between two devices urgent. The existing means of exploiting vulnerabilities allow not only to clone the Bluetooth device's network address, but also to intercept and modify confidential information. To solve this problem, a multiplatform software was developed aimed at preventing attacks such as L2Ping., Redfang., and tools for scanning the airwaves and algorithms for embedding audio tracks into audio devices using the Carwhisperer method. The method is based on predictive processing of a segment of available devices to replace the BT address in case of an attack detection. Noteworthy is the tracking of device load states using a deep learning neural network in order to protect the protocol from dos attacks.