Thesis in Progress

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Knowledge of global network state is crucial for several innovative network optimization techniques. Essentially, incorporating knowledge about the overall network state into locally made decisions at decentralized nodes might improve the overall network performance. A node might for instance perform transitions between network mechanisms that are optimized for certain network conditions. However, an individual node's scope of the network is limited in practice since it is able to overhear the wireless channel only locally, and explicit notification about global network state would result in large overhead. Therefore, we seek to extend a node's view into the network by means of machine learning techniques.

Using their current operating systems, it is possible to automatically unlock a Mac with a paired Apple Watch. The Auto Unlock protocol relies on Bluetooth and Apple’s proprietary WiFi extensions known as Apple Wireless Direct Link (AWDL) which is currently being reverse engineered in our group.

Your job is to find out more about the workings of the protocol and assess the security properties of the system. For example whether it is possible to mount a wormhole attack to allow an adversary to remotely unlock the computer.

OpenVLC

Bachelor Thesis


OpenVLC

Bachelor Thesis





Prof. Dr.-Ing. Matthias Hollick

Technische Universität Darmstadt
Department of Computer Science
Secure Mobile Networking Lab 

Mornewegstr. 32 (S4/14)
64293 Darmstadt, Germany

Phone: +49 6151 16-25472
Fax: +49 6151 16-25471
office@seemoo.tu-darmstadt.de

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