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Browser Fingerprinting Using Web Assembly
Škuta, Matúš ; Koutenský, Michal (oponent) ; Polčák, Libor (vedoucí práce)
The main goal of this bachelor thesis is the implementation of device identification using Web Assembly technology. In this work we are discussing the existing methods of device identification, methods to prevent identification and ways to circumvent these barriers. We are also getting acquainted with the Brave browser, which seeks to reduce the identification of devices on the Internet. We are explaining how Web Assembly works, what are its positives, negatives and if we are able to bypass various defences against device identification thanks to this new technology. Next, we are looking at the several web APIs we are using to identify devices, and we are introducing a few extensions designed to prevent or completely limit device identification. Existing security extensions limit the activity of the Web Assembly, for example this work shows that the Web API Manager extension can neutralize the test page implemented in this work.
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Behaviour-Based Identification of Network Devices
Polák, Michael Adam ; Holkovič, Martin (oponent) ; Polčák, Libor (vedoucí práce)
This thesis deals with the topic of identifying devices based on their behaviour. With the increasing number of devices on the network, it is becoming more and more important to be able to identify these devices based on their behaviour, due to the increased security risks. General networking concepts and multiple methods that have been used in the past to identify devices are discussed throughout the work. Subsequently, machine learning algorithms and their advantages and disadvantages are introduced. Finally, this thesis tests two traditional machine learning algorithms and proposes two new approaches to network device identification. The resulting final algorithm achieves the accuracy of 89% on a real life data-set with over 10,000 devices using a set of only eight features.
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Behaviour-Based Identification of Network Devices
Polák, Michael Adam ; Holkovič, Martin (oponent) ; Polčák, Libor (vedoucí práce)
This thesis deals with the topic of identifying devices based on their behaviour. With the increasing number of devices on the network, it is becoming more and more important to be able to identify these devices based on their behaviour, due to the increased security risks. General networking concepts and multiple methods that have been used in the past to identify devices are discussed throughout the work. Subsequently, machine learning algorithms and their advantages and disadvantages are introduced. Finally, this thesis tests two traditional machine learning algorithms and proposes two new approaches to network device identification. The resulting final algorithm achieves the accuracy of 89% on a real life data-set with over 10,000 devices using a set of only eight features.
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Browser Fingerprinting Using Web Assembly
Škuta, Matúš ; Koutenský, Michal (oponent) ; Polčák, Libor (vedoucí práce)
The main goal of this bachelor thesis is the implementation of device identification using Web Assembly technology. In this work we are discussing the existing methods of device identification, methods to prevent identification and ways to circumvent these barriers. We are also getting acquainted with the Brave browser, which seeks to reduce the identification of devices on the Internet. We are explaining how Web Assembly works, what are its positives, negatives and if we are able to bypass various defences against device identification thanks to this new technology. Next, we are looking at the several web APIs we are using to identify devices, and we are introducing a few extensions designed to prevent or completely limit device identification. Existing security extensions limit the activity of the Web Assembly, for example this work shows that the Web API Manager extension can neutralize the test page implemented in this work.
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