Please use this identifier to cite or link to this item: http://hdl.handle.net/10216/106919
Author(s): Pedro Manuel Vasconcelos Fonseca
Title: Performance of side-channel attacks on encrypted 802.11 web traffic and impact of network-level noise
Issue Date: 2017-07-05
Abstract: In today's world, Wi-Fi networks are widespread and intertwined with our daily lives: we access them through our smartphones, our tablets and our laptops. This means that inevitably a lot of sensitive data is transferred through these networks. Encryption, which is present in virtually every Wi-Fi network, helps protect this data. Nonetheless, through side-channel attacks it is possible to obtain information and potentially breach a user's privacy. This thesis has the objective of devising such an attack, in order to identify the website a given user is accessing. A solid dataset, consisting of numerous captures pertaining to a specific website, provides the means for an algorithm based on machine learning to classify a traffic capture. Another objective is to study the effect of network-level noise on the accuracy of the algorithm.
Description: No mundo de hoje, as redes Wi-Fi estão difundidas por toda a parte e interligadas ao nosso dia-a-dia: acedemos-lhes através dos nossos smartphones, tablets e telemóveis. Isto significa que inevitavelmente muitos dados sensíveis são transmitidos através destas redes. A encriptação, que está presente em virtualmente todas as redes Wi-Fi, ajuda a proteger estes dados. Ainda assim, através de ataques side-channel é possível obter informação e potencialmente quebrar a privacidade de um utilizador. Esta tese tem o objetivo de desenvolver um destes ataques, de forma a identificar o website a que um utilizador está a aceder. Um dataset sólido, consistindo em numerosas capturas relativas a websites específicos, providencia os meios para que um algoritmo baseado em machine learning classifique uma captura de tráfego. Outro objetivo é estudar o efeito do ruído ao nível da rede na eficácia do algoritmo.
Subject: Engenharia electrotécnica, electrónica e informática
Electrical engineering, Electronic engineering, Information engineering
TID identifier : 201802279
URI: http://hdl.handle.net/10216/106919
Document Type: Dissertação
Rights: openAccess
Appears in Collections:FEUP - Dissertação

Files in This Item:
File Description SizeFormat 
208242.pdfPerformance of side-channel attacks on encrypted 802.11 web traffic and impact of network-level noise2.48 MBAdobe PDFThumbnail
View/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.