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See detailInvestigating Fingerprinters and Fingerprinting-Alike Behaviour of Android Applications
Ferreira Torres, Christof UL; Jonker, Hugo

in 23rd European Symposium on Research in Computer Security, Barcelona, Spain, September 3-7, 2018 (2018)

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See detailFormal modelling and analysis of receipt-free auction protocols in applied pi
Dong, Naipeng; Jonker, Hugo; Pang, Jun UL

in Computers & Security (2017), 65

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See detailReverse Bayesian poisoning: How to use spam filters to manipulate online elections
Jonker, Hugo; Mauw, Sjouke UL; Schmitz, Tom UL

in Krimmer, L. (Ed.) Proc. 2nd International Joint Conference on Electronic Voting (2017)

E-voting literature has long recognised the threat of denial-of-service attacks: as attacks that (partially) disrupt the services needed to run the voting system. Such attacks violate availability ... [more ▼]

E-voting literature has long recognised the threat of denial-of-service attacks: as attacks that (partially) disrupt the services needed to run the voting system. Such attacks violate availability. Thankfully, they are typically easily detected. We identify and investigate a denial-of-service attack on a voter's spam filters, which is not so easily detected: reverse Bayesian poisoning, an attack that lets the attacker silently suppress mails from the voting system. Reverse Bayesian poisoning can disenfranchise voters in voting systems which rely on emails for essential communication (such as voter invitation or credential distribution). The attacker stealthily trains the voter's spam filter by sending spam mails crafted to include keywords from genuine mails from the voting system. To test the potential effect of reverse Bayesian poisoning, we took keywords from the Helios voting system's email templates and poisoned the Bogofilter spam filter using these keywords. Then we tested how genuine Helios mails are classified. Our experiments show that reverse Bayesian poisoning can easily suppress genuine emails from the Helios voting system. [less ▲]

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See detailA security perspective on publication metrics
Jonker, Hugo; Mauw, Sjouke UL

in Stajano, F. (Ed.) Proc. 25th Security Protocols Workshop (2017)

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See detailFP-Block: Usable Web Privacy by Controlling Browser Fingerprinting
Ferreira Torres, Christof UL; Jonker, Hugo; Mauw, Sjouke UL

in Pernul, Günther; Y A Ryan, Peter; Weippl, Edgar (Eds.) Computer Security -- ESORICS 2015 (2015)

Online tracking of users is used for benign goals, such as detecting fraudulent logins, but also to invade user privacy. We posit that for non-oppressed users, tracking within one website does not have a ... [more ▼]

Online tracking of users is used for benign goals, such as detecting fraudulent logins, but also to invade user privacy. We posit that for non-oppressed users, tracking within one website does not have a substantial negative impact on privacy, while it enables legitimate benefits. In contrast, cross-domain tracking negatively impacts user privacy, while being of little benefit to the user. Existing methods to counter fingerprint-based tracking treat cross-domain tracking and regular tracking the same. This often results in hampering or disabling desired functionality, such as embedded videos. By distinguishing between regular and cross-domain tracking, more desired functionality can be preserved. We have developed a prototype tool, FP-Block, that counters cross-domain fingerprint-based tracking while still allowing regular tracking. FP-Block ensures that any embedded party will see a different, unrelatable fingerprint for each site on which it is embedded. Thus, the user’s fingerprint can no longer be tracked across the web, while desired functionality is better preserved compared to existing methods. [less ▲]

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