1,096 research outputs found

    XRay: Enhancing the Web's Transparency with Differential Correlation

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    Today's Web services - such as Google, Amazon, and Facebook - leverage user data for varied purposes, including personalizing recommendations, targeting advertisements, and adjusting prices. At present, users have little insight into how their data is being used. Hence, they cannot make informed choices about the services they choose. To increase transparency, we developed XRay, the first fine-grained, robust, and scalable personal data tracking system for the Web. XRay predicts which data in an arbitrary Web account (such as emails, searches, or viewed products) is being used to target which outputs (such as ads, recommended products, or prices). XRay's core functions are service agnostic and easy to instantiate for new services, and they can track data within and across services. To make predictions independent of the audited service, XRay relies on the following insight: by comparing outputs from different accounts with similar, but not identical, subsets of data, one can pinpoint targeting through correlation. We show both theoretically, and through experiments on Gmail, Amazon, and YouTube, that XRay achieves high precision and recall by correlating data from a surprisingly small number of extra accounts.Comment: Extended version of a paper presented at the 23rd USENIX Security Symposium (USENIX Security 14

    A taxonomy of attacks and a survey of defence mechanisms for semantic social engineering attacks

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    Social engineering is used as an umbrella term for a broad spectrum of computer exploitations that employ a variety of attack vectors and strategies to psychologically manipulate a user. Semantic attacks are the specific type of social engineering attacks that bypass technical defences by actively manipulating object characteristics, such as platform or system applications, to deceive rather than directly attack the user. Commonly observed examples include obfuscated URLs, phishing emails, drive-by downloads, spoofed web- sites and scareware to name a few. This paper presents a taxonomy of semantic attacks, as well as a survey of applicable defences. By contrasting the threat landscape and the associated mitigation techniques in a single comparative matrix, we identify the areas where further research can be particularly beneficial

    Facing off : facebook and higher education

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    A social and cultural expectation that Information Communication Technologies (ICT) should be ubiquitous within peoples\u27 daily lives is apparent. Connecting generational groups with a specific set of technological attributes also assumes the ways that particular groups of students should be able/do “naturally” use emergent mobile and social technologies. Moreover, the use of social networking technologies is evident in a number of ways within higher education (HE) pedagogies. As part of the suite of possibilities in Web 2.0, Facebook is used in a number of ways to support communications within and between institutions and their students as well as a mechanism for teaching and learning within specific units of study.The chapter commences with a broad discussion about social sharing software of Web 2.0, specifically Facebook, as a potential teaching and learning tool in HE contexts. We traverse recent exemplars and discourses surrounding the use of social technologies for the purposes of HE. It is clear from the literature that while there is much excitement at the possibilities that such technologies offer, there are increasing anxieties across institutional and individual practitioners, in regard to possible consequences of their use.Through autoethnographic methodology, this chapter showcases potentials and challenges of Facebook in HE. Through the use of constructed scenarios, the authors describe occurrences that necessitate increasing professional development and vigilance online. Some of the issues highlighted within this chapter include blurring of professional and personal life world boundaries, issues of identity theft and vandalism, cyberstalking and bullying, working in the public domain, and questions of virtual integrity

    Spartan Daily, September 7, 1990

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    Volume 95, Issue 6https://scholarworks.sjsu.edu/spartandaily/8006/thumbnail.jp

    Private and censorship-resistant communication over public networks

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    Society’s increasing reliance on digital communication networks is creating unprecedented opportunities for wholesale surveillance and censorship. This thesis investigates the use of public networks such as the Internet to build robust, private communication systems that can resist monitoring and attacks by powerful adversaries such as national governments. We sketch the design of a censorship-resistant communication system based on peer-to-peer Internet overlays in which the participants only communicate directly with people they know and trust. This ‘friend-to-friend’ approach protects the participants’ privacy, but it also presents two significant challenges. The first is that, as with any peer-to-peer overlay, the users of the system must collectively provide the resources necessary for its operation; some users might prefer to use the system without contributing resources equal to those they consume, and if many users do so, the system may not be able to survive. To address this challenge we present a new game theoretic model of the problem of encouraging cooperation between selfish actors under conditions of scarcity, and develop a strategy for the game that provides rational incentives for cooperation under a wide range of conditions. The second challenge is that the structure of a friend-to-friend overlay may reveal the users’ social relationships to an adversary monitoring the underlying network. To conceal their sensitive relationships from the adversary, the users must be able to communicate indirectly across the overlay in a way that resists monitoring and attacks by other participants. We address this second challenge by developing two new routing protocols that robustly deliver messages across networks with unknown topologies, without revealing the identities of the communication endpoints to intermediate nodes or vice versa. The protocols make use of a novel unforgeable acknowledgement mechanism that proves that a message has been delivered without identifying the source or destination of the message or the path by which it was delivered. One of the routing protocols is shown to be robust to attacks by malicious participants, while the other provides rational incentives for selfish participants to cooperate in forwarding messages
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