Matches in ScholarlyData for { ?s ?p ?o. }
- 872 abstract "Cross-site scripting flaws have now surpassed buffer overflows as the world's most common publicly-reported security vulnerability. In recent years, browser vendors and researchers have tried to develop client-side filters to mitigate these attacks. We analyze the best existing filters and find them to be either unacceptably slow or easily circumvented. Worse, some of these filters actually introduce exploitable vulnerabilities into sites that were previously bug-free. We propose a new filter design that achieves both high performance and high precision by blocking scripts after HTML parsing but before execution. Compared to previous approaches, our approach is faster, protects against more vulnerabilities, and is harder for attackers to abuse. We have contributed an implementation of our filter design to the WebKit open source rendering engine, and the filter is now enabled by default in the Google Chrome browser.".
- 872 hasAuthorList authorList.
- 872 isPartOf proceedings.
- 872 keyword "Browser security issues".
- 872 keyword "defenses".
- 872 keyword "including attacks".
- 872 keyword "policy models".
- 872 title "Regular Expressions Considered Harmful in Client-Side XSS Filters".
- authorList type List.
- authorList hasFirstItem item-1.
- authorList hasItem item-1.
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- item-1 hasContent daniel-bates.
- item-1 next item-2.
- item-2 type ListItem.
- item-2 hasContent adam-barth.
- item-2 next item-3.
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- item-3 type ListItem.
- item-3 hasContent collin-jackson.
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- 874 creator makoto-okazaki.
- 874 creator takeshi-sakaki.
- 874 creator yutaka-matsuo.
- 874 type InProceedings.
- 874 label "Earthquake Shakes Twitter Users: Real-time Event Detection by Social Sensors".
- 874 sameAs 874.
- 874 abstract "Twitter, a popular microblogging service, has received much attention recently. An important characteristic of Twitter is its real-time nature. For example, when an earthquake occurs, people make many Twitter posts (tweets) related to the earthquake, which enables detection of earthquake occurrence promptly, simply by observing the tweets. As described in this paper, we investigate the real-time interaction of events such as earthquakes, in Twitter, and propose an algorithm to monitor tweets and to detect a target event. To detect a target event, we devise a classifier of tweets based on features such as the keywords in a tweet, the number of words, and their context. Subsequently, we produce a probabilistic spatiotemporal model for the target event that can find the center and the trajectory of the event location. We consider each Twitter user as a sensor and apply Kalman filtering and particle filtering, which are widely used for location estimation in ubiquitous/pervasive computing. As an application, we construct an earthquake reporting system in Japan. Because of the numerous earthquakes and the large number of Twitter users throughout the country, we can detect an earthquake by monitoring tweets with high probability (96\% of earthquakes of Japan Meteorological Agency (JMA) seismic intensity scale 3 or more are detected). Our system detects earthquakes promptly and sends e-mails to registered users. In many cases, the e-mails can be received before an earthquake actually arrives. Notification is delivered much faster than the announcements that are broadcast by the JMA.".
- 874 hasAuthorList authorList.
- 874 isPartOf proceedings.
- 874 keyword "Social media".
- 874 keyword "blog analysis".
- 874 title "Earthquake Shakes Twitter Users: Real-time Event Detection by Social Sensors".
- authorList type List.
- authorList hasFirstItem item-1.
- authorList hasItem item-1.
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- item-1 type ListItem.
- item-1 hasContent takeshi-sakaki.
- item-1 next item-2.
- item-2 type ListItem.
- item-2 hasContent makoto-okazaki.
- item-2 next item-3.
- item-2 previous item-1.
- item-3 type ListItem.
- item-3 hasContent yutaka-matsuo.
- item-3 previous item-2.
- 889 creator krysta-svore.
- 889 creator paul-n-bennett.
- 889 creator susan-dumais.
- 889 type InProceedings.
- 889 label "Classification-Enhanced Ranking".
- 889 sameAs 889.
- 889 abstract "Many have speculated that classifying web pages can improve a search engine's ranking of results relevant to a query. Intuitively results should be more relevant when they match the class of a query. We present a simple framework for classification-enhanced ranking that uses clicks in combination with the classification of web pages to derive a class distribution for the query. We then go on to define a variety of features that capture the match between the class distributions of a web page and a query, the ambiguity of a query, and the coverage of a retrieved result relative to a query's set of classes. Experimental results demonstrate that a ranker learned with these features significantly improves ranking over a competitive baseline. Furthermore, our methodology is agnostic with respect to the classification space, and therefore is general enough to be used as a mechanism to derive query classes for a variety of orthogonal taxonomies.".
- 889 hasAuthorList authorList.
- 889 isPartOf proceedings.
- 889 keyword "Query processing".
- 889 keyword "diversity".
- 889 keyword "ranking".
- 889 keyword "relevance".
- 889 keyword "retrieval".
- 889 title "Classification-Enhanced Ranking".
- authorList type List.
- authorList hasFirstItem item-1.
- authorList hasItem item-1.
- authorList hasItem item-2.
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- item-1 hasContent paul-n-bennett.
- item-1 next item-2.
- item-2 type ListItem.
- item-2 hasContent krysta-svore.
- item-2 next item-3.
- item-2 previous item-1.
- item-3 type ListItem.
- item-3 hasContent susan-dumais.
- item-3 previous item-2.
- 897 creator anne-aula.
- 897 creator paul-fontes.
- 897 creator peter-hong.
- 897 creator rehan-khan.
- 897 creator zhiwei-guan.
- 897 type InProceedings.
- 897 label "A comparison of visual and textual page previews in judging the helpfulness of web pages".
- 897 sameAs 897.
- 897 abstract "We investigated the efficacy of visual and textual page web page previews in predicting the helpfulness of web pages related to a specific topic. We ran two studies in the usability lab and collected data through an online survey. Participants (total of 245) were asked to rate the expected helpfulness of a web page based on a preview (four different thumbnail variations, a textual web page summary, a thumbnail/title/URL combination, a title/URL combination). In the lab studies, the same participants also rated the helpfulness of the actual web pages themselves. In the online study, the web page ratings were collected from a separate group of participants. Our results show that thumbnails add information about the relevance of web pages that is not available in the textual summaries of web pages (title, snippet & URL). However, showing only thumbnails, with no textual information, results in poorer performance than showing only textual summaries. The prediction inaccuracy caused by textual vs. visual previews was different: textual previews tended to make users overestimate the helpfulness of web pages, whereas thumbnails made users underestimate the helpfulness of web pages in most cases. In our study, the best performance was obtained by combining sufficiently large thumbnails (at least 200x200 pixels) with page titles and URLs – and it was better to make users focus primarily on the thumbnail by placing the title and URL below the thumbnail. Our studies highlighted four key aspects that affect the performance of previews: the visual/textual mode of the previews, the zoom level and size of the thumbnail, as well as the positioning of key information elements.".
- 897 hasAuthorList authorList.
- 897 isPartOf proceedings.
- 897 keyword "Design".
- 897 keyword "evaluation of web interactions".
- 897 title "A comparison of visual and textual page previews in judging the helpfulness of web pages".
- authorList type List.
- authorList hasFirstItem item-1.
- authorList hasItem item-1.