Papers by Fabrício Benevenuto
Recently, Peer-to-Peer (P2P) file sharing systems are exper imenting a new form of malicious beha... more Recently, Peer-to-Peer (P2P) file sharing systems are exper imenting a new form of malicious behaviour: content pollution. The dis semination of pollu- ted content reduces content availability and consequentlythe confidence of user in such systems. This work points two strategies used to pollut e P2P systems and investigates the dissemination of pollution by the use o f these strategies in
Bookmarks Related papers MentionsView impact
Recently, le sharing Peer-to-Peer (P2P) systems are experimenting a new form of malicious behavio... more Recently, le sharing Peer-to-Peer (P2P) systems are experimenting a new form of malicious behaviour: content pollution. The dissemination of pollu- ted content reduces content availability and consequently the condence of user in such systems. This work points two strategies used to pollute P2P systems and investigates the dissemination of pollution by the use of these strategies in moderate networks (e.g.
Bookmarks Related papers MentionsView impact
Bookmarks Related papers MentionsView impact
Bookmarks Related papers MentionsView impact
Bookmarks Related papers MentionsView impact
ABSTRACT Information dissemination applications (e.g. weather, news, advertisements, traffic, and... more ABSTRACT Information dissemination applications (e.g. weather, news, advertisements, traffic, and so on) are among the most promising ones for vehicular networks. However, disseminating information to all vehicles in vehicular networks is not a trivial task because of their specific characteristics like high dynamic topology and different density values along time and space. The proposals found in literature focused on improved flooding schemes that, in realistic scenarios, may cause unnecessary overhead and redundant data. This work addresses the dissemination to all vehicles problem by assuming that some vehicles are more appropriate to be good disseminators than others. This hypothesis was validated through a large-scale urban mobility scenario and two heuristics were proposed to select the appropriate disseminators. Results showed that the proposed heuristics were able to achieve high coverage (more than 97% of vehicles) with low redundant data.
Bookmarks Related papers MentionsView impact
Bookmarks Related papers MentionsView impact
Isys Revista Brasileira De Sistemas De Informacao, Nov 16, 2014
Bookmarks Related papers MentionsView impact
Bookmarks Related papers MentionsView impact
Bookmarks Related papers MentionsView impact
Bookmarks Related papers MentionsView impact
Bookmarks Related papers MentionsView impact
Traditionally, users have discovered information on the Web by browsing or searching. Recently, w... more Traditionally, users have discovered information on the Web by browsing or searching. Recently, word-of-mouth has emerged as a popular way of discovering the Web, particularly on social networking sites like Facebook and Twitter. On these sites, users discover Web content by following URLs posted by their friends. Such word-of-mouth based content discovery has become a major driver of traffic to
Bookmarks Related papers MentionsView impact
Bookmarks Related papers MentionsView impact
Bookmarks Related papers MentionsView impact
In this paper, we design and evaluate a novel who-is-who service for inferring attributes that ch... more In this paper, we design and evaluate a novel who-is-who service for inferring attributes that characterize individual Twitter users. Our methodology exploits the Lists feature, which allows a user to group other users who tend to tweet on a topic that is of interest to her, and follow their collective tweets. Our key insight is that the List meta-data (names
Bookmarks Related papers MentionsView impact
Finding topic experts on microblogging sites with millions of users, such as Twitter, is a hard a... more Finding topic experts on microblogging sites with millions of users, such as Twitter, is a hard and challenging problem. In this paper, we propose and investigate a new methodology for discovering topic experts in the popular Twitter social network. Our methodology relies on the wisdom of the Twitter crowds -- it leverages Twitter Lists, which are often carefully curated by
Bookmarks Related papers MentionsView impact
Networking, 2006
This work presents an extensive evaluation of the request filtering in hierarchy of proxy caches.... more This work presents an extensive evaluation of the request filtering in hierarchy of proxy caches. Using the recently proposed ADF (Aggregation, Disaggregation and Filtering) model as well as entropy as metric for Web traffic characterization, we evaluate how locality of reference changes as the streams of requests pass through a hierarchy of caches. Moreover, we propose the use of average
Bookmarks Related papers MentionsView impact
Bookmarks Related papers MentionsView impact
Bookmarks Related papers MentionsView impact
Uploads
Papers by Fabrício Benevenuto