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Displaying 1-5 out of 5 total
Modeling Unintended Personal-Information Leakage from Multiple Online Social Networks
Found in: IEEE Internet Computing
By Danesh Irani, Steve Webb, Calton Pu, Kang Li
Issue Date:May 2011
pp. 13-19
<p>Most people have multiple accounts on different social networks. Because these networks offer various levels of privacy protection, the weakest privacy policies in the social network ecosystem determine how much personal information is disclosed o...
Large Online Social Footprints--An Emerging Threat
Found in: Computational Science and Engineering, IEEE International Conference on
By Danesh Irani, Steve Webb, Kang Li, Calton Pu
Issue Date:August 2009
pp. 271-276
We study large online social footprints by collecting data on 13,990 active users. After parsing data from 10 of the 15 most popular social networking sites, we find that a user with one social network reveals an average of 4.3 personal information fields....
An Observation-Based Approach to Performance Characterization of Distributed n-Tier Applications
Found in: IEEE Workload Characterization Symposium
By Calton Pu, Akhil Sahai, Jason Parekh, Gueyoung Jung, Ji Bae, You-Kyung Cha, Timothy Garcia, Danesh Irani, Jae Lee, Qifeng Lin
Issue Date:September 2007
pp. 161-170
The characterization of distributed n-tier application performance is an important and challenging problem due to their complex structure and the significant variations in their workload. Theoretical models have difficulties with such wide range of environ...
Elusive vandalism detection in wikipedia: a text stability-based approach
Found in: Proceedings of the 19th ACM international conference on Information and knowledge management (CIKM '10)
By Calton Pu, Danesh Irani, Lakshmish Ramaswamy, Qinyi Wu
Issue Date:October 2010
pp. 1797-1800
The open collaborative nature of wikis encourages participation of all users, but at the same time exposes their content to vandalism. The current vandalism-detection techniques, while effective against relatively obvious vandalism edits, prove to be inade...
Cosmos: a Wiki data management system
Found in: Proceedings of the 5th International Symposium on Wikis and Open Collaboration (WikiSym '09)
By Calton Pu, Danesh Irani, Qinyi Wu
Issue Date:October 2009
pp. 1-2
Wiki applications are becoming increasingly important for knowledge sharing between large numbers of users. To prevent against vandalism and recover from damaging edits, wiki applications need to maintain revision histories of all documents. Due to the lar...