Moving e-commerce with PIVOTS: Private information viewing offering total safety

Yannopoulos, A; Stavroulas, Y; Varvarigou, TA

dc.contributor.author	Yannopoulos, A	en
dc.contributor.author	Stavroulas, Y	en
dc.contributor.author	Varvarigou, TA	en
dc.date.accessioned	2014-03-01T01:21:06Z
dc.date.available	2014-03-01T01:21:06Z
dc.date.issued	2004	en
dc.identifier.issn	1041-4347	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/16062
dc.subject	Access control	en
dc.subject	e-commerce	en
dc.subject	Internet search	en
dc.subject	Relevance feedback	en
dc.subject	Security	en
dc.subject.classification	Computer Science, Artificial Intelligence	en
dc.subject.classification	Computer Science, Information Systems	en
dc.subject.classification	Engineering, Electrical & Electronic	en
dc.subject.other	Algorithms	en
dc.subject.other	Data acquisition	en
dc.subject.other	Information retrieval	en
dc.subject.other	Internet	en
dc.subject.other	Mathematical models	en
dc.subject.other	Neural networks	en
dc.subject.other	Parameter estimation	en
dc.subject.other	Security of data	en
dc.subject.other	Statistical methods	en
dc.subject.other	User interfaces	en
dc.subject.other	Access control	en
dc.subject.other	Internet search	en
dc.subject.other	Relevance feedback	en
dc.subject.other	Security	en
dc.subject.other	Electronic commerce	en
dc.title	Moving e-commerce with PIVOTS: Private information viewing offering total safety	en
heal.type	journalArticle	en
heal.identifier.primary	10.1109/TKDE.2004.10	en
heal.identifier.secondary	http://dx.doi.org/10.1109/TKDE.2004.10	en
heal.language	English	en
heal.publicationDate	2004	en
heal.abstract	We present a technology which enables wide-scale deployment of a unique and powerful data access and search tool. This tool makes it possible for content owners on the Internet to offer end-users the ability to search, assess, or otherwise examine their nondisclosable private data. The end-users may use arbitrary, distrusted assessment algorithms and receive the results which are produced. These results take the form of a meaningful digest, e. g., a useful statistic, a relevance assessment, etc. There exists some controllable danger of information theft which, however, is quantitatively dependent on system parameters and can be tuned accordingly. We consider a broad class of practical applications where brute force attacks exist which are easier and cheaper to implement than an attack through appropriately configured PIVOTS, making our system, effectively, very trustworthy. The actual creation of the search algorithm may be performed by the end-users themselves in specialized applications, or by third-party search-engine operators who offer their services to end-users. Sophisticated data mining technologies which are very often not directly available to content owners can thus be exploited to mine even private data collections. Users discovering interesting items in private data sets may purchase this specific data, but other desirable exploitation possibilities are also analyzed. A novel business model is presented and its potential for great impact on e-commerce is explored. Three diverse and important real-world applications are presented in conclusion.	en
heal.publisher	IEEE COMPUTER SOC	en
heal.journalName	IEEE Transactions on Knowledge and Data Engineering	en
dc.identifier.doi	10.1109/TKDE.2004.10	en
dc.identifier.isi	ISI:000220977900001	en
dc.identifier.volume	16	en
dc.identifier.issue	6	en
dc.identifier.spage	641	en
dc.identifier.epage	652	en