Abstract
This paper presents a novel context-based approach to filter out unfair recommendations for trust model in ubiquitous environments. Context is used in our approach to analyze the user’s activity, state and intention. Incremental learning based neural network is used to dispose the context in order to find doubtful recommendations. This approach has distinct advantages when dealing with randomly given irresponsible recommendations, individual unfair recommendations as well as unfair recommendations flooding.
Original language | English |
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Title of host publication | Information Systems Security - 2nd International Conference, ICISS 2006, Proceedings |
Editors | Aditya Bagchi, Vijayalakshmi Atluri |
Publisher | Springer Verlag |
Pages | 357-360 |
Number of pages | 4 |
ISBN (Print) | 9783540689621 |
DOIs | |
Publication status | Published - 2006 |
Event | 2nd International Conference on Information Systems Security, ICISS 2006 - Kolkata, India Duration: 2006 Dec 19 → 2006 Dec 21 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 4332 LNCS |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Other
Other | 2nd International Conference on Information Systems Security, ICISS 2006 |
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Country/Territory | India |
City | Kolkata |
Period | 06/12/19 → 06/12/21 |
Bibliographical note
Publisher Copyright:© Springer-Verlag Berlin Heidelberg 2006.
ASJC Scopus subject areas
- Theoretical Computer Science
- General Computer Science