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Towards a Security and Privacy Protection Model for Semantic Query Engines

Abstract

The semantic web aims to describe information in terms of welldefined vocabularies and comprehends both data and knowledge to cope with meaning of data. Advanced search engines are used to retrieve precise information out of these knowledge resources. The main challenge is not only retrieving data but also how to keep data safe and protected against any form of attacks. In this paper, we propose a security aware based model for semantic search engines. Our work aims to combine advances in information technology, such as cloud technology, while addressing security issues which threaten the integrity of information. In particular security gaps and countermeasures of the semantic web are identified. ISO/IEC security requirements for the protection of personally identifiable information (PII) are presented to cover security vulnerabilities of the proposed model. Finally, the feasibility of our proposed model is checked against the N2Sky use case, a multi-cloud knowledge information management system for the computational intelligence community.

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Authors
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Citation
Category
Paper in Conference Proceedings or in Workshop Proceedings (Paper)
Event Title
19th International Conference on Information Integration and Web-based Applications & Services 2017
Divisions
Multimedia Information Systems
Workflow Systems and Technology
Subjects
Computersicherheit
Webentwicklung, Webanwendungen
Event Location
Salzburg, Austria
Event Type
Conference
Event Dates
4-6 December 2017
Series Name
The 19th International Conference on Information Integration and Web-based Applications & Services Proceedings
ISSN/ISBN
978-1-4503-5299-4/17/12
Date
December 2017
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