Bio-inspired enhancement of reputation systems for intelligent environments
| العنوان: | Bio-inspired enhancement of reputation systems for intelligent environments |
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| المؤلفون: | Juan Carlos Vallejo, Octavio Nieto-Taladriz, Javier Blesa, Juan-Mariano de Goyeneche, Elena Romero, José M. Moya, Pedro Malagón, David Fraga, Alvaro Araujo, Zorana Bankovic, Daniel Villanueva |
| المصدر: | Information Sciences Information Sciences, ISSN 0020-0255, 2013-02, Vol. 222 Archivo Digital UPM Universidad Politécnica de Madrid |
| سنة النشر: | 2013 |
| مصطلحات موضوعية: | Informática, Context model, Information Systems and Management, Ambient intelligence, Matemáticas, Computer science, media_common.quotation_subject, Robótica e Informática Industrial, 020206 networking & telecommunications, 02 engineering and technology, Computer security, computer.software_genre, Computer Science Applications, Theoretical Computer Science, Artificial Intelligence, Control and Systems Engineering, Reputation system, Scalability, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, computer, Software, Reputation, media_common |
| الوصف: | Providing security to the emerging field of ambient intelligence will be difficult if we rely only on existing techniques, given their dynamic and heterogeneous nature. Moreover, security demands of these systems are expected to grow, as many applications will require accurate context modeling. In this work we propose an enhancement to the reputation systems traditionally deployed for securing these systems. Different anomaly detectors are combined using the immunological paradigm to optimize reputation system performance in response to evolving security requirements. As an example, the experiments show how a combination of detectors based on unsupervised techniques (self-organizing maps and genetic algorithms) can help to significantly reduce the global response time of the reputation system. The proposed solution offers many benefits: scalability, fast response to adversarial activities, ability to detect unknown attacks, high adaptability, and high ability in detecting and confining attacks. For these reasons, we believe that our solution is capable of coping with the dynamism of ambient intelligence systems and the growing requirements of security demands. |
| وصف الملف: | application/pdf |
| تدمد: | 0020-0255 |
| DOI: | 10.1016/j.ins.2011.07.032 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::90c855fc20f00c10402b2454d9a6e37b |
| Rights: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....90c855fc20f00c10402b2454d9a6e37b |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 00200255 |
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| DOI: | 10.1016/j.ins.2011.07.032 |