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Your search keyword '"Vallejo, Juan Carlos"' showing total 5 results
Start Over Author "Vallejo, Juan Carlos" Topic reputation system
5 results on '"Vallejo, Juan Carlos"'

2. A Scalable Security Framework for Reliable AmI Applications Based on Untrusted Sensors

Author

Moya, José M., Vallejo, Juan Carlos, Malagón, Pedro, Araujo, Álvaro, de Goyeneche, Juan-Mariano, Nieto-Taladriz, Octavio, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, van den Berg, Hans, editor, Heijenk, Geert, editor, Osipov, Evgeny, editor, and Staehle, Dirk, editor

Published
2009
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3. Improving Security for SCADA Sensor Networks with Reputation Systems and Self-Organizing Maps.

Author

Moya, José M., Araujo, Álvaro, Banković, Zorana, de Goyeneche, Juan-Mariano, Vallejo, Juan Carlos, Malagòn, Pedro, Villanueva, Daniel, Fraga, David, Romero, Elena, and Blesa, Javier

Subjects
CYBERTERRORISM, MILITARY science, ALGORITHMS, SIMULATION methods & models, TOLERATION, SENSOR networks, DATA protection, DETECTORS, SELF-organizing systems
Abstract

The reliable operation of modern infrastructures depends on computerized systems and Supervisory Control and Data Acquisition (SCADA) systems, which are also based on the data obtained from sensor networks. The inherent limitations of the sensor devices make them extremely vulnerable to cyberwarfare/cyberterrorism attacks. In this paper, we propose a reputation system enhanced with distributed agents, based on unsupervised learning algorithms (self-organizing maps), in order to achieve fault tolerance and enhanced resistance to previously unknown attacks. This approach has been extensively simulated and compared with previous proposals. [ABSTRACT FROM AUTHOR]

Published
2009
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4. Using Reputation Systems and Non-Deterministic Routing to Secure Wireless Sensor Networks.

Author

Moya, José M., Vallejo, Juan Carlos, Fraga, David, Araujo, Álvaro, Villanueva, Daniel, and de Goyeneche, Juan-Mariano

Subjects
*SENSOR networks, *WIRELESS sensor networks, *COMPUTER security, *SECURITY systems, *DETECTORS, *ROUTING (Computer network management), *COMPUTER network management, *ELECTRONIC feedback, *COMPUTER simulation
Abstract

Security in wireless sensor networks is difficult to achieve because of the resource limitations of the sensor nodes. We propose a trust-based decision framework for wireless sensor networks coupled with a non-deterministic routing protocol. Both provide a mechanism to effectively detect and confine common attacks, and, unlike previous approaches, allow bad reputation feedback to the network. This approach has been extensively simulated, obtaining good results, even for unrealistically complex attack scenarios. [ABSTRACT FROM AUTHOR]

Published
2009
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5. Bio-inspired enhancement of reputation systems for intelligent environments

Author

Banković, Zorana, Fraga, David, Moya, José Manuel, Vallejo, Juan Carlos, Malagón, Pedro, Araujo, Álvaro, de Goyeneche, Juan-Mariano, Romero, Elena, Blesa, Javier, Villanueva, Daniel, and Nieto-Taladriz, Octavio

Subjects
*SYSTEMS theory, *COMPUTER security, *MATHEMATICAL models, *MATHEMATICAL optimization, *PERFORMANCE evaluation, *MATHEMATICAL combinations, *AMBIENT intelligence
Abstract

Abstract: 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. [Copyright &y& Elsevier]

Published
2013
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