Confidentiality, integrity and availability are the main objectives of any information security model.


With specific regard to availability, the aim is to guarantee that the information, services, and available resources are accessible to authorized users. One of the priorities of web services is to guarantee the availability of services and resources. However, all of the specifications that have been proposed for providing security within web services (WS-Security, WS-SecurityPolicy, WS-Trust, WS-SecureConversation, etc.) only consider the integrity and confidentiality of messages without much consideration for availability.

One of the increasingly common threats within web services environments, and one that jeopardizes the availability factor, is denial of service (DoS). This type of attack exploits vulnerable points within the standard components supporting the technology. There are several initiatives within this field. However, the main common disadvantage that each of these approaches has is their low capacity to adapt themselves to changes in patterns. This reduces the effectiveness of these methods when slight variations in the behaviours of known attacks occur or when new attacks appear.

This works presents a novel soft computing-based approach to cope with DoS attacks, but unlike existing solutions, our proposal takes into account the different soft computing mechanisms that can lead to a DoS attack. Our approach is based on a real time classifier agent that incorporates a mixture of experts to choose a specific classification technique depending on the feature of the attack and the time available to solve the classification. With this scheme it is possible to divide the problem into subproblems, solving the classification of the web service requests in a more simple and effective way, and always within a time bound interval.



FUSION@ : Flexible User and ServIces Oriented multi-ageNt Architecture

Reference: PET2008_0036

Funding body: Ministry of Education and Science(Fundamental research projects for the Transfer of Knowledge to Enterprises (TRACE))

Collaborators: Nebusens

Principal Research: Juan Manuel Corchado

Start date: 01-03-2009    End date: 01-02-2011


Reference: TSI-020100-2008-31

Funding body: Ministerio de Industria, Turismo y Comercio. Avanza I+D. Acción Estratégica de Telecomunicaciones y Sociedad de la Información.

Collaborators: Universidad de Salamanca, Flag Solutions S.L.

Principal Research: Javier Bajo Pérez

Start date: 10/07/2008           End date: 25/12/2009






Posted by Juan M. Corchado

Juan Manuel Corchado (15 de Mayo de 1971, Salamanca, España) Catedrático en la Universidad de Salamanca. Ha sido Vicerrector de Investigación desde el 2013 hasta el 2017 y Director del Parque Científico de la Universidad de Salamanca. Elegido dos veces como Decano de la Facultad de Ciencias, es Doctor en Ciencias de la Computación por la Universidad de Salamanca y, además, es Doctor en Inteligencia Artificial por la University of the West of Scotland. Dirige el Grupo de Investigación Reconocido BISITE (Bioinformática, Sistemas Inteligentes y Tecnología Educativa), creado en el año 2000. Director del IOT Digital Innovation Hub y presidente del AIR Institute, J. M. Corchado también es Profesor Visitante en el Instituto Tecnológico de Osaka desde enero de 2015, Profesor visitante en la Universiti Malaysia Kelantan y Miembro del Advisory Group on Online Terrorist Propaganda of the European Counter Terrorism Centre (EUROPOL). J. M. Corchado ha sido presidente de la asociación IEEE Systems, Man and Cybernetics, y coordinador académico del Instituto Universitario de Investigación en Arte y Tecnología de la Animación de la Universidad de Salamanca e investigador en las Universidades de Paisley (UK), Vigo (Spain) y en el Plymouth Marine Laboratory (UK). En la actualidad compagina toda su actividad con la dirección de los programas de Máster en Seguridad, Animación Digital, Telefonía Movil, Dirección de Sistemas de Información, Internet de las Cosas, Social Media, Diseño e Impresión 3D, Blockchain, Z System, Industria 4.0, Gestión de Proyectos Ágiles y Smart Cities & Intelligent Buildings​, en la Universidad de Salamanca y su trabajo como editor jefe de las revistas ADCAIJ (Advances in Distributed Computing and Artificial Intelligence Journal), OJCST (Oriental Journal of Computer Science and Technology) o Electronics MDPI (Computer Science & Engineering section). J. M. Corchado desarrolla principalmente trabajos en proyectos relacionados con Inteligencia Artificial, Machine Learning, Blockchain, IoT, Fog Computing, Edge Computing, Smart Cities, Smart Grids y Análisis de sentimiento.

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