The main technological challenge consists of detecting potential threads on the network, in other words, finding the origin of this influencer, identifying its different ways of acting.

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There are another challenges like quantifying its capacity and influence radio with the intention of being able to adopt specific measures that, without attempting against the freedom of expression, counteract, invest or minimize its influence capacity.

Automated search of crime through the content analysis in online social environments still involves technical difficulties:
• Detecting false profiles
• Finding an optimal rime dictionary
• Automating the information extraction from different systems
• Simulating future scenarios of crime

As it has been shown, some government cyber-security programs in different countries are already operating with reduced automation. The main problem of application software for the cyber-detection of crimes is the required maintenance, since it is very difficult to ensure effective probability of success in generating new dictionaries criminal terms.
The results should never be understood as significant evidences of a crime; cyber-detection software should be better understood as an example of decision support system.
From BISITE, we propose and storage and analysis approach with a society of distributed agents.

 

 

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ASSOCIATED PROJECTS

 NATIONALS

PIAR: Intelligent Platform for Detecting Network Threats

Reference: TSI-100201-2013-20

Funding body: Ministry of Industry, Energy and Tourism (Strategic Action Digital Economy and Society 2013)

Collaborators: Centro Regional de Servicios Avanzados (CSA) and Assesors Nous Professionals S.XXI, S.L.

Principal Research: Juan Manuel Corchado Rodríguez

Start date: 01-06-2013    End date: 01-12-2015

 

 

 

 

 

 

 

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 Unviersidad 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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