Currently, one of the most dangerous and common threats to databases and Web applications is the SQL injection attack.

juan-manuel-corchado-idmas-sql-01

It typically involves malicious modifications of the user SQL input either by adding additional clauses or by changing the structure of an existing clause. SQL injection enables attackers to access, modify, or delete critical information in a database without proper authorization. In spite of being a well-known type of attack, the SQL injection remains at the top of the published list of security threats. The solutions proposed so far seem insufficient to prevent and block this type of attack because these solutions lack the learning and adaptation capabilities for dealing with 0-day (previously unseen) attacks as well as new or future variations of attacks. Furthermore, the vast majority of these solutions are based on centralized mechanisms, with little capacity to work in distributed and dynamic environments.

The developed system is based on a hierarchical and distributed strategy where the functionalities are structured on layers. The agents in each one of the layers are specialized in specific tasks, such as data gathering, data classification, and visualization. This works presents two key agents under a hybrid architecture: a classifier agent that incorporates a Case-Based Reasoning engine employing advanced algorithms in the reasoning cycle stages; and a visualizer agent that integrates several techniques to facilitate the visual analysis of suspicious queries. The former incorporates a new classification model based on a mixture of a neural network and a Support Vector Machine in order to classify SQL queries in a reliable way. The latter combines clustering and neural projection techniques to support the visual analysis and identification of target attacks.

ASSOCIATED PROJECTS

NATIONALS

SQLCBR

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

PUBLICATIONS

idMAS-SQL: Intrusion Detection Based on MAS to Detect and Block SQL injection through data mining. 

Authors: Cristian I. Pinzón, Juan F. De Paz, Álvaro Herrero, Emilio Corchado, Javier Bajo and Juan M. Corchado

Journal: Information Sciences. Volume 231, pp. 15-31. Elsevier BV.

Publication date: 2013

ISSN: 0020-0255 (Print)

DOI: 10.1016/j.ins.2011.06.020

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Posted by Juan M. Corchado

Juan Manuel Corchado (15 May 1971, Salamanca, Spain) is Professor at the University of Salamanca. He has been Vice-Rector for Research from 2013 to 2017 and Director of the Science Park of the University of Salamanca. Elected as Dean of the Faculty of Science twice, he holds a PhD in Computer Science from the University of Salamanca and a PhD in Artificial Intelligence from the University of the West of Scotland. He leads the renowned BISITE (Bioinformatics, Intelligent Systems and Educational Technology) Research Group, created in 2000. Director of the IoT Digital Innovation Hub and President of the AIR Institute, J. M. Corchado is also Visiting Professor at the Osaka Institute of Technology since January 2015, Visiting Professor at the Universiti Malaysia Kelantan and Member of the Advisory Group on Online Terrorist Propaganda of the European Counter Terrorism Centre (EUROPOL). J. M. Corchado has been president of the IEEE Systems, Man and Cybernetics Society, and academic coordinator of the University Institute for Research in Art and Animation Technology at the University of Salamanca, as well as researcher at the Universities of Paisley (UK), Vigo (Spain) and the Plymouth Marine Laboratory (UK). He currently combines all his activity with the direction of Master programmes in Security, Digital Animation, Mobile Telephony, Information Systems Management, Internet of Things, Social Media, 3D Design and Printing, Blockchain, Z System, Industry 4.0, Agile Project Management, and Smart Cities & Intelligent Buildings, at the University of Salamanca and his work as editor-in-chief of the journals ADCAIJ (Advances in Distributed Computing and Artificial Intelligence Journal), OJCST (Oriental Journal of Computer Science and Technology) or Electronics MDPI (Computer Science & Engineering section). J. M. Corchado mainly works on projects related to Artificial Intelligence, Machine Learning, Blockchain, IoT, Fog Computing, Edge Computing, Smart Cities, Smart Grids and Sentiment Analysis. He has recently been included in the board of trustees of the AstraZeneca Foundation, along with other health professionals and researchers recognised for bringing scientific knowledge closer to society.

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