1,095 Hits in 5.4 sec

Analysis of the detection of an attack based on SQL injection using an impulse artificial neural network
Анализ обнаружения атаки на базе SQL-инъекции с помощью импульсной искусственной нейронной сети

Anastasiya Arkhipova, Novosibirsk State Technical University, Russian Federation, Pavel Polyakov, Novosibirsk State Technical University, Russian Federation
2021 Digital technology security  
This paper presents an approach to the formation of a fuzzy neural network used for detecting SQL injection attacks.  ...  The methodology used in this paper is an impulse artificial neural network (SANN), which uses an evolving neural network system (eCOS) and a multi-layer approach of an impulse artificial neural network  ...  Schematic representation of an attack based on SQL injection 1 . 1 Все атаки SQL-инъекций модели были нормализованы к интервалу [-1, 1].  ... 
doi:10.17212/2782-2230-2021-3-57-67 fatcat:gtuyabqwfvc2pof47crq6tzg5e

A System to Detect and Block SQL Injection with the help of Multi Agent System using Artificial Neural Network

Rohit Garde, D R Anekar, Niraj Kulkarni, Mayur Ghadge
2013 International Journal of Computer Applications  
This paper describes a Multi agent system which uses Artificial Neural Network algorithm, which helps to detect malicious SQL queries.  ...  The SQL injection attacks are one of the biggest security threats in databases.  ...  Our Head of Department has also been very helpful and we appreciate the support he provided us.  ... 
doi:10.5120/12411-9073 fatcat:xyubwp4hqveltfvgjobhvtbzba

Classification Agent-Based Techniques for Detecting Intrusions in Databases [chapter]

Cristian Pinzón, Yanira De Paz, Rosa Cano
2008 Lecture Notes in Computer Science  
This paper presents an agent specially designed for the prevention and detection of SQL injection at the database layer of an application.  ...  The agent incorporates a Case-based reasoning mechanism whose main characteristic involves a mixture of neural networks that carry out the task of filtering attacks.  ...  This development has been partially supported by the Spanish Ministry of Science project TIN2006-14630-C03-03.  ... 
doi:10.1007/978-3-540-87656-4_7 fatcat:rdqclh7qhnhipiyjhksht3qtrq

Fuzzy neural networks to create an expert system for detecting attacks by SQL Injection

Lucas Batista, Gabriel Silva, Vanessa Araújo, Vinícius Araújo, Thiago Rezende, Augusto Guimarães, Paulo Souza
2018 The International Journal of Forensic Computer Science  
The tests were performed with real bases of SQL Injection attacks on government computers, using fuzzy neural networks.  ...  This article aims to propose a computational system based on intelligent hybrid models, which through fuzzy rules allows the construction of expert systems in cybernetic data attacks, focusing on the SQL  ...  Acknowledgments The acknowledgments of this work are destined to the University Center UNA of Betim and the Federal Center of Technological Education of Minas Gerais -CEFET-MG.  ... 
doi:10.5769/j201801001 fatcat:2b7r75jpwnakrfxi3oeem5zhte

Network Intrusion Detection Approach Based on Convolutional Neural Network

2021 European Journal of Science and Technology  
In this study, an intrusion detection implementation based on feature selection was performed by using a convolutional neural network in order to prevent cyber-attacks.  ...  Attributes of the dataset were trained on the preprocessing layer, classification layer, and two-layer convolutional neural network.  ...  In another implementation performed by using artificial neural networks, an anomaly-based intrusion detection system was designed on the CSE-CIC-IDS2018 dataset.  ... 
doi:10.31590/ejosat.954966 fatcat:4mz2zwbegra73pvx2tks5c7orm

SQL Injection Attack Detection and Prevention Techniques to Secure Web-Site

Mr. Vishal Andodariya
2018 International Journal of Trend in Scientific Research and Development  
According to Open Web Application Security Projects (OWASP), SQL Injection is one of top 10 web based attacks [10].  ...  It also describes the survey of different SQL Injection attack detection prevention. At the end of this paper, the comparison of different SQL Injection Attack detection and prevention is shown.  ...  A System to Detect and Block SQL Injection with the help of Multi-Agent System using Artificial Neural Network [2] Whole system is based on the last paper Multi-Agent system for Detecting and Blocking  ... 
doi:10.31142/ijtsrd13034 fatcat:tym2sbyv65b6nf2j5puye63mo4

Artificial Neural Network Based Web Application Firewall For Sql Injection

Asaad Moosa
2010 Zenodo  
According to international statistics, SQL Injection is one of the most popular vulnerabilities of web applications.  ...  In this research, a security solution is proposed using Artificial Neural Network to protect web applications against this type of attacks.  ...  ACKNOWLEDGMENT The author thanks the Centre for Advanced Computing and Emerging Technologies (ACET) in the School of Systems Engineering in the University of Reading, for their help and support.  ... 
doi:10.5281/zenodo.1329474 fatcat:coqohu5i5vcrxdwzqs56exu3wu

Artificial Intelligence Techniques For Big Data Analysis

Aditya Khatri
2017 Zenodo  
As a computer science researcher, I participated in one of the many international projects that the research group has active, especially in big data analysis using Artificial Intelligence (AI) techniques  ...  AI is one of BISITE's main lines of research, along with bioinformatics and robotics.  ...  JF De Paz, DI Tapia, RS Alonso, CI Pinzón, J Bajo, JM Corchado, Mitigation of the ground reflection effect in real-time locating systems based on wireless sensor networks by using artificial neural Networks  ... 
doi:10.5281/zenodo.1133304 fatcat:7vkd3qjkjvcuvaeknjelyerruu

An Attack Detection Mechanism Based on a Distributed Hierarchical Multi-agent Architecture for Protecting Databases [chapter]

Cristian Pinzón, Yanira de Paz, Rosa Cano, Manuel P. Rubio
2009 Advances in Intelligent and Soft Computing  
The strategy for the classification and detection of SQL injection attacks uses a combination based on detection by anomalies and misuses.  ...  The detection by anomaly uses a case-based reasoning mechanism incorporating a mixture of neural networks. The approach has been tested and the results are presented in this paper.  ...  This development has been partially supported by the Spanish Ministry of Science project TIN2006-14630-C03-03.  ... 
doi:10.1007/978-3-642-00487-2_26 dblp:conf/paams/PinzonPCR09 fatcat:sqngbqb3dnej3jrreda6g6pe24

Automatic Uavs Path Planning

Duri Kim
2017 Zenodo  
The work has been focused on the development of software that implements algorithms for the control of UAVs (Unmanned Aerial Vehicles) autonomously.  ...  During these months, I have had the opportunity to work with the BISITE Research Group, attend different congresses held in Spain and learn new computer techniques related to artificial intelligence.  ...  JF De Paz, DI Tapia, RS Alonso, CI Pinzón, J Bajo, JM Corchado, Mitigation of the ground reflection effect in real-time locating systems based on wireless sensor networks by using artificial neural Networks  ... 
doi:10.5281/zenodo.1133309 fatcat:6fp3636rtraznelpd67e6usgdi

A Comprehensive Analysis and Solution of Cyber Attacks using Machine Learning Techniques

Intrusion Detection Systems is a most suitable solution for cyber attacks. Machine learning based Intrusion Detection Systems have high accuracy, in rapidly changing environment.  ...  Cyber security is a major problem of modern society so that Vulnerabilities of computer Network is become easy with the help of technologies and human skills.  ...  SQL injection:-This type of attacks are Union based sql injection, Error based sql injection and blind sql injection , and its prevention methods are attack surface has to be reduced , use firewall , always  ... 
doi:10.35940/ijitee.l1019.10812s319 fatcat:4p44lercizesbfdd7uxnogv4xy

Enhanced Query based Layered Approach Towards Detection and Prevention of Web Attacks

Gaurav Kumar Tak, Gaurav Ojha
2012 Procedia Technology - Elsevier  
The proposed methodology utilizes a multi-tier mechanism to detect SQL attacks while maintaining the speed and user experience of the web application.  ...  The connection between the web server and the database is the one that needs to be well secured. This is where the role of secure authentication techniques comes into picture.  ...  Detection approaches based on artificial neural network primarily rely on some features of specific applications and protocols employed by them.  ... 
doi:10.1016/j.protcy.2012.05.080 fatcat:4wmozqkggfh3vchspjqpinerpi

SQL injection detection for web applications based on Elastic-Pooling CNN

Xin Xie, Chunhui Ren, Yusheng Fu, Jie Xu, Jinhong Guo
2019 IEEE Access  
This paper presents a method of SQL injection detection based on Elastic-Pooling CNN (EP-CNN) and compares it with traditional detection methods.  ...  Based on the irregular matching characteristics, it can identify new attacks and is harder to bypass. INDEX TERMS Deep learning, neural network, CNN, network security, SQL injection.  ...  This paper presents a method of SQL injection detection based on CNN and massive web logs.  ... 
doi:10.1109/access.2019.2947527 fatcat:fitsodxbcrgorcr53pe6vphyjm

A Distributed Hierarchical Multi-agent Architecture for Detecting Injections in SQL Queries [chapter]

Cristian Pinzón, Juan F. De Paz, Álvaro Herrero, Emilio Corchado, Javier Bajo
2010 Advances in Intelligent and Soft Computing  
This work proposes a distributed architecture based on multi-agent systems that is able to detect SQL injection attacks.  ...  The multi-agent architecture incorporates cased-based reasoning, neural networks and support vector machines in order to classify and visualize the queries, allowing the detection and identification of  ...  ITCL) and the Agencia de Desarrollo Empresarial (ADE), projects of the Spanish Ministry of Science and Innovation TIN 2009-13839-C03-03, CIT-020000-2009-12 (funded by the European Regional Development  ... 
doi:10.1007/978-3-642-16626-6_6 dblp:conf/cisis-spain/PinzonPHCB10 fatcat:aazvfhzhgbhz3pccqoiifce2vq

AIIDA-SQL: An Adaptive Intelligent Intrusion Detector Agent for detecting SQL Injection attacks

Cristian Pinzon, Juan F. De Paz, Javier Bajo, Alvaro Herrero, Emilio Corchado
2010 2010 10th International Conference on Hybrid Intelligent Systems  
Concretely, an innovative classification model based on a mixture of an Artificial Neuronal Network together with a Support Vector Machine is applied in the reuse stage of the CBR cycle.  ...  SQL Injection attacks on web applications have become one of the most important information security concerns over the past few years.  ...  This is very effective for blocking SQL injection attacks as the ID mechanism uses a strategy based on anomaly detection [11] .  ... 
doi:10.1109/his.2010.5600026 dblp:conf/his/PinzonPBHC10 fatcat:f75wqezdq5ehhpvcbnjhrs2lvq
« Previous Showing results 1 — 15 out of 1,095 results