Geospatial Database Security

2007 ◽  
pp. 247-266 ◽  
Author(s):  
Soon Ae Chun ◽  
Vijayalakshmi Atluri
2003 ◽  
Author(s):  
Jeffrey Worst ◽  
R. Jason Weiss
Keyword(s):  

Author(s):  
Lin Dai ◽  
Shiyong Jin ◽  
Longjun Song ◽  
Shouchen Sun

1999 ◽  
Vol 91 (1-3) ◽  
pp. 119-126 ◽  
Author(s):  
Peter Horak ◽  
Ljiljana Branković ◽  
Mirka Miller

2021 ◽  
Vol 1 ◽  
pp. 84-90
Author(s):  
Rustam Kh. Khamdamov ◽  
◽  
Komil F. Kerimov ◽  

Web applications are increasingly being used in activities such as reading news, paying bills, and shopping online. As these services grow, you can see an increase in the number and extent of attacks on them, such as: theft of personal information, bank data and other cases of cybercrime. All of the above is a consequence of the openness of information in the database. Web application security is highly dependent on database security. Client request data is usually retrieved by a set of requests that request the application user. If the data entered by the user is not scanned very carefully, you can collect a whole host of types of attacks that use web applications to create security threats to the database. Unfortunately, due to time constraints, web application programmers usually focus on the functionality of web applications, but only few worry about security. This article provides methods for detecting anomalies using a database firewall. The methods of penetration and types of hacks are investigated. A database firewall is proposed that can block known and unknown attacks on Web applications. This software can work in various ways depending on the configuration. There are almost no false positives, and the overhead of performance is relatively small. The developed database firewall is designed to protect against attacks on web application databases. It works as a proxy, which means that requests for SQL expressions received from the client will first be sent to the developed firewall, rather than to the database server itself. The firewall analyzes the request: requests that are considered strange are blocked by the firewall and an empty result is returned to the client.


Author(s):  
А.В. Андрианова ◽  
О.Э. Якубайлик

Рассматривается состояние эндемичных байкальских амфипод в р. Енисей, приводятся результаты экспедиционных исследований. Отмечается факт многоразового увеличения количества амфипод в Енисее после зарегулирования плотиной Красноярской ГЭС. Данные гидробиологического мониторинга оформлены в виде геопространственной базы данных на геопортале, который предоставляет возможности визуализации результатов исследований в виде интерактивных тематических карт, прямого доступа к данным через картографические веб-сервисы из современных ГИС. The purpose. The purpose of the work is the theoretical and practical studies of the possibilities for using the geoinformation web-system modern technologies for improving the efficiency of hydrobiological monitoring, and design of software tools of data presentation and analysis for field research. Methods. The technologies for development of distributed information systems in multi-tier architecture, along with software interfaces and protocols, information exchange standards are considered. The possibilities for using of geoinformation and cartographic modelling methods for searching the relationship between the spatial distributions of Baikal amphipods in the Yenisei river with different environmental factors are investigated. Results. The technologies and related software are developed for the considered problem. The geospatial database is generated and filled with the results of own longterm hydrobiological field studies, it has become an integral part of the geoportal of ICM SB RAS, which was formed by the separate thematic section. The focus is on the results of extensive field studies of the Yenisei implemented in 2015 and 2016. As to database content, the information about the quantitative distribution of zoobenthos (animals inhabiting the ponds bottom), in particular endemic Baikal amphipods, in the area from Yenisei river headwaters to its delta was used. It was revealed that the amphipods — the endemics of the Baikal lake — spread far beyond its limits not only downward, but also upstream the Yenisei river. After the commissioning of the Krasnoyarsk hydroelectric power station, their share in the total zoobenthos biomass is increased by 10 times. Gmelinoides fasciatus crustacean is especially active; it has massively populated the area of the Upper Yenisei river below the Sayano-Shushensky reservoir. The density and the fraction of crustaceans in the zoobenthos in the area of the Angara — Podkamennaya Tunguska has increased over the last 15 years. Conclusions. Creation of a geospatial database alongside with the results of expeditionary research and the introduction of a GIS web-system for information-analytical support of hydrobiological monitoring significantly expands opportunities for the analysis and presentation of geodata, forms the basis for interdisciplinary research.


2018 ◽  
Vol 36 (11) ◽  
pp. 1049-1060 ◽  
Author(s):  
L Quesada-Ruiz ◽  
V Rodriguez-Galiano ◽  
R Jordá-Borrell

The management of disposed waste in illegal landfills (ILs) is a significant problem in contemporary societies due to respective hazards for the environment and human health. This paper presents a characterisation of ILs on the islands of La Palma (LP) and Gran Canaria (GC) based on multivariable statistical analysis. Inspection of numerous sites on both islands revealed a total of 153 and 286 ILs on LP and GC, respectively. A geospatial database was created composed of different potentially explanatory features of different typology (177): waste type, control and vigilance, socioeconomic, accessibility, distance to elements of interest, visibility and physical. The degree of association between the explanatory features and the occurrence of ILs was analysed with the support of exploratory statistics and the multivariable analysis techniques of principal component analysis (PCA) and binary logistic regression (LR). PCA explained 82.34% and 81.83% of total data variance in LP and GC, respectively, considering 7 and 6 components (Kaiser–Mayer–Olkin; LP: 0.715; GC: 0.711). The LR models for LP and GC had an overall accuracy of 93.5% and 92.5%. In LP and GC, 6 of 23 features and 9 of 21 features were, respectively, selected. The features most associated with the occurrence of ILs were: in LP, building density, distance to agricultural spaces and distance to green zones; in GC, the industrial activity indicator, density of ground use transition to artificial covers, density of greenhouses and distance to communication routes.


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