Prevention and Fighting against Web Attacks through Anomaly Detection Technology. A Systematic Review

Tomás Sureda Riera, Juan-Ramón Bermejo Higuera, Javier Bermejo Higuera, José-Javier Martínez Herraiz and Juan-Antonio Sicilia Montalvo
Additional contact information
Tomás Sureda Riera: Computer Science Department, University of Alcalá, Alcalá de Henares, 28805 Madrid, Spain
Juan-Ramón Bermejo Higuera: Escuela Superior de Ingeniería y Tecnología (ESIT), Universidad Internacional de la Rioja (UNIR), Logroño, 26006 La Rioja, Spain
Javier Bermejo Higuera: Escuela Superior de Ingeniería y Tecnología (ESIT), Universidad Internacional de la Rioja (UNIR), Logroño, 26006 La Rioja, Spain
José-Javier Martínez Herraiz: Computer Science Department, University of Alcalá, Alcalá de Henares, 28805 Madrid, Spain
Juan-Antonio Sicilia Montalvo: Escuela Superior de Ingeniería y Tecnología (ESIT), Universidad Internacional de la Rioja (UNIR), Logroño, 26006 La Rioja, Spain

Sustainability, 2020, vol. 12, issue 12, 1-45

Abstract: Numerous techniques have been developed in order to prevent attacks on web servers. Anomaly detection techniques are based on models of normal user and application behavior, interpreting deviations from the established pattern as indications of malicious activity. In this work, a systematic review of the use of anomaly detection techniques in the prevention and detection of web attacks is undertaken; in particular, we used the standardized method of a systematic review of literature in the field of computer science, proposed by Kitchenham. This method is applied to a set of 88 papers extracted from a total of 8041 reviewed papers, which have been published in notable journals. This paper discusses the process carried out in this systematic review, as well as the results and findings obtained to identify the current state of the art of web anomaly detection.

Keywords: anomaly detection; web attacks; systematic review (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/2071-1050/12/12/4945/pdf (application/pdf)
https://www.mdpi.com/2071-1050/12/12/4945/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:12:y:2020:i:12:p:4945-:d:372713

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().