A Survey on Deception Techniques for Securing Web Application

Big data; Anomaly based detection; Application layer protocols; Application layers; deception; Prevention techniques; security; WEB application; Web application attacks; Network security

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Bibliographic Details
Main Authors: Mohd Efendi M.A.E., Ibrahim Z.-A., Ahmad Zawawi M.N., Abdul Rahim F., Muhamad Pahri N., Ismail A.
Other Authors: 57215353650
Format: Conference Paper
Published: Institute of Electrical and Electronics Engineers Inc. 2023
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Institution: Universiti Tenaga Nasional
id my.uniten.dspace-24661
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spelling my.uniten.dspace-246612023-05-29T15:25:37Z A Survey on Deception Techniques for Securing Web Application Mohd Efendi M.A.E. Ibrahim Z.-A. Ahmad Zawawi M.N. Abdul Rahim F. Muhamad Pahri N. Ismail A. 57215353650 57203863738 56997510600 57350579500 57215354686 57199833882 Big data; Anomaly based detection; Application layer protocols; Application layers; deception; Prevention techniques; security; WEB application; Web application attacks; Network security Many web applications are developed to handle important and critical tasks, which may attract a large number of attackers. With various types of attacks, there is no finite solution to mitigate it's all. Deception technique is one of the area that can be explore to defend against web attack. Deception can detect, analyzed and defend against advanced web attack that cannot be done using existing anomaly-based detection and prevention techniques. Current deceptive solutions tend to be doubtful to application-layer protocols and lack of study on how deception can be applied at this level. Thus, those solutions can't properly be used to protect against application-layer attacks that are integrally based on elements from the application-layer itself. This research aims to study possible usages of deception techniques that could be incorporated in the context of application-layer traffic of web applications with the purpose of detecting web application attacks. The comparative results from this study will be used to identify which deception techniques are suitable to provide a useful layer of protection for a web application. � 2019 IEEE. Final 2023-05-29T07:25:37Z 2023-05-29T07:25:37Z 2019 Conference Paper 10.1109/BigDataSecurity-HPSC-IDS.2019.00066 2-s2.0-85072781722 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072781722&doi=10.1109%2fBigDataSecurity-HPSC-IDS.2019.00066&partnerID=40&md5=6ccdfdcb5d2e311d8805f327f649def4 https://irepository.uniten.edu.my/handle/123456789/24661 8819492 328 331 Institute of Electrical and Electronics Engineers Inc. Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Big data; Anomaly based detection; Application layer protocols; Application layers; deception; Prevention techniques; security; WEB application; Web application attacks; Network security
author2 57215353650
author_facet 57215353650
Mohd Efendi M.A.E.
Ibrahim Z.-A.
Ahmad Zawawi M.N.
Abdul Rahim F.
Muhamad Pahri N.
Ismail A.
format Conference Paper
author Mohd Efendi M.A.E.
Ibrahim Z.-A.
Ahmad Zawawi M.N.
Abdul Rahim F.
Muhamad Pahri N.
Ismail A.
spellingShingle Mohd Efendi M.A.E.
Ibrahim Z.-A.
Ahmad Zawawi M.N.
Abdul Rahim F.
Muhamad Pahri N.
Ismail A.
A Survey on Deception Techniques for Securing Web Application
author_sort Mohd Efendi M.A.E.
title A Survey on Deception Techniques for Securing Web Application
title_short A Survey on Deception Techniques for Securing Web Application
title_full A Survey on Deception Techniques for Securing Web Application
title_fullStr A Survey on Deception Techniques for Securing Web Application
title_full_unstemmed A Survey on Deception Techniques for Securing Web Application
title_sort survey on deception techniques for securing web application
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2023
_version_ 1806428099863117824