SCANNING THE DATABASE WITH THE XSS DETECTION USING THE FITNESS ALGORITHM

International Journal of Machine Learning and Networked Collaborative Engineering

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Field Value
 
Title SCANNING THE DATABASE WITH THE XSS DETECTION USING THE FITNESS ALGORITHM
 
Creator Dwivedi, Bhavna
 
Subject XXS,pmd tool, Veracode tools
 
Description In this paper, we provide an overview of the tool used in XSS detection. This tool helps us to detect the XSS attacker. XSS is the malware which helps the attacker to attack in any web-application and stolen the client data from the server, which the client or customer is storage when even the fill form in that web application We analyze a new and efficient algorithm that helps us to secure the database for the server-side. The Genetic Fitness Algorithm is used to secure the database for the server-side, there are many algorithms like multi-path, crossover which is used to detect the XSS attacker but this algorithm is not accurate and satisfied the database security. We will analyze the genetic fitness algorithm and have many properties to achieve security for the database. It is complicated for which it is difficult for any attackers to break the security and steal the data from the server site.
 
Publisher SR Informatics, New Delhi, India
 
Date 2020-07-05
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier http://www.mlnce.net/index.php/Home/article/view/127
 
Source International Journal of Machine Learning and Networked Collaborative Engineering; Vol. 3 No. 04 (2019): Volume No 03 Issue No 04; 219-228
2581-3242
 
Language eng
 
Relation http://www.mlnce.net/index.php/Home/article/view/127/72
 
Rights Copyright (c) 2019 International Journal of Machine Learning and Networked Collaborative Engineering
http://creativecommons.org/licenses/by-nc-nd/4.0
 

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