article analyzes XSS vulnerabilities in OJS (Open Journal Systems) and develops a model for protecting against these attacks. It discusses different types of XSS attacks, vulnerabilities in OJS, methods of detecting t...
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article analyzes XSS vulnerabilities in OJS (Open Journal Systems) and develops a model for protecting against these attacks. It discusses different types of XSS attacks, vulnerabilities in OJS, methods of detecting them, and potential consequences for system security. The article describes a specific vulnerability that can be exploited to inject malicious code through user input of specially generated data. Based on the analysis, a protection model is developed, which includes the introduction of restrictions for vulnerable fields, encoding, and filtering of data before displaying it on the page. This article is essential for OJS administrators and developers to ensure high security and protection against potential XSS attacks.
Web Applications are the better way for an organization to share the resources through the internet, but they often contains bugs which results as the security threat to the organization. For an organization, Informat...
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ISBN:
(纸本)9781538632437
Web Applications are the better way for an organization to share the resources through the internet, but they often contains bugs which results as the security threat to the organization. For an organization, Information security is a critical aspect. Vulnerability Scanners helps to find the vulnerabilities in the web applications in attacker's perspective. According the Open Web Application Security Project (OWASP) there 23 subcategories of vulnerabilities W. This paper describes about the system which helps to automatically finds and fixes the vulnerabilities present in the web applications using the machine learning. Machine learning helps to improvise the performance of the system using the statistics of the previous results.
Web Applications are the better way for an organization to share the resources through the internet, but they often contains bugs which results as the security threat to the organization. For an organization, Informat...
详细信息
ISBN:
(纸本)9781538632444
Web Applications are the better way for an organization to share the resources through the internet, but they often contains bugs which results as the security threat to the organization. For an organization, Information security is a critical aspect. Vulnerability Scanners helps to find the vulnerabilities in the web applications in attacker's perspective. According the Open Web Application Security Project (OWASP) there 23 subcategories of vulnerabilities [1]. This paper describes about the system which helps to automatically finds and fixes the vulnerabilities present in the web applications using the machine learning. Machine learning helps to improvise the performance of the system using the statistics of the previous results.
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