Enhanced anomaly network intrusion detection using an improved snow ablation optimizer with dimensionality reduction and hybrid deep learning model. [PDF]
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Leveraging blockchain for cybersecurity detection using hybridization of prairie dog optimization with differential evolution on internet of things environment. [PDF]
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A survey of detection methods for XSS attacks
Journal of Network and Computer Applications, 2018Abstract Cross-site scripting attack (abbreviated as XSS) is an unremitting problem for the Web applications since the early 2000s. It is a code injection attack on the client-side where an attacker injects malicious payload into a vulnerable Web application.
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Cross-site scripting (XSS) attacks and mitigation: A survey
Computer Networks, 2020Abstract The results of the Cisco 2018 Annual Security Report show that all analyzed web applications have at least one vulnerability. It also shows that web attacks are becoming more frequent, specific and sophisticated. According to this report, 40% of all attack attempts lead to a method known as Cross-Site Scripting (XSS), which was the most ...
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A Comparison of Machine Learning Algorithms for Detecting XSS Attacks
Lecture Notes in Computer Science, 2019With the rapid increase of web applications, the problem of XSS (cross-site scripting) attacks in Web applications is becoming more and more serious. In the face of more and more complex and changeable XSS attacks, the traditional XSS defense method cannot solve the problem of XSS security, inefficient and accurate recognition effect is poor. Therefore,
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Black-box adversarial attacks on XSS attack detection model
Computers & Security, 2022Abstract Cross-site scripting (XSS) has been extensively studied, although mitigating such attacks in web applications remains challenging. While there is an increasing number of XSS attack detection approaches designed based on machine learning and deep learning algorithms, it is important to study and evaluate the reliability and security of these ...
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A Survey: XSS Attack On Web Applications
SSRN Electronic Journal, 2020These days the web applications are profoundly valuable and amazing for utilization in many fields, for example, fund, web-based business, human resource, etc so it must be all around verified. Applications may be susceptible, hence get abused by assailants to take the client's credentials.
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Proliferation of social networking sites, and web applications which deliver dynamic content to the clients have increased the user created HTML content in the World Wide Web. This user-created HTML content can be a notorious vector for Cross-Site Scripting,(XSS) attacks.
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A Survey on XSS Attack Detection and Prevention in Web Applications
Proceedings of the 2020 12th International Conference on Machine Learning and Computing, 2020With the popularity of web technology, web applications become more increasingly vulnerable and are exposed to malicious attacks. Cross Site Scripting(XSS) is a typical attack in web applications. When a vulnerability is exploited, an attacker may perform session-hijacking, cookie-stealing, malicious redirection and malware spreading.
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