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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Detecting Security Vulnerability in Web Applications

Detecting Security Vulnerability in Web Applications

Imhanlahimi, Rebecca

Paperback

General Computers

ISBN10: 6208012562
ISBN13: 9786208012564
Publisher: LAP Lambert Academic Publishing
Published: Aug 29 2024
Pages: 108
Weight: 0.37
Height: 0.26 Width: 6.00 Depth: 9.00
Language: English
In this research work, we presented a new XSS defense strategy framework based on soft-computing approach designed to be more effective in widely deployed existing web browsers, despite anomalous browser behavior. Links access is paramount among web users without knowing the hidden agenda behind those links. The proposed design framework will protect users against the execution of malicious codes on their computing devices via web browser. The techniques used in this work provide not only a self-learning ability but take care of the greatest problem of the XSS scripting code which is inability of the browser to differentiate between benign and malicious codes. Because computing devices are being used by technical and as well as non technical users, this model offers every users equal security measure, as non technical users do not have the fear of not being able to successfully select the right policies to apply in order to protect their sensitive data as found in measures that are based on policies.

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