Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/343488
Title: Script based phishing attack restriction in client side script for secure computing
Researcher: Malathi P
Guide(s): Vivekanandan P
Keywords: Engineering and Technology
Computer Science
Computer Science Software Engineering
phishing
secure computing
University: Anna University
Completed Date: 2020
Abstract: Phishing is an online theft to acquire sensitive information for the malicious purpose. It happens when the phisher masquerading as a trusted entity, cheat the user and insist to open instant messages or emails or text messages. The user may click a fake link and access the fake website which in turn installs malware or acquires the credential information. In recent years, the phisher can trick the users by accessing the client side script. Client side script phishing attack is an important issue. There are a lot of research works available to classify the website as phished or genuine. On the other hand, these areas are really challenging because the researchers need to work with the large number of features and the measures. The increase in the dimension of the features and measures has significant impact on the performance which in turn affects the speed, memory and quality. There are a variety of methodologies which are developed by the researchers to restrict the CSS phishing attack. However, it cannot be guaranteed to detect 100% CSS phishing attack. Therefore, it is always difficult to select the best methodology.In this research work, a script based phishing attack restriction in client side for secure computing is designed with the NetBeans 7.0. This research aims to produce a better accuracy for the script based website classification. The proposed client side script restriction methodologies are implemented in Java programming. The client side script restriction for these methods are done with the different network features and measures.The client side script phishing attack restriction model using a flow based approximation technique has been proposed and it uses fuzzy rule sets. newline
Pagination: p.135-147
URI: http://hdl.handle.net/10603/343488
Appears in Departments:Faculty of Science and Humanities

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01_title.pdfAttached File27.63 kBAdobe PDFView/Open
02_certificates.pdf160.34 kBAdobe PDFView/Open
03_abstracts.pdf11.5 kBAdobe PDFView/Open
04_acknowledgements.pdf7.08 kBAdobe PDFView/Open
05_vivaproceedings.pdf561.34 kBAdobe PDFView/Open
06_bonafidecertificate.pdf13.48 kBAdobe PDFView/Open
07_contents.pdf19.3 kBAdobe PDFView/Open
08_listoftables.pdf7.94 kBAdobe PDFView/Open
09_listoffigures.pdf20.19 kBAdobe PDFView/Open
10_listofabbreviations.pdf114.62 kBAdobe PDFView/Open
11_chapter1.pdf455.03 kBAdobe PDFView/Open
12_chapter2.pdf1 MBAdobe PDFView/Open
13_chapter3.pdf864.7 kBAdobe PDFView/Open
14_chapter4.pdf675.51 kBAdobe PDFView/Open
15_chapter5.pdf389.36 kBAdobe PDFView/Open
16_conclusion.pdf16.55 kBAdobe PDFView/Open
17_references.pdf188.03 kBAdobe PDFView/Open
18_listofpublications.pdf129.97 kBAdobe PDFView/Open
80_recommendation.pdf45.93 kBAdobe PDFView/Open
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