Phishing Website Prediction Using Machine Learning And Explainable AI

Simple item page
dc.contributor.advisorMohammad Ashrafuzzaman Khan
dc.contributor.authorTushar Basak
dc.contributor.id1911858042
dc.coverage.departmentElectrical and Computer Engineering
dc.date.accessioned2024-05-14
dc.date.accessioned2024-05-14T09:02:40Z
dc.date.available2024-05-14T09:02:40Z
dc.date.issued2022
dc.description.abstractPhishing websites look just like regular websites but are used to hack into other people's servers and steal their information. It is mainly used by hackers who intend to steal user data and identity. These hackers steal the most common user data: our login credentials and credit card numbers. It is difficult for an ordinary human to identify a phishing website from an official and secured website. They can be the target of a phishing attack without even realizing it. The proposed project is on phishing website prediction using machine learning. The objective and project aim is to make predictions about Phishing websites using Machine Learning and Explainable AL. Since it is difficult for users to realize whether the website will hack information, a model is being created to solve the problem. For that, machine learning models will be trained on phishing website features to identify such websites in the future. My Application will guard against user data leakage through the website. It ensures data protection on different levels, such as personal, organizational, and national.
dc.description.degreeUndergraduate
dc.identifier.cd600000329
dc.identifier.print-thesisTo be assigned
dc.identifier.urihttps://repository.northsouth.edu/handle/123456789/714
dc.language.isoen
dc.publisherNorth South University
dc.rights©NSUlibrary
dc.titlePhishing Website Prediction Using Machine Learning And Explainable AI
dc.typeProject
oaire.citation.endPage41
oaire.citation.startPage1
Files
Original bundle
Now showing 1 - 2 of 2
Thumbnail Image
Name:
600000329-Abstract.pdf
Size:
131.27 KB
Format:
Adobe Portable Document Format
Description:
Download
Thumbnail Image
Name:
600000329.pdf
Size:
467.88 KB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.93 KB
Format:
Item-specific license agreed to upon submission
Description:
Download
Collections
Theses - Undergraduate