machine learning

Web Usage Mining In E-commerce Security

Architechture

Abstract:

How to Enhance E-commerce Website Security Using Web Mining Technology

In this article, we explore the application of web mining technology to enhance the security of e-commerce websites. We analyze the relationship between web mining, security, and e-commerce by examining user behavior on the web. Various web mining algorithms and security measures are employed to fortify the security of e-commerce websites.

To tailor our security solutions to customer behavior, we utilize different web mining algorithms such as the PageRank algorithm and the TrustRank algorithm. These algorithms form the foundation of our web mining framework for e-commerce websites. Additionally, we have developed the False Hit Database Algorithm and the Nearest Neighbor Algorithm to bolster the security of e-commerce websites

Existing System :

Numerous e-commerce websites are accessible, offering user registration as a fundamental security measure. However, these sites often prioritize registration and login processes while overlooking the validation of user-provided information. Popular e-commerce platforms like OLX and eBay follow a similar model, making it challenging to analyze user behavior effectively

Proposed System :

We are considering an ecommerce site, where every user will be registered and will be able to use the application only after their login. All the entries of the users are also analyzed so that the security is taken into consideration and decision of valid or invalid user is taken.

Modules:

E-Commerce Module: This will facilitate users to add products and their features into the system in a particular format. It will also make it easier to access the populated list of valid products. This will lead to generation of pages related to products which will be validated for its trust level based on the Trust Rank mechanism.
Product Search Module: This module will enable users to search for products in the product list using specified keywords and the associated Trust Rank. Thereby, the user will be facilitated to perform an accurate searching of products
Product Page Analysis: This module will facilitate the system to analyze various product pages and finalize the Trust Rank associated with them. As a result, the system will determine the validity of the products based on their associated Rank. Thus, only valid products will be displayed by the application on the product page.
Product Clustering: This module will allow the system to categorize products into different categories based on a selected set of characteristics.. These clustered products will be utilized for performing the search process.