A Static Machine Learning Based Evaluation Method for Usability and Security Analysis in E-Commerce Website-Reference-Cited by-同舟云学术

A Static Machine Learning Based Evaluation Method for Usability and Security Analysis in E-Commerce Website

Published:2023 Issue: Volume:11 Page:40488-40510
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Kumar Biresh¹,Roy Sharmistha¹,Singh Kamred Udham²^ORCID,Pandey Saroj Kumar³,Kumar Ankit³,Sinha Anurag⁴^ORCID,Shukla Shubham⁵,Shah Mohd Asif⁶^ORCID,Rasool Adil⁷^ORCID

Affiliation:

1. Faculty of Computing and Information, Technology, Usha Martin University, Ranchi, Jharkhand, India

2. School of Computing, Graphic Era Hill University, Dehradun, India

3. Department of Computer Engineering and Applications, GLA University, Mathura, India

4. Department of Computer Science, IGNOU, Delhi, India

5. Krishna Institute of Engineering and Technology, Ghaziabad, India

6. School of Business, Woxsen University, Hyderabad, Telangana, India

7. Department of Management, Bakhtar University, Kabul, Afghanistan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10049424.pdf?arnumber=10049424

Reference40 articles.

1. Leveraging e-Commerce Performance through Machine Learning Algorithms

2. The Influence of Website Navigational Design on Improving Tourism Performance: Empirical Studies on Sport Tourism Providers in Indonesia

3. The Impact of COVID-19 on Consumers’ Psychological Behavior Based on Data Mining for Online User Comments in the Catering Industry in China

4. User Acceptance of Mobile Payment: The Effects of User-Centric Security, System Characteristics and Gender

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