{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T18:05:38Z","timestamp":1775066738582,"version":"3.50.1"},"reference-count":23,"publisher":"IGI Global","issue":"1","license":[{"start":{"date-parts":[[2024,11,15]],"date-time":"2024-11-15T00:00:00Z","timestamp":1731628800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/deed.en_US"},{"start":{"date-parts":[[2024,11,15]],"date-time":"2024-11-15T00:00:00Z","timestamp":1731628800000},"content-version":"am","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/deed.en_US"},{"start":{"date-parts":[[2024,11,15]],"date-time":"2024-11-15T00:00:00Z","timestamp":1731628800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/deed.en_US"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,11,15]]},"abstract":"<p>For e-commerce systems, phishing attempts remain a major threat, so sophisticated detection techniques using Semantic Web and artificial intelligence are very necessary. An efficient AI-driven Semantic Web method for phishing detection enhancement is presented in this work. The approach uses the Chi-square feature selection approach along with the Adaptive Differential Evolution with Optional External Archive (JADE) algorithm to optimize the hyperparameters of a Convolutional Neural Network (CNN) model. Having grown up on a large collection of more than 11,000 webpages, the model attained 93% accuracy. Although alternative models sometimes exceeded it in accuracy, the suggested method always showed the lowest loss values throughout all epochs, therefore stressing its stability and efficiency. Comparative study using conventional models confirms its resilience against phishing attacks for protecting e-commerce systems.<\/p>","DOI":"10.4018\/ijswis.359767","type":"journal-article","created":{"date-parts":[[2024,11,16]],"date-time":"2024-11-16T03:21:18Z","timestamp":1731727278000},"page":"1-13","source":"Crossref","is-referenced-by-count":24,"title":["Optimized AI-Driven Semantic Web Approach for Enhancing Phishing Detection in E-Commerce Platforms"],"prefix":"10.4018","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5796-9424","authenticated-orcid":true,"given":"Akshat","family":"Gaurav","sequence":"first","affiliation":[{"name":"Ronin Institute, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kwok Tai","family":"Chui","sequence":"additional","affiliation":[{"name":"Hong Kong Metropolitan University, Hong Kong"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Varsha","family":"Arya","sequence":"additional","affiliation":[{"name":"Department of Business Administration, Asia University, Taiwan & Department of Electrical and Computer Engineering, Lebanese American University, Beirut, Lebanon"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Razaz Waheeb","family":"Attar","sequence":"additional","affiliation":[{"name":"Management Department, College of Business Administration, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-8699-6884","authenticated-orcid":true,"given":"Shavi","family":"Bansal","sequence":"additional","affiliation":[{"name":"Insights2Techinfo, India & Center for Interdisciplinary Research, University of Petroleum and Energy Studies (UPES), Dehradun, India & UCRD, Chandigarh University, Chandigarh, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ahmed","family":"Alhomoud","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Faculty of Science, Northern Border University, Arar, Saudi Arabia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0020-6394","authenticated-orcid":true,"given":"Konstantinos","family":"Psannis","sequence":"additional","affiliation":[{"name":"University of Macedonia, Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"2432","reference":[{"key":"IJSWIS.359767-0","doi-asserted-by":"publisher","DOI":"10.1108\/JSBED-10-2013-0145"},{"key":"IJSWIS.359767-1","doi-asserted-by":"publisher","DOI":"10.4018\/IJSWIS.297032"},{"key":"IJSWIS.359767-2","doi-asserted-by":"publisher","DOI":"10.4018\/IJCAC.297106"},{"key":"IJSWIS.359767-3","author":"M.Bitaab","year":"2023","journal-title":"Beyond phish: Toward detecting fraudulent e-commerce websites at scale. 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