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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: March 2026
Volume 11 | Issue 3
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21574
Article Published : 8528
Total Authors : 22430
Total Reviewer : 805
Total Countries : 159
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| Paper Title: | AI-Shielded Commerce: Investigating Phishing Threats and Intelligent Defence Models in Modern E-Business |
| Authors Name: | Krupa B P , Roopa H M , Rohit M N |
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IJRTI_207835
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| Published Paper Id: | IJRTI2511143 |
| Published In: | Volume 10 Issue 11, November-2025 |
| DOI: | |
| Abstract: | Phishing attacks have rapidly evolved into one of the most persistent threats impacting global e-business ecosystems. As digital commerce expands, threat actors increasingly deploy intelligent and highly deceptive phishing techniques that bypass traditional rule-based filters. This study conducts a comprehensive assessment of phishing vulnerabilities in e-business platforms and evaluates the effectiveness of AI-based defence systems capable of detecting deceptive behaviours in real time. Using a multidisciplinary perspective that blends computer science, cyber-security, and electronic commerce, the research analyses phishing attack patterns, identifies risk factors affecting consumer trust, and develops an adaptive AI-driven detection framework using machine-learning and natural-language processing. A two-page literature review consolidates advancements across phishing detection, adversarial behaviours, and AI-enabled defences. Findings highlight that hybrid deep-learning models, when trained with behavioural and linguistic features, outperform legacy detection systems in accuracy and adaptability. |
| Keywords: | Phishing, E-Business Security, Machine Learning, Deep Learning, Cyber Fraud, NLP-based Detection, Intelligent Security Systems, Online Trust, Digital Commerce, Cyber Threat Modelling. |
| Cite Article: | "AI-Shielded Commerce: Investigating Phishing Threats and Intelligent Defence Models in Modern E-Business", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 11, page no.b339-b343, November-2025, Available :http://www.ijrti.org/papers/IJRTI2511143.pdf |
| Downloads: | 000190 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2511143
Registration ID:207835
Published In: Volume 10 Issue 11, November-2025
DOI (Digital Object Identifier):
Page No: b339-b343 Country: bengaluru, karnataka, India Research Area: Commerce Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2511143 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2511143 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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