A content and URL analysis‐based efficient approach to detect smishing SMS in intelligent systems-Reference-Cited by-同舟云学术

A content and URL analysis‐based efficient approach to detect smishing SMS in intelligent systems

Published:2022-09-06 Issue:12 Volume:37 Page:11117-11141
ISSN:0884-8173
Container-title:International Journal of Intelligent Systems
language:en
Short-container-title:Int J of Intelligent Sys

Author:

Jain Ankit K.¹,Gupta Brij B.²³⁴⁵,Kaur Kamaljeet¹,Bhutani Piyush¹,Alhalabi Wadee³,Almomani Ammar⁴⁶

Affiliation:

1. Department of Computer Engineering National Institute of Technology Kurukshetra India

2. International Center for AI and Cyber Security Research and Innovations & Department of Computer Science and Information Engineering Asia University Taichung Taiwan

3. Department of Computer Science King Abdulaziz University Jeddah Saudi Arabia

4. Research and Innovation Department Skyline University College Sharjah UAE

5. Lebanese American University Beirut Lebanon

6. IT‐department‐Al‐Huson University College, Al‐Balqa Applied University Irbid Jordan

Publisher

Hindawi Limited

Subject

Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/int.23035

Reference38 articles.

1. Detection of phishing attacks in financial and e-banking websites using link and visual similarity relation

2. Defending against phishing attacks: taxonomy of methods, current issues and future directions

3. NjugunaD KamauJ KaburuD. Model for mitigating smishing attacks on mobile platforms. 2021 International Conference on Electrical Computer and Energy Technologies (ICECET). IEEE;2021:1‐6.

4. MishraS SoniD. SMS phishing and mitigation approaches. 2019 Twelfth International Conference on Contemporary Computing (IC3);2019:1‐5.doi:10.1109/IC3.2019.8844920

5. Phishing Website Detection With Semantic Features Based on Machine Learning Classifiers

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A privacy-preserving approach for detecting smishing attacks using federated deep learning;International Journal of Information Technology;2024-08-11

2. Examining the Influence of AI Chatbots on Semantic Web-Based Global Information Management in Various Industries;International Journal on Semantic Web and Information Systems;2024-05-07

3. Thai-language chatbot security: Detecting instruction attacks with XLM-RoBERTa and Bi-GRU;Computers and Electrical Engineering;2024-05

4. The anatomy of deception: Measuring technical and human factors of a large-scale phishing campaign;Computers & Security;2024-05

5. AbuseGPT: Abuse of Generative AI ChatBots to Create Smishing Campaigns;2024 12th International Symposium on Digital Forensics and Security (ISDFS);2024-04-29