Model For Mitigating Smishing Attacks On Mobile Platforms-Reference-Cited by-同舟云学术

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Model For Mitigating Smishing Attacks On Mobile Platforms

Published:2021-12-09 Issue: Volume: Page:
ISSN:
Container-title:2021 International Conference on Electrical, Computer and Energy Technologies (ICECET)
language:
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Author:

Njuguna David¹,Kamau John¹,Kaburu Dennis²

Affiliation:

1. Mount kenya University,Department of Information Technology,Thika,Kenya

2. Jomo Kenyatta University of Agriculture and Technology,Department of Information Technology,Juja,Kenya

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9698246/9698247/09698789.pdf?arnumber=9698789

Reference20 articles.

1. S-Detector: an enhanced security model for detecting Smishing attack for mobile computing

2. SMSAssassin

3. A Content-Based Approach for Detecting Smishing in Mobile Environment

4. A Hybrid CNN-LSTM Model for SMS Spam Detection in Arabic and English Messages

5. Deep learning to filter SMS Spam

Cited by 2 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. Literature Review of SMS Phishing Attacks: Lessons, Addresses, and Future Challenges;Communications in Computer and Information Science;2024

2. A content and URL analysis‐based efficient approach to detect smishing SMS in intelligent systems;International Journal of Intelligent Systems;2022-09-06

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