SMSDect: A Prediction Model for Smishing Attack Detection Using Machine Learning and Text Analysis-Reference-Cited by-同舟云学术

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SMSDect: A Prediction Model for Smishing Attack Detection Using Machine Learning and Text Analysis

Published:2023-12-04 Issue: Volume: Page:3837-3842
ISSN:
Container-title:GLOBECOM 2023 - 2023 IEEE Global Communications Conference
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Author:

Patra Chanchal¹,Giri Debasis¹,Obaidat Mohammad S.²,Maitra Tanmoy³

Affiliation:

1. Maulana Abul Kalam Azad University of Technology,Department of Information Technology,Haringhata, Nadia,West Bengal,India,741249

2. University of Texas-Permian Basin,Department of Computer Science and Director of Cybersecurity Center,USA

3. School of Computer Engineering, KIIT Deemed to be University,Bhubaneswar,Odisha,India,751024

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10436708/10436716/10437712.pdf?arnumber=10437712

Reference19 articles.

1. Classifying Swahili Smishing Attacks for Mobile Money Users: A Machine-Learning Approach

2. Identification of truth and deception in text: Application of vector space model to rhetorical structure theory;Rubin,2012

3. Smishing-Classifier: A Novel Framework for Detection of Smishing Attack in Mobile Environment

4. Rule-Based Framework for Detection of Smishing Messages in Mobile Environment

5. Decisive Heuristics to Differentiate Legitimate from Phishing Sites

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