Wangiri Fraud: Pattern Analysis and Machine-Learning-Based Detection-Reference-Cited by-同舟云学术

Wangiri Fraud: Pattern Analysis and Machine-Learning-Based Detection

Published:2023-04-15 Issue:8 Volume:10 Page:6794-6802
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Ravi Akshaya¹,Msahli Mounira¹^ORCID,Qiu Han²^ORCID,Memmi Gerard¹^ORCID,Bifet Albert¹,Qiu Meikang³^ORCID

Affiliation:

1. LTCI, Telecom Paris, Institut Polytechnique de Paris, Palaiseau, France

2. Beijing National Research Center for Information Science and Technology, Institute for Network Sciences and Cyberspace, Tsinghua University, Beijing, China

3. Department of Computer Science, Texas A&M University Commerce, Commerce, TX, USA

Funder

DETSI project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6488907/10094209/09772071.pdf?arnumber=9772071

Reference35 articles.

1. Cloud-Edge Orchestration for the Internet of Things: Architecture and AI-Powered Data Processing

2. Selective encryption on ECG data in body sensor network based on supervised machine learning

3. Agreement, the F-Measure, and Reliability in Information Retrieval

4. Detection of Wangiri Telecommunication Fraud Using Ensemble Learning

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