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National Science Foundation

Cyber-Physical Systems Virtual Organization

Read-only archive of site from September 29, 2023.

CPS-VO

SMS Spam

biblio

Visible to the public A Fog-Augmented Machine Learning based SMS Spam Detection and Classification System

Submitted by aekwall on Mon, 11/08/2021 - 3:24pm
  • Support vector machines
  • Training
  • edge computing
  • Fog computing
  • Servers
  • feature extraction
  • machine learning
  • pubcrawl
  • privacy
  • Mobile handsets
  • classifiers
  • Cloud Computing
  • smart cities
  • SMS Spam
  • threat vectors
  • Measurement
biblio

Visible to the public The Roving Proxy Framewrok for SMS Spam and Phishing Detection

Submitted by grigby1 on Mon, 02/10/2020 - 11:18am
  • roving proxy framework
  • unsolicited e-mail
  • Training
  • testing
  • spam detection
  • SMS Spam
  • SMS phishing detection
  • SMishing attacks
  • SMishin
  • Servers
  • Scalability
  • BYOD security
  • pubcrawl
  • Phishing
  • Mobile handsets
  • Metrics
  • Human Factors
  • Human behavior
  • feature extraction
  • convergence
  • Computer crime
biblio

Visible to the public Convolutional Neural Network Based SMS Spam Detection

Submitted by aekwall on Mon, 02/25/2019 - 11:42am
  • spam messages
  • undesired text message
  • Tiago dataset
  • text categorization
  • SMS Spam
  • Imbalanced dataset
  • Data preprocessing
  • Cost-sensitive classification
  • convolutional neural networks
  • convolutional neural network
  • convolutional neural nets
  • CNN
  • anti-spam filters
  • text analysis
  • Scalability
  • SMS spam detection
  • electronic messaging
  • Unsolicited electronic mail
  • spam detection
  • unsolicited e-mail
  • Metrics
  • machine learning
  • pubcrawl
  • Human behavior
  • learning (artificial intelligence)
  • feature extraction
  • Support vector machines
  • Classification algorithms

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