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Text normalization and semantic indexing to enhance Instant Messaging and SMS spam filtering

Knowledge-based systems, 2016-09, Vol.108, p.25-32

2016

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Controlling Privacy and the Use of Data Assets - Volume 1: Who Owns the New Oil?

Mattsson, Ulf

1, 2022

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Using Live Spam Beater (LiSB) Framework for Spam Filtering during SMTP Transactions

Applied sciences, 2022-10, Vol.12 (20), p.10491

2022

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Using new scheduling heuristics based on resource consumption information for increasing throughput on rule-based spam filtering systems

Software, practice & experience, 2016-08, Vol.46 (8), p.1035-1051

2016

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RuleSIM: a toolkit for simulating the operation and improving throughput of rule-based spam filters

Software, practice & experience, 2016-08, Vol.46 (8), p.1091-1108

2016

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How the machine ‘thinks’: Understanding opacity in machine learning algorithms

Big data & society, 2016-01, Vol.3 (1), p.205395171562251

Burrell, Jenna

2016

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An intelligent system for spam detection and identification of the most relevant features based on evolutionary Random Weight Networks

Information fusion, 2019-08, Vol.48, p.67-83

2019

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Anti-Spam Techniques Based on Artificial Immune System

Tan, Ying

1, 2016

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A Comprehensive Survey for Intelligent Spam Email Detection

IEEE access, 2019, Vol.7, p.168261-168295

2019

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Machine learning for email spam filtering: review, approaches and open research problems

Heliyon, 2019-06, Vol.5 (6), p.e01802-e01802, Article e01802

2019

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Anti-Spam Measures: Analysis and Design

Schryen, Guido

1. Aufl., 2007

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Spam filtering using a logistic regression model trained by an artificial bee colony algorithm

Applied soft computing, 2020-06, Vol.91, p.106229, Article 106229

2020

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SMS spam filtering: Methods and data

Expert systems with applications, 2012-08, Vol.39 (10), p.9899-9908

2012

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A new semantic-based feature selection method for spam filtering

Applied soft computing, 2019-03, Vol.76, p.89-104

2019

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A review of machine learning approaches to Spam filtering

Expert systems with applications, 2009-09, Vol.36 (7), p.10206-10222

2009

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A weighted feature enhanced Hidden Markov Model for spam SMS filtering

Neurocomputing (Amsterdam), 2021-07, Vol.444, p.48-58

2021

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Spam image email filtering using K-NN and SVM

International journal of electrical and computer engineering (Malacca, Malacca), 2019-02, Vol.9 (1), p.245

2019

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Group encryption: Full dynamicity, message filtering and code-based instantiation

Theoretical computer science, 2024-07, Vol.1007, Article 114678

2024

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Recent developments in social spam detection and combating techniques: A survey

Information processing & management, 2016-11, Vol.52 (6), p.1053-1073

2016

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Efficient e-mail spam filtering approach combining Logistic Regression model and Orthogonal Atomic Orbital Search algorithm

Applied soft computing, 2023-09, Vol.144, p.110478, Article 110478

2023

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Concept drift in e-mail datasets: An empirical study with practical implications

Information sciences, 2018-02, Vol.428, p.120-135

2018

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A survey on deep learning for cybersecurity: Progress, challenges, and opportunities

Computer networks (Amsterdam, Netherlands : 1999), 2022-07, Vol.212, p.109032, Article 109032

2022

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Adversarial Feature Selection Against Evasion Attacks

IEEE transactions on cybernetics, 2016-03, Vol.46 (3), p.766-777

2016

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Sentiment analysis and spam filtering using the YAC2 clustering algorithm with transferability

Computers & industrial engineering, 2022-03, Vol.165, p.107959, Article 107959

2022

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Incorporation of company-related factual knowledge into pre-trained language models for stock-related spam tweet filtering

Expert systems with applications, 2023-12, Vol.234, p.121021, Article 121021

2023

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Text normalization and semantic indexing to enhance Instant Messaging and SMS spam filtering

Controlling Privacy and the Use of Data Assets - Volume 1: Who Owns the New Oil?

Using Live Spam Beater (LiSB) Framework for Spam Filtering during SMTP Transactions

Using new scheduling heuristics based on resource consumption information for increasing throughput on rule-based spam filtering systems

RuleSIM: a toolkit for simulating the operation and improving throughput of rule-based spam filters

How the machine ‘thinks’: Understanding opacity in machine learning algorithms

An intelligent system for spam detection and identification of the most relevant features based on evolutionary Random Weight Networks

Anti-Spam Techniques Based on Artificial Immune System

A Comprehensive Survey for Intelligent Spam Email Detection

Machine learning for email spam filtering: review, approaches and open research problems

Anti-Spam Measures: Analysis and Design

Spam filtering using a logistic regression model trained by an artificial bee colony algorithm

SMS spam filtering: Methods and data

A new semantic-based feature selection method for spam filtering

A review of machine learning approaches to Spam filtering

A weighted feature enhanced Hidden Markov Model for spam SMS filtering

Spam image email filtering using K-NN and SVM

Group encryption: Full dynamicity, message filtering and code-based instantiation

Recent developments in social spam detection and combating techniques: A survey

Efficient e-mail spam filtering approach combining Logistic Regression model and Orthogonal Atomic Orbital Search algorithm

Concept drift in e-mail datasets: An empirical study with practical implications

A survey on deep learning for cybersecurity: Progress, challenges, and opportunities

Adversarial Feature Selection Against Evasion Attacks

Sentiment analysis and spam filtering using the YAC2 clustering algorithm with transferability

Incorporation of company-related factual knowledge into pre-trained language models for stock-related spam tweet filtering

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