GAMEFEST: Genetic Algorithmic Multi Evaluation measure based FEature Selection Technique for social network spam detection
Sign Up to like & getrecommendations! Published in 2019 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-019-08334-1
Abstract: Social Network sites have become incredibly important in the present day. This popularity attracts the attacker to easily approach a large population and to have access to massive information for performing intrusion activities in Online… read more here.
Keywords: feature selection; feature; selection; evaluation ... See more keywords
Key insights into recommended SMS spam detection datasets
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DOI: 10.1038/s41598-025-92223-1
Abstract: Short Message Service (SMS) spam poses significant risks, including financial scams and phishing attempts. Although numerous datasets from online repositories have been utilized to address this issue, little attention has been given to evaluating their… read more here.
Keywords: detection; insights recommended; detection datasets; spam detection ... See more keywords
SMART: Semantic, Multi-Objective, and Reinforcement-Based Adversarial Training for Email Spam Detection
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DOI: 10.1109/access.2025.3581131
Abstract: This paper introduces SMART, a robust framework for email spam detection designed to adapt to and mitigate adversarial spam emails. SMART integrates several advanced techniques, including text cleaning and tokenization, word embeddings, K-means clustering for… read more here.
Keywords: spam detection; spam; email spam; adversarial training ... See more keywords
Intelligent Web Spam Detection in the Consumer Internet of Things
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Consumer Electronics"
DOI: 10.1109/tce.2024.3412678
Abstract: The Consumer Internet of Things (CIoT) integrates the advantage of Internet of Things (IoT) technologies to provide convenience in consumers’ daily lives. With the rapid development of the CIoT, data collected from consumer smart devices… read more here.
Keywords: consumer; consumer internet; random forest; spam detection ... See more keywords
Real-Time Twitter Spam Detection and Sentiment Analysis using Machine Learning and Deep Learning Techniques
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/5211949
Abstract: In this modern world, we are accustomed to a constant stream of data. Major social media sites like Twitter, Facebook, or Quora face a huge dilemma as a lot of these sites fall victim to… read more here.
Keywords: spam; machine; spam detection; model ... See more keywords
A Framework for Spam Detection in Twitter Based on Recommendation System
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Intelligent Engineering and Systems"
DOI: 10.22266/ijies2020.1031.09
Abstract: The rapidly growing online social networking sites have been infiltrated by a large amount of spam. Spammers are a particular kind of ill-intentioned users who degrade the quality of OSNs information through misusing all possible… read more here.
Keywords: framework spam; detection; detection twitter; spam detection ... See more keywords
A Discrete Hidden Markov Model for SMS Spam Detection
Sign Up to like & getrecommendations! Published in 2020 at "Applied Sciences"
DOI: 10.3390/app10145011
Abstract: Many machine learning methods have been applied for short messaging service (SMS) spam detection, including traditional methods such as naïve Bayes (NB), vector space model (VSM), and support vector machine (SVM), and novel methods such… read more here.
Keywords: hidden markov; discrete hidden; sms spam; model ... See more keywords