A comprehensive survey for intelligent spam email detection
The tremendously growing problem of phishing e-mail, also known as spam including spear
phishing or spam borne malware, has demanded a need for reliable intelligent anti-spam e …
phishing or spam borne malware, has demanded a need for reliable intelligent anti-spam e …
Machine learning techniques applied to cybersecurity
J Martínez Torres, C Iglesias Comesaña… - International Journal of …, 2019 - Springer
Abstract Machine learning techniques are a set of mathematical models to solve high non-
linearity problems of different topics: prediction, classification, data association, data …
linearity problems of different topics: prediction, classification, data association, data …
[HTML][HTML] Improving malicious URLs detection via feature engineering: Linear and nonlinear space transformation methods
In malicious URLs detection, traditional classifiers are challenged because the data volume
is huge, patterns are changing over time, and the correlations among features are …
is huge, patterns are changing over time, and the correlations among features are …
Contributions to the study of SMS spam filtering: new collection and results
The growth of mobile phone users has lead to a dramatic increasing of SMS spam
messages. In practice, fighting mobile phone spam is difficult by several factors, including …
messages. In practice, fighting mobile phone spam is difficult by several factors, including …
Spam filtering using a logistic regression model trained by an artificial bee colony algorithm
Email spam is a serious problem that annoys recipients and wastes their time. Machine-
learning methods have been prevalent in spam detection systems owing to their efficiency in …
learning methods have been prevalent in spam detection systems owing to their efficiency in …
Tubespam: Comment spam filtering on youtube
The profitability promoted by Google in its brand new video distribution platform YouTube
has attracted an increasing number of users. However, such success has also attracted …
has attracted an increasing number of users. However, such success has also attracted …
Spam filtering using integrated distribution-based balancing approach and regularized deep neural networks
A Barushka, P Hajek - Applied Intelligence, 2018 - Springer
Rapid growth in the volume of unsolicited and unwanted messages has inspired the
development of many anti-spam methods. Supervised anti-spam filters using machine …
development of many anti-spam methods. Supervised anti-spam filters using machine …
Efficient clustering of emails into spam and ham: The foundational study of a comprehensive unsupervised framework
The spread and adoption of spam emails in malicious activities like information and identity
theft, malware propagation, monetary and reputational damage etc. are on the rise with …
theft, malware propagation, monetary and reputational damage etc. are on the rise with …
Training logistic regression model by enhanced moth flame optimizer for spam email classification
Spam email is a massive issue that bothers and consumes receivers' time and effort.
Because of its effectiveness in identifying mail as wanted or unwanted, machine learning …
Because of its effectiveness in identifying mail as wanted or unwanted, machine learning …
Text normalization and semantic indexing to enhance instant messaging and SMS spam filtering
The rapid popularization of smartphones has contributed to the growth of online Instant
Messaging and SMS usage as an alternative way of communication. The increasing number …
Messaging and SMS usage as an alternative way of communication. The increasing number …