A systematic literature review on phishing email detection using natural language processing techniques
Every year, phishing results in losses of billions of dollars and is a major threat to the Internet
economy. Phishing attacks are now most often carried out by email. To better comprehend …
economy. Phishing attacks are now most often carried out by email. To better comprehend …
SoK: a comprehensive reexamination of phishing research from the security perspective
Phishing and spear phishing are typical examples of masquerade attacks since trust is built
up through impersonation for the attack to succeed. Given the prevalence of these attacks …
up through impersonation for the attack to succeed. Given the prevalence of these attacks …
Multi-label arabic text classification in online social networks
Abstract Online Social Networks (OSNs) are the most popular interactive media for
communicating, posting, and sharing indefinite amounts of personal information. However …
communicating, posting, and sharing indefinite amounts of personal information. However …
An in-depth benchmarking and evaluation of phishing detection research for security needs
We perform an in-depth, systematic benchmarking study and evaluation of phishing features
on diverse and extensive datasets. We propose a new taxonomy of features based on the …
on diverse and extensive datasets. We propose a new taxonomy of features based on the …
Intelligent web-phishing detection and protection scheme using integrated features of Images, frames and text
MA Adebowale, KT Lwin, E Sanchez… - Expert Systems with …, 2019 - Elsevier
A phishing attack is one of the most significant problems faced by online users because of its
enormous effect on the online activities performed. In recent years, phishing attacks continue …
enormous effect on the online activities performed. In recent years, phishing attacks continue …
[PDF][PDF] A novel hybrid approach of SVM combined with NLP and probabilistic neural network for email phishing
Phishing attacks are one of the slanting cyber-attacks that apply socially engineered
messages that are imparted to individuals from expert hackers going for tricking clients to …
messages that are imparted to individuals from expert hackers going for tricking clients to …
Intelligent phishing detection scheme using deep learning algorithms
Purpose Phishing attacks have evolved in recent years due to high-tech-enabled economic
growth worldwide. The rise in all types of fraud loss in 2019 has been attributed to the …
growth worldwide. The rise in all types of fraud loss in 2019 has been attributed to the …
Decision variants for the automatic determination of optimal feature subset in RF-RFE
Q Chen, Z Meng, X Liu, Q Jin, R Su - Genes, 2018 - mdpi.com
Feature selection, which identifies a set of most informative features from the original feature
space, has been widely used to simplify the predictor. Recursive feature elimination (RFE) …
space, has been widely used to simplify the predictor. Recursive feature elimination (RFE) …
A systematic review of social network sentiment analysis with comparative study of ensemble-based techniques
Sentiment Analysis (SA) of text reviews is an emerging concern in Natural Language
Processing (NLP). It is a broadly active method for analyzing and extracting opinions from …
Processing (NLP). It is a broadly active method for analyzing and extracting opinions from …
GramBeddings: a new neural network for URL based identification of phishing web pages through n-gram embeddings
There has been ever-growing use of Internet and progress within many communication
channels such as social media and this escalates the need for rapid and low source …
channels such as social media and this escalates the need for rapid and low source …