Phishing email detection using natural language processing techniques: a literature survey
Phishing is the most prevalent method of cybercrime that convinces people to provide
sensitive information; for instance, account IDs, passwords, and bank details. Emails, instant …
sensitive information; for instance, account IDs, passwords, and bank details. Emails, instant …
Phishing classification techniques: A systematic literature review
Phishing has become a serious and concerning problem within the past 10 years, with many
reviews describing attack patterns and anticipating different method utilizations. This …
reviews describing attack patterns and anticipating different method utilizations. This …
Helphed: Hybrid ensemble learning phishing email detection
P Bountakas, C Xenakis - Journal of network and computer applications, 2023 - Elsevier
Phishing email attack is a dominant cyber-criminal strategy for decades. Despite its
longevity, it has evolved during the COVID-19 pandemic, indicating that adversaries exploit …
longevity, it has evolved during the COVID-19 pandemic, indicating that adversaries exploit …
Phishing attacks detection using deep learning approach
In the COVID-19 pandemic, people are enforced to adopt 'work from home'policy. The
Internet has become an effective channel for social interactions nowadays. Peoples' …
Internet has become an effective channel for social interactions nowadays. Peoples' …
A comparison of natural language processing and machine learning methods for phishing email detection
P Bountakas, K Koutroumpouchos… - Proceedings of the 16th …, 2021 - dl.acm.org
Phishing is the most-used malicious attempt in which attackers, commonly via emails,
impersonate trusted persons or entities to obtain private information from a victim. Even …
impersonate trusted persons or entities to obtain private information from a victim. Even …
The answer is in the text: Multi-stage methods for phishing detection based on feature engineering
A phishing attack is a threat based on fraudulent communication, usually by e-mail, where
the cybercriminals, impersonating a trusted person or organization, try to lure and coax a …
the cybercriminals, impersonating a trusted person or organization, try to lure and coax a …
A numeric-based machine learning design for detecting organized retail fraud in digital marketplaces
Organized retail crime (ORC) is a significant issue for retailers, marketplace platforms, and
consumers. Its prevalence and influence have increased fast in lockstep with the expansion …
consumers. Its prevalence and influence have increased fast in lockstep with the expansion …
Phishing website detection from URLs using classical machine learning ANN model
Phishing is a serious form of online fraud made up of spoofed websites that attempt to gain
users' sensitive information by tricking them into believing that they are visiting a legitimate …
users' sensitive information by tricking them into believing that they are visiting a legitimate …
Tensor based framework for Distributed Denial of Service attack detection
JPA Maranhão, JPCL da Costa, E Javidi… - Journal of Network and …, 2021 - Elsevier
Abstract Distributed Denial of Service (DDoS) attacks are one of the most important security
threats, since multiple compromised systems perform massive attacks over a victim …
threats, since multiple compromised systems perform massive attacks over a victim …
[HTML][HTML] Balancing act: Tackling organized retail fraud on e-commerce platforms with imbalanced learning text models
As online shopping expands rapidly, so does the prevalence of fraud, resulting in significant
losses for retailers. According to the 2020 National Retail Federation (NRF) report …
losses for retailers. According to the 2020 National Retail Federation (NRF) report …