[HTML][HTML] Mitigation strategies against the phishing attacks: A systematic literature review

B Naqvi, K Perova, A Farooq, I Makhdoom… - Computers & …, 2023 - Elsevier
Phishing attacks are among the most prevalent attack mechanisms employed by attackers.
The consequences of successful phishing include (and are not limited to) financial losses …

The effectiveness of zero-day attacks data samples generated via GANs on deep learning classifiers

N Peppes, T Alexakis, E Adamopoulou, K Demestichas - Sensors, 2023 - mdpi.com
Digitization of most of the services that people use in their everyday life has, among others,
led to increased needs for cybersecurity. As digital tools increase day by day and new …

Creating guidelines and best practices against phishing and ransomware attacks for healthcare personnel

K Perova - 2022 - lutpub.lut.fi
Amidst the digitalization of services across all sectors, it is essential to stay up to date with
the protection mechanisms to be able to protect the systems and services against a …

Navigating Data Imbalances in Cybersecurity: Identifying Malicious URLs with Multiple Labels and Extreme Data Imbalances with LGNet

A Zhu, Y Huang, X Lai - International Conference on Pattern Recognition, 2025 - Springer
Malicious URLs are a form of cyberattack, that manipulates individuals into disclosing
sensitive information. Typically, Malicious URLs constitute a minor proportion of all …

Detection and Mitigation of Email Phishing

K Mishra, T Banerjee, D Roy Chowdhury - International Conference on …, 2024 - Springer
Phishing attacks exploit human vulnerabilities to breach security defenses by either stealing
a victim's credentials or by luring a victim to give away their security details. These attacks …

AI for Cybersecurity: from Adversarial Anomaly Detection to Intelligent Network Security Systems

F Bergadano, I Drago - AI per Cybersecurity, 2022 - iris.unito.it
The speed in which attacks appear and propagate requires efficient cyber protections. New
attacks are mounted with the support of modern Machine Learning (ML) and AI algorithms …

Automatic web crawler for malicious websites classification

A Brunstein - 2024 - webthesis.biblio.polito.it
This thesis proposes the usage of a proactive Web Crawler to fight against cybercrimes,
specially phishing and cybersquatting. According to the FBI, more than 300,000 citizens of …