[HTML][HTML] Cybersecurity threats and their mitigation approaches using Machine Learning—A Review
Machine learning is of rising importance in cybersecurity. The primary objective of applying
machine learning in cybersecurity is to make the process of malware detection more …
machine learning in cybersecurity is to make the process of malware detection more …
Analysis of cyber security attacks and its solutions for the smart grid using machine learning and blockchain methods
Smart grids are rapidly replacing conventional networks on a worldwide scale. A smart grid
has drawbacks, just like any other novel technology. A smart grid cyberattack is one of the …
has drawbacks, just like any other novel technology. A smart grid cyberattack is one of the …
[HTML][HTML] Evaluation of machine learning algorithm on drinking water quality for better sustainability
S Kaddoura - Sustainability, 2022 - mdpi.com
Water has become intricately linked to the United Nations' sixteen sustainable development
goals. Access to clean drinking water is crucial for health, a fundamental human right, and a …
goals. Access to clean drinking water is crucial for health, a fundamental human right, and a …
Phishing email detection model using deep learning
S Atawneh, H Aljehani - Electronics, 2023 - mdpi.com
Email phishing is a widespread cyber threat that can result in the theft of sensitive
information and financial loss. It uses malicious emails to trick recipients into providing …
information and financial loss. It uses malicious emails to trick recipients into providing …
Lightweight URL-based phishing detection using natural language processing transformers for mobile devices
Hackers are increasingly launching phishing attacks via SMS and social media. Games and
dating apps introduce yet another attack vector. However, current deep learning-based …
dating apps introduce yet another attack vector. However, current deep learning-based …
Supervised term-category feature weighting for improved text classification
Text classification is a central task in Natural Language Processing (NLP) that aims at
categorizing text documents into predefined classes or categories. It requires appropriate …
categorizing text documents into predefined classes or categories. It requires appropriate …
Double-layer detection of internal threat in enterprise systems based on deep learning
In recent years, phishing email-mediated attacks are proliferating. When victims are
enterprise employees, internal security of the enterprise systems will also be threatened …
enterprise employees, internal security of the enterprise systems will also be threatened …
Arabic spam tweets classification using deep learning
With the increased use of social network sites, such as Twitter, attackers exploit these
platforms to spread counterfeit content. Such content can be fake advertisements or illegal …
platforms to spread counterfeit content. Such content can be fake advertisements or illegal …
[HTML][HTML] A hybrid NLP and domain validation technique for disposable email detection
R Alanazi, S Alanazi - Alexandria Engineering Journal, 2024 - Elsevier
Disposable email address services have gained popularity recently, offering users a way to
register for online services without revealing their primary email. However, this poses …
register for online services without revealing their primary email. However, this poses …
A new english/arabic parallel corpus for phishing emails
Phishing involves malicious activity whereby phishers, in the disguise of legitimate entities,
obtain illegitimate access to the victims' personal and private information, usually through …
obtain illegitimate access to the victims' personal and private information, usually through …