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Advancing cybersecurity: a comprehensive review of AI-driven detection techniques
As the number and cleverness of cyber-attacks keep increasing rapidly, it's more important
than ever to have good ways to detect and prevent them. Recognizing cyber threats quickly …
than ever to have good ways to detect and prevent them. Recognizing cyber threats quickly …
[HTML][HTML] Mutual information based logistic regression for phishing URL detection
V Vajrobol, BB Gupta, A Gaurav - Cyber Security and Applications, 2024 - Elsevier
Phishing is a cybersecurity problem that hackers employ to deceive individuals and
organizations. Phishing is dynamic in nature; the hackers change several tricks to deceive …
organizations. Phishing is dynamic in nature; the hackers change several tricks to deceive …
A novel multiagent collaborative learning architecture for automatic recognition of mudstone rock facies
Recognizing mud rock lithofacies is essential for map** the subsurface depositional
environments and identifying oil and gas-bearing rock formations. Conventional well logs …
environments and identifying oil and gas-bearing rock formations. Conventional well logs …
An ensemble learning approach for detecting phishing URLs in encrypted TLS traffic
Phishing is a fraudulent method used by hackers to acquire confidential data from victims,
including security passwords, bank account details, debit card data, and other sensitive …
including security passwords, bank account details, debit card data, and other sensitive …
[HTML][HTML] Phishing Webpage Detection via Multi-Modal Integration of HTML DOM Graphs and URL Features Based on Graph Convolutional and Transformer Networks
JH Yoon, SJ Buu, HJ Kim - Electronics, 2024 - mdpi.com
Detecting phishing webpages is a critical task in the field of cybersecurity, with significant
implications for online safety and data protection. Traditional methods have primarily relied …
implications for online safety and data protection. Traditional methods have primarily relied …
SENTINEY: Securing ENcrypted mulTI-party computatIoN for Enhanced data privacY and phishing detection
Phishing attacks have recently become a real danger that threatens the security of sensitive
data. This research paper presents a new approach based on Secure Multi-Party …
data. This research paper presents a new approach based on Secure Multi-Party …
[PDF][PDF] A machine learning algorithms for detecting phishing websites: A comparative study
MA Taha, HDA Jabar - Iraqi Journal for Computer Science and …, 2024 - iasj.net
Phishing website attacks are a type of cyber-attack in which perpetrators create fraudulent
websites that mimic legitimate platforms, such as online banking or social media, with the …
websites that mimic legitimate platforms, such as online banking or social media, with the …
Transfer learning with ResNet50 for malicious domains classification using image visualization
The Internet has become a vital part of our daily lives, serving as a hub for global
connectivity and a facilitator for seamless communication and information exchange …
connectivity and a facilitator for seamless communication and information exchange …
DomURLs_BERT: Pre-trained BERT-based Model for Malicious Domains and URLs Detection and Classification
Detecting and classifying suspicious or malicious domain names and URLs is fundamental
task in cybersecurity. To leverage such indicators of compromise, cybersecurity vendors and …
task in cybersecurity. To leverage such indicators of compromise, cybersecurity vendors and …
LLMs are one-shot URL classifiers and explainers
Malicious URL classification represents a crucial aspect of cybersecurity. Although existing
work comprises numerous machine learning and deep learning-based URL classification …
work comprises numerous machine learning and deep learning-based URL classification …