[HTML][HTML] The applicability of a hybrid framework for automated phishing detection
Phishing attacks are a critical and escalating cybersecurity threat in the modern digital
landscape. As cybercriminals continually adapt their techniques, automated phishing …
landscape. As cybercriminals continually adapt their techniques, automated phishing …
A State-of-the-art Review on Phishing Website Detection Techniques
W Li, S Manickam, YW Chong, W Leng… - IEEE Access, 2024 - ieeexplore.ieee.org
Phishing attacks remain a significant cybersecurity threat, with phishing websites serving as
a primary tool for attackers to deceive users and steal sensitive information. The rapid …
a primary tool for attackers to deceive users and steal sensitive information. The rapid …
A novel method for bioinformatics analysis in gene expression profiling framework for personalized healthcare applications
In recent years, personalized health care has been propelled by patient-centric health plans
enabled by customized medical technologies made possible by scientific and technological …
enabled by customized medical technologies made possible by scientific and technological …
The Modeling and Detection of Attacks in Role-Based Self-Organized Decentralized Wireless Sensor Networks
A Meleshko, V Desnitsky - Telecom, 2024 - mdpi.com
This article discusses the modeling and detection of attacks in self-organizing decentralized
wireless sensor networks (WSNs) that can be applied to various critical scenarios in …
wireless sensor networks (WSNs) that can be applied to various critical scenarios in …
Can Features for Phishing URL Detection Be Trusted Across Diverse Datasets? A Case Study with Explainable AI
Phishing has been a prevalent cyber threat that manipulates users into revealing sensitive
private information through deceptive tactics, designed to masquerade as trustworthy …
private information through deceptive tactics, designed to masquerade as trustworthy …
Defending Against Digital Threats: Machine Learning Techniques for Cyber Persecution Detection
Cyber persecution has become a widespread problem on the social media. It has resulted in
omissions such as suicide and sadness. Content regulation on social media sites is …
omissions such as suicide and sadness. Content regulation on social media sites is …
Enhancing Online Safety: Phishing URL Detection Using Machine Learning and Explainable AI
BV Pavani, D Mahitha… - 2024 15th International …, 2024 - ieeexplore.ieee.org
With the rapid growth of the internet and online transactions, phishing attacks have become
a prevalent cyber threat. Deceptive URLs are frequently used in phishing attempts to trick …
a prevalent cyber threat. Deceptive URLs are frequently used in phishing attempts to trick …
Fake Social Media Profile Identification and Report Using Machine Learning
In the digital age, Online Social Networking platforms are integral to daily life, but they also
attract malicious bots that mimic human behaviour and pose cybersecurity threats. This …
attract malicious bots that mimic human behaviour and pose cybersecurity threats. This …
An Efficient Machine Learning Approach for Detecting Malwares in IoT Environment
In recent research it is observed that malwares in shared system have grown significantly
over the previous decade, inflicting significant financial losses to a variety of enterprises …
over the previous decade, inflicting significant financial losses to a variety of enterprises …
[PDF][PDF] Healthcare Intrusion Detection using Hybrid Correlation-based Feature Selection-Bat Optimization Algorithm with Convolutional Neural Network: A Hybrid …
Cloud computing is popular among users in various areas such as healthcare, banking, and
education due to its low-cost services alongside increased reliability and efficiency. But …
education due to its low-cost services alongside increased reliability and efficiency. But …