Deep learning with convolutional neural network and long short-term memory for phishing detection
MA Adebowale, KT Lwin… - 2019 13th International …, 2019 - ieeexplore.ieee.org
Phishers sometimes exploit users' trust of a known website's appearance by using a similar
page that looks like the legitimate site. In recent times, researchers have tried to identify and …
page that looks like the legitimate site. In recent times, researchers have tried to identify and …
High accuracy phishing detection based on convolutional neural networks
SY Yerima, MK Alzaylaee - 2020 3rd International Conference …, 2020 - ieeexplore.ieee.org
The persistent growth in phishing and the rising volume of phishing websites has led to
individuals and organizations worldwide becoming increasingly exposed to various cyber …
individuals and organizations worldwide becoming increasingly exposed to various cyber …
A deep learning-based phishing detection system using CNN, LSTM, and LSTM-CNN
Z Alshingiti, R Alaqel, J Al-Muhtadi, QEU Haq… - Electronics, 2023 - mdpi.com
In terms of the Internet and communication, security is the fundamental challenging aspect.
There are numerous ways to harm the security of internet users; the most common is …
There are numerous ways to harm the security of internet users; the most common is …
A Deep learning-based innovative technique for phishing detection in modern security with uniform resource locators
EA Aldakheel, M Zakariah, GA Gashgari, FA Almarshad… - Sensors, 2023 - mdpi.com
Organizations and individuals worldwide are becoming increasingly vulnerable to
cyberattacks as phishing continues to grow and the number of phishing websites grows. As …
cyberattacks as phishing continues to grow and the number of phishing websites grows. As …
Intelligent phishing detection scheme using deep learning algorithms
Purpose Phishing attacks have evolved in recent years due to high-tech-enabled economic
growth worldwide. The rise in all types of fraud loss in 2019 has been attributed to the …
growth worldwide. The rise in all types of fraud loss in 2019 has been attributed to the …
Phishing detection using machine learning technique
Today, everyone is highly dependent on the internet. Everyone performed online shopping
and online activities such as online Bank, online booking, online recharge and more on …
and online activities such as online Bank, online booking, online recharge and more on …
Phishing website detection based on deep convolutional neural network and random forest ensemble learning
R Yang, K Zheng, B Wu, C Wu, X Wang - Sensors, 2021 - mdpi.com
Phishing has become one of the biggest and most effective cyber threats, causing hundreds
of millions of dollars in losses and millions of data breaches every year. Currently, anti …
of millions of dollars in losses and millions of data breaches every year. Currently, anti …
Phishing website detection: How effective are deep learning‐based models and hyperparameter optimization?
Phishing websites are fraudulent websites that appear legitimate and trick unsuspecting
users into interacting with them, stealing their valuable information. Because phishing …
users into interacting with them, stealing their valuable information. Because phishing …
[PDF][PDF] Real-time phishing detection using deep learning methods by extensions
Phishing is an attack method that relies on a user's insufficient vigilance and understanding
of the internet. For example, an attacker creates an online transaction website and tricks …
of the internet. For example, an attacker creates an online transaction website and tricks …
Efficient deep learning techniques for the detection of phishing websites
Phishing is a fraudulent practice and a form of cyber-attack designed and executed with the
sole purpose of gathering sensitive information by masquerading the genuine websites …
sole purpose of gathering sensitive information by masquerading the genuine websites …