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 …

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 …

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 …

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 …

Combining long-term recurrent convolutional and graph convolutional networks to detect phishing sites using URL and HTML

S Ariyadasa, S Fernando, S Fernando - IEEE Access, 2022 - ieeexplore.ieee.org
Phishing, a well-known cyber-attack practice has gained significant research attention in the
cyber-security domain for the last two decades due to its dynamic attacking strategies …

Learning-based models to detect runtime phishing activities using URLs

SS Sirigineedi, J Soni, H Upadhyay - Proceedings of the 2020 4th …, 2020 - dl.acm.org
Phishing websites are fraudulent sites that impersonate a trusted party to gain access to
sensitive information of an individual person or organization. Traditionally, phishing website …

Phishpedia: A hybrid deep learning based approach to visually identify phishing webpages

Y Lin, R Liu, DM Divakaran, JY Ng, QZ Chan… - 30th USENIX Security …, 2021 - usenix.org
Recent years have seen the development of phishing detection and identification
approaches to defend against phishing attacks. Phishing detection solutions often report …

Phishing URL detection via capsule-based neural network

Y Huang, J Qin, W Wen - 2019 IEEE 13th International …, 2019 - ieeexplore.ieee.org
As a cyber attack which leverages social engineering and other sophisticated techniques to
steal sensitive information from users, phishing attack has been a critical threat to cyber …

Phishing webpage classification via deep learning-based algorithms: an empirical study

NQ Do, A Selamat, O Krejcar, T Yokoi, H Fujita - Applied Sciences, 2021 - mdpi.com
Phishing detection with high-performance accuracy and low computational complexity has
always been a topic of great interest. New technologies have been developed to improve …

Efficient deep learning techniques for the detection of phishing websites

M Somesha, AR Pais, RS Rao, VS Rathour - Sādhanā, 2020 - Springer
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 …