Deep learning for phishing detection: Taxonomy, current challenges and future directions
Phishing has become an increasing concern and captured the attention of end-users as well
as security experts. Existing phishing detection techniques still suffer from the deficiency in …
as security experts. Existing phishing detection techniques still suffer from the deficiency in …
Applications of deep learning for phishing detection: a systematic literature review
Phishing attacks aim to steal confidential information using sophisticated methods,
techniques, and tools such as phishing through content injection, social engineering, online …
techniques, and tools such as phishing through content injection, social engineering, online …
Classification of phishing attack solutions by employing deep learning techniques: A systematic literature review
Phishing is the technique by which the attacker tries to obtain confidential information from
the user, with the purpose of using it fraudulently. These days, three ways to mitigate such …
the user, with the purpose of using it fraudulently. These days, three ways to mitigate such …
Phishing webpage classification via deep learning-based algorithms: an empirical study
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 …
always been a topic of great interest. New technologies have been developed to improve …
CNN-Fusion: An effective and lightweight phishing detection method based on multi-variant ConvNet
Phishing scams are increasing as the technical skills and costs of phishing attacks diminish,
emphasizing the need for rapid, precise, and low-cost prevention measures. Based on a …
emphasizing the need for rapid, precise, and low-cost prevention measures. Based on a …
Fighting against phishing attacks: state of the art and future challenges
BB Gupta, A Tewari, AK Jain, DP Agrawal - Neural Computing and …, 2017 - Springer
In the last few years, phishing scams have rapidly grown posing huge threat to global
Internet security. Today, phishing attack is one of the most common and serious threats over …
Internet security. Today, phishing attack is one of the most common and serious threats over …
Phishing attacks detection using machine learning and deep learning models
Because of the fast expansion of internet users, phishing attacks have become a significant
menace where the attacker poses as a trusted entity in order to steal sensitive data, causing …
menace where the attacker poses as a trusted entity in order to steal sensitive data, causing …
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 …
An intelligent cyber security phishing detection system using deep learning techniques
Recently, phishing attacks have become one of the most prominent social engineering
attacks faced by public internet users, governments, and businesses. In response to this …
attacks faced by public internet users, governments, and businesses. In response to this …
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 …