When detecting phishing websites, both humans and computers rely on aspects of the
website (features) to aid in their decision making. In this work, we conduct a review of URL …

This paper proposes a bidirectional LSTM algorithm (CBIR) based on convolutional neural
network and independent recurrent neural network. The algorithm extracts the “texture …

The large branches of Machine Learning represent an immense support for the detection of
malicious websites, they can predict whether a URL is malicious or benign, leaving aside …

Phishing is the major problem of the internet era. In this era of internet the security of our
data in web is gaining an increasing importance. Phishing is one of the most harmful ways to …

Over the years in social engineering, phishing URLs became a significant threat for internet
users as most cyber-crime or attacks redirect to individual target users by sending a …

The Internet has enabled unprecedented communication and new technologies.
Concomitantly, it has brought the bane of phishing and exacerbated vulnerabilities. In this …

钓鱼检测方式一般只是通过比较网页间特征的相似度判断钓鱼网站, 容易被攻击者根据特征提取
过程反检测. 因此, 提出依据网页之间的关系来检测钓鱼网站, 通过设立网页集合 …

At present, phishing websites are growing, and there are fewer researches on detection of
phishing websites. Most of the research is based on the traditional single algorithm model …

A convolutional neural network combined with attention mechanism and a parallel joint
algorithm model (CATTB) of bidirectional independent recurrent neural network are …

Password authentication is commonly used to authenticate the user in web-based services
such as internet banking due to its simplicity and convenience. Many users have multiple …