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A survey of machine learning-based solutions for phishing website detection
With the development of the Internet, network security has aroused people's attention. It can
be said that a secure network environment is a basis for the rapid and sound development of …
be said that a secure network environment is a basis for the rapid and sound development of …
SoK: a comprehensive reexamination of phishing research from the security perspective
Phishing and spear phishing are typical examples of masquerade attacks since trust is built
up through impersonation for the attack to succeed. Given the prevalence of these attacks …
up through impersonation for the attack to succeed. Given the prevalence of these attacks …
A novel approach for phishing URLs detection using lexical based machine learning in a real-time environment
In recent times, we can see a massive increase in the number of devices that are being
connected to the internet. These devices include but are not limited to smartphones, IoT, and …
connected to the internet. These devices include but are not limited to smartphones, IoT, and …
A new hybrid ensemble feature selection framework for machine learning-based phishing detection system
This paper proposes a new feature selection framework for machine learning-based
phishing detection system, called the Hybrid Ensemble Feature Selection (HEFS). In the first …
phishing detection system, called the Hybrid Ensemble Feature Selection (HEFS). In the first …
A survey of phishing attack techniques, defence mechanisms and open research challenges
AK Jain, BB Gupta - Enterprise Information Systems, 2022 - Taylor & Francis
Phishing is an identity theft, which deceives Internet users into revealing their sensitive data,
eg, login information, credit/debit card details, and so on. Researchers have developed …
eg, login information, credit/debit card details, and so on. Researchers have developed …
Phishing or not phishing? A survey on the detection of phishing websites
Phishing is a security threat with serious effects on individuals as well as on the targeted
brands. Although this threat has been around for quite a long time, it is still very active and …
brands. Although this threat has been around for quite a long time, it is still very active and …
Detection of phishing websites using an efficient feature-based machine learning framework
Phishing is a cyber-attack which targets naive online users tricking into revealing sensitive
information such as username, password, social security number or credit card number etc …
information such as username, password, social security number or credit card number etc …
Towards detection of phishing websites on client-side using machine learning based approach
AK Jain, BB Gupta - Telecommunication Systems, 2018 - Springer
The existing anti-phishing approaches use the blacklist methods or features based machine
learning techniques. Blacklist methods fail to detect new phishing attacks and produce high …
learning techniques. Blacklist methods fail to detect new phishing attacks and produce high …
Phishing detection: analysis of visual similarity based approaches
AK Jain, BB Gupta - Security and Communication Networks, 2017 - Wiley Online Library
Phishing is one of the major problems faced by cyber‐world and leads to financial losses for
both industries and individuals. Detection of phishing attack with high accuracy has always …
both industries and individuals. Detection of phishing attack with high accuracy has always …
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 …