A review of phishing attacks and countermeasures for internet of things‐based smart business applications in industry 4.0
Due to the advancement in industry 4.0, cybercrimes in internet‐based business
applications are rapidly increasing. To encounter such attacks, the intruders use various …
applications are rapidly increasing. To encounter such attacks, the intruders use various …
A survey on machine learning techniques for cyber security in the last decade
Pervasive growth and usage of the Internet and mobile applications have expanded
cyberspace. The cyberspace has become more vulnerable to automated and prolonged …
cyberspace. The cyberspace has become more vulnerable to automated and prolonged …
Urldeepdetect: A deep learning approach for detecting malicious urls using semantic vector models
Abstract Malicious Uniform Resource Locators (URLs) embedded in emails or Twitter posts
have been used as weapons for luring susceptible Internet users into executing malicious …
have been used as weapons for luring susceptible Internet users into executing malicious …
[HTML][HTML] Phishing URLs detection using sequential and parallel ML techniques: comparative analysis
In today's digitalized era, the world wide web services are a vital aspect of each individual's
daily life and are accessible to the users via uniform resource locators (URLs) …
daily life and are accessible to the users via uniform resource locators (URLs) …
Phishing Website URL's Detection Using NLP and Machine Learning Techniques
Phishing websites present a severe cybersecurity risk since they can lead to financial
losses, data breaches, and user privacy violations. This study uses machine learning …
losses, data breaches, and user privacy violations. This study uses machine learning …
Highly accurate phishing URL detection based on machine learning
S Jalil, M Usman, A Fong - Journal of Ambient Intelligence and Humanized …, 2023 - Springer
Phishing is a persistent and major threat on the internet that is growing steadily and
dangerously. It is a type of cyber-attack, in which phisher mimics a legitimate website page …
dangerously. It is a type of cyber-attack, in which phisher mimics a legitimate website page …
Phishing website detection based on machine learning: A survey
C Singh - 2020 6th International Conference on Advanced …, 2020 - ieeexplore.ieee.org
Phishing attacks are cybercrime in today's world which are done by social engineering and
malware based. It is one of the most dangerous threats that every individuals and …
malware based. It is one of the most dangerous threats that every individuals and …
Efficient detection of phishing websites using multilayer perceptron
Phishing is a type of Internet fraud that aims to acquire the credential of users via scamming
websites. In this paper, a novel approach is utilized that uses a Neural Network with a …
websites. In this paper, a novel approach is utilized that uses a Neural Network with a …
SI-BBA–A novel phishing website detection based on Swarm intelligence with deep learning
PP Kumar, T Jaya, V Rajendran - Materials Today: Proceedings, 2023 - Elsevier
Websites phishing is one of several defense coercions to Internet Service Provider. Mainly
web phishing focused on stealing private information such as username, password, and …
web phishing focused on stealing private information such as username, password, and …
Phishing website detection using novel machine learning fusion approach
A Lakshmanarao, PSP Rao… - … conference on artificial …, 2021 - ieeexplore.ieee.org
The Phishing is a sort of social designing assault regularly used to take client information,
including login accreditations and credit card numbers. With the enhancements in internet …
including login accreditations and credit card numbers. With the enhancements in internet …