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An Optimized Stacking Ensemble Model for Phishing Websites Detection [PDF]

open access: yesElectronics (Switzerland), 2021
Security attacks on legitimate websites to steal users’ information, known as phishing attacks, have been increasing. This kind of attack does not just affect individuals’ or organisations’ websites.
Zeyad Ghaleb Al-Mekhlafi   +2 more
exaly   +2 more sources

Phishing Website Detection

2023
Phishing is a common attack on credulous people by making them to disclose their unique information using counterfeit websites. The objective of phishing website URLs is to purloin the personal information like user name, passwords and online banking transactions.
Vinod, M   +2 more
openaire   +1 more source

A literature survey on anti-phishing in websites

Proceedings of the 4th International Conference on Networking, Information Systems & Security, 2021
Abstract. Phishing and fraud sites have been widespread on the internet in recent times, which's become a source of great concern and a serious cybersecurity problem, as internet fraudsters target sensitive data and personal information of users, especially the username and password. Numerous approaches have been proposed and used to prevent and reduce
Rania Zaimi   +2 more
openaire   +1 more source

Detection of Phishing Websites

2023
Phishing attacks are one of the biggest security threats to personal and financial information on the internet. They are a type of cyber-attack where attackers pretend to be a trusted entity in order to trick people into revealing sensitive information, such as passwords and credit card numbers.
Lakshmipathi Gejjala   +3 more
openaire   +1 more source

Fresh-Phish: A Framework for Auto-Detection of Phishing Websites

2017 IEEE International Conference on Information Reuse and Integration (IRI), 2017
Denizens of the Internet are coming under a barrage of phishing attacks of increasing frequency and sophistication. Emails accompanied by authentic looking websites are ensnaring users who, unwittingly, hand over their credentials compromising both their privacy and security.
Hossein Shirazi   +2 more
openaire   +1 more source

Prediction of Phishing Websites Using AI Techniques

International Journal of Information Security and Privacy, 2022
The increase of internet usage in recent times has been a noticeable change in this generation. Users from all over the world use social sites to interact across the world. Countless websites are present today. With countless networks and sites, some people or companies tend to create new ways to lure out the random users using the web, such as ...
H. L. Gururaj   +6 more
openaire   +1 more source

A New Email Phishing Training Website

2020 13th International Conference on Developments in eSystems Engineering (DeSE), 2020
In this paper, we have provided an interactive email phishing training website to complete the presented security strategy for a Qatar organisation based on targeted email phishing which is Email Phishing Training. The problem that leads users to be hacked using phishing emails is a lack of awareness on the domain senders.
Yousef Al-Hamar, Hoshang Kolivand
openaire   +2 more sources

An Approach to the Implementation of the Anti-Phishing Tool for Phishing Websites Detection

2009 International Conference on Intelligent Networking and Collaborative Systems, 2009
Phishing attacks have become a serious problem for users of online banking and e-commerce websites. A previous study proposed and evaluated a novel anti-Phishing approach that uses training intervention for Phishing websites detection (APTIPWD). The proposed approach showed that it helped users to make correct decisions in distinguishing Phishing and ...
Abdullah M. Alnajim, Malcolm Munro
openaire   +2 more sources

Utilisation of website logo for phishing detection

Computers & Security, 2015
Phishing is a security threat which combines social engineering and website spoofing techniques to deceive users into revealing confidential information. In this paper, we propose a phishing detection method to protect Internet users from the phishing attacks.
Kang-Leng Chiew   +3 more
openaire   +2 more sources

On Feature Selection for the Prediction of Phishing Websites

2017 IEEE 15th Intl Conf on Dependable, Autonomic and Secure Computing, 15th Intl Conf on Pervasive Intelligence and Computing, 3rd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech), 2017
with the rise of the big data paradigm, large data sets are being made available for knowledge mining. While this open up possibilities for new insights being gained every day, it also exposes data consumers to an increase in low quality, unreliable, redundant or noisy portions of the data.
Wesam Fadheel   +2 more
openaire   +2 more sources

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