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Optimizing Anti-Phishing Solutions Based on User Awareness, Education and the Use of the Latest Web Security Solutions [PDF]

Phishing has grown significantly in volume over the time, becoming the most usual web threat today. The present economic crisis is an added argument for the great increase in number of attempts to cheat internet users, both businesses and private ones ...
Alexandru TABUSCA, Ion LUNGU
core  

Detection of phishing attacks using the anti-phishing framework

Scientific Bulletin of Naval Academy, 2020
. In the area of computer security, phishing is a form of criminal activity that involves obtaining sensitive data, such as access data for banking applications, e-commerce applications (such as eBay or PayPal) or credit card information, using techniques to manipulate the identity data of a person or institution.
openaire   +1 more source

An application for predicting phishing attacks: A case of implementing a support vector machine learning model

Cyber Security and Applications
The imminent threat that phishing websites poses is a major concern for internet users worldwide. These fraudulent websites are crafted by cyber attackers to appear trustworthy and deceive vulnerable users into divulging confidential data like medical ...
Emmanuel Song Shombot, Gilles Dusserre, Robert Bestak, Nasir Baba Ahmed   +3 more
doaj   +1 more source

Towards a Hybrid Security Framework for Phishing Awareness Education and Defense

Future Internet
The rise in generative Artificial Intelligence (AI) has led to the development of more sophisticated phishing email attacks, as well as an increase in research on using AI to aid the detection of these advanced attacks.
Peter K. K. Loh, Aloysius Z. Y. Lee, Vivek Balachandran   +2 more
doaj   +1 more source

Phishing Attacks: Detection And Prevention

, 2020
5 pages, 7 figures, 1 table, essential ...
openaire   +2 more sources

Phish Fighter: Self Updating Machine Learning Shield Against Phishing Kits Based on HTML Code Analysis

IEEE Access
Phishing attacks are a growing threat that has evolved along with technological advancements. Existing detection methods struggle with constantly evolving tactics and “zero-day” attacks that exploit unknown vulnerabilities.
Gabriela Brezeanu, Alexandru Archip, Codrut-Georgian Artene   +2 more
doaj   +1 more source

Fishing for phishy messages: predicting phishing susceptibility through the lens of cyber-routine activities theory and heuristic-systematic model

Humanities & Social Sciences Communications
Mobile phishing has emerged as one of the most severe cybercrime threats; thus, research must examine the factors affecting people’s likelihood of becoming instant messaging phishing targets.
Chin Lay Gan, Yi Yong Lee, Tze Wei Liew
doaj   +1 more source

Deep Learning Approaches for Multi-Class Classification of Phishing Text Messages

Journal of Cybersecurity and Privacy
Phishing attacks, particularly Smishing (SMS phishing), have become a major cybersecurity threat, with attackers using social engineering tactics to take advantage of human vulnerabilities.
Miriam L. Munoz, Muhammad F. Islam
doaj   +1 more source

Protection Mechanisms Against Phishing Attacks

, 2005
Approaches against Phishing can be classified into modifications of the traditional PIN/TAN-authentication on the one hand and approaches that try to reduce the probability of a scammer being successful without changing the existing PIN/TAN-method on the other hand. We present a new approach, based on challenge-response-authentication.
Plössl, Klaus, Federrath, Hannes, Nowey, Thomas   +2 more
openaire   +2 more sources

Application of Machine Learning for Real-Time Phishing Attack Detection

ITEGAM-JETIA
Over the years, the Internet has been exploited to carry out a range of cyber attacks, with phishing being the most prominent one. Increasingly sophisticated techniques of phishing have threatened the security of many Internet-based systems.
Akshay Shankar Agrawal, Sanketi Raut, Andrina Dsouza, Jimit Mehta, Prajwal Naik   +4 more
doaj   +1 more source