A Deep Learning-Based Innovative Technique for Phishing Detection in Modern Security with Uniform Resource Locators. [PDF]
Sensors (Basel), 2023 Aldakheel EA +4 more
europepmc +1 more source
Impact of detection accuracy rates on phishing email spikes: Towards more effective mitigation
Phishing is a common cyber-attack technique where a criminal pretending to be a trusted entity sends a message either soliciting assistance, or requesting bank or credit card details with promises that usually turn out to be a hoax.
Adewumi, Sunday Eric +1 more
core +1 more source
A Case-Based Reasoning Approach for Automatic Adaptation of Classifiers in Mobile Phishing Detection
Journal of Computer Networks and Communications, 2019 Currently, the smartphone contains lots of sensitive information. The increasing number of smartphone usage makes it more interesting for phishers. Existing phishing detection techniques are performed on their specific features with selected classifiers ...
San Kyaw Zaw, Sangsuree Vasupongayya
doaj +1 more source
Applications of deep learning for phishing detection: a systematic literature review. [PDF]
Knowl Inf Syst, 2022 Catal C +6 more
europepmc +1 more source
An intelligent cyber security phishing detection system using deep learning techniques. [PDF]
Cluster Comput, 2022 Mughaid A +5 more
europepmc +1 more source
The Phishing Email Suspicion Test (PEST) a lab-based task for evaluating the cognitive mechanisms of phishing detection. [PDF]
Behav Res Methods, 2021 Hakim ZM +9 more
europepmc +1 more source
Learning Not to Take the Bait: An Examination of Training Methods and Overlearning on Phishing Susceptibility [PDF]
, 2018 As phishing attacks become increasingly common and sophisticated, anti-phishing training must extend beyond teaching individuals about cues and rules associated with phishing.
Nguyen, Christopher
core
Indian Journal of Data MiningPhishing websites have emerged as a serious security risk. Phishing is the starting point for many cyberattacks that compromise the confidentiality, integrity, and availability of customer and business data. Decades of effort have gone into developing novel methods for automatically identifying phishing websites.
null Joshma K J, Vineetha Sankar P
openaire +2 more sources
samroberts58/Phishing-Website-Metadata-Analysis: Phishing Website Metadata Analysis
, 2018 <p>Data mining project intended to classify and predict geographical location based on other metadata available within a phishing website data set.</p> <p><a href="https://github.com/samroberts58/Phishing-Website-Metadata-Analysis ...
Samantha Roberts
core +1 more source
IEEE AccessPhishing remains a critical and evolving threat in the cybersecurity landscape, consistently exploiting human factors to bypass technical defenses. This paper proposes a dynamic phishing detection framework that integrates Artificial Intelligence (AI ...
Layan Aldhuwayhi, Arwa Alromih
doaj +1 more source