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A Case-Based Reasoning Approach for Automatic Adaptation of Classifiers in Mobile Phishing Detection
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]
Catal C +6 more
europepmc +1 more source
An intelligent cyber security phishing detection system using deep learning techniques. [PDF]
Mughaid A +5 more
europepmc +1 more source
Improved Phishing Attack Detection with Machine Learning: A Comprehensive Evaluation of Classifiers and Features [PDF]
Sibel Kapan, Efnan Şora Günal
openalex +1 more source
The Phishing Email Suspicion Test (PEST) a lab-based task for evaluating the cognitive mechanisms of phishing detection. [PDF]
Hakim ZM +9 more
europepmc +1 more source
Phishing Scam Detection on Ethereum: Towards Financial Security for Blockchain Ecosystem [PDF]
Weili Chen +4 more
openalex +1 more source
The rapid digitization of financial service companies and organizations has heightened concerns over data security, particularly regarding unauthorized access to personal, financial, and password information.
Mehraj Ibne Halim +6 more
doaj +1 more source
Towards a Multi-Layered Phishing Detection. [PDF]
Rendall K, Nisioti A, Mylonas A.
europepmc +1 more source
Sarah Ying Zheng, Ingolf Becker
openaire +1 more source

