Proceedings of the 2023 European Symposium on Usable Security, 2023 Sarah Ying Zheng, Ingolf Becker
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Cyber-crime Science = Crime Science + Information Security [PDF]
, 2010 Cyber-crime Science is an emerging area of study aiming to prevent cyber-crime by combining security protection techniques from Information Security with empirical research methods used in Crime Science.
Hartel, Pieter +2 more
core +2 more sources
AI-Driven Phishing Detection: Enhancing Cybersecurity with Reinforcement Learning
Journal of Cybersecurity and PrivacyPhishing remains a persistent cybersecurity threat, often bypassing traditional detection methods due to evolving attack techniques. This study presents a Reinforcement Learning (RL)-based phishing detection framework, leveraging a Deep Q-Network (DQN ...
Haidar Jabbar, Samir Al-Janabi
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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
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
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Phish and HIPs: Human Interactive Proofs to Detect Phishing Attacks [PDF]
, 2005 In this paper, we propose a new class of Human Interactive Proofs (HIPs) that allow a human to distinguish one computer from another. Unlike traditional HIPs, where the computer issues a challenge to the user over a network, in this case, the user issues a challenge to the computer.
Rachna Dhamija, J. D. Tygar
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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
Text Data Augmentation: Towards better detection of spear-phishing emails [PDF]
, 2020 Mehdi Regina +2 more
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Improved Phishing Attack Detection with Machine Learning: A Comprehensive Evaluation of Classifiers and Features [PDF]
, 2023 Sibel Kapan, Efnan Şora Günal
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