On the public citation graph
Experimental Investigation of Technical and Human Factors Related to Phishing Susceptibility
0 signed · 82 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/sim.2168openalex-snapshot
Careful use of pseudoR-squared measures in epidemiological studies
inferredcites →https://doi.org/10.1007/978-3-319-70278-0_39openalex-snapshot
Unpacking Spear Phishing Susceptibility
inferredcites →https://doi.org/10.1016/j.dss.2011.03.002openalex-snapshot
Why do people get phished? Testing individual differences in phishing vulnerability within an integrated, information processing model
inferredcites →https://doi.org/10.1016/j.procs.2019.05.090openalex-snapshot
Design and Implementation of a Comprehensive Insider Threat Ontology
inferredcites →https://doi.org/10.1016/s1361-3723(07)70035-0openalex-snapshot
Phishing: can we spot the signs?
inferredcites →https://doi.org/10.1037//0021-9010.73.4.688openalex-snapshot
Correction for variance restriction in point-biserial correlations.
inferredcites →https://doi.org/10.1037/1040-3590.18.2.192openalex-snapshot
The Mini-IPIP Scales: Tiny-yet-effective measures of the Big Five Factors of Personality.
inferredcites →https://doi.org/10.1080/01611194.2019.1623343openalex-snapshot
Phishing in an academic community: A study of user susceptibility and behavior
inferredcites →https://doi.org/10.1080/03610911003650383openalex-snapshot
How Big is a Big Odds Ratio? Interpreting the Magnitudes of Odds Ratios in Epidemiological Studies
inferredcites →https://doi.org/10.1086/593303openalex-snapshot
Stepwise Model Fitting and Statistical Inference: Turning Noise into Signal Pollution
inferredcites →https://doi.org/10.1109/emr.2019.2914612openalex-snapshot
Positioning Your Organization to Respond to Insider Threats
inferredcites →https://doi.org/10.1109/hicss.2014.256openalex-snapshot
Unintentional Insider Threat: Contributing Factors, Observables, and Mitigation Strategies
inferredcites →https://doi.org/10.1109/innovations.2012.6207742openalex-snapshot
Phishing in a university community: Two large scale phishing experiments
inferredcites →https://doi.org/10.1109/msp.2013.106openalex-snapshot
Going Spear Phishing: Exploring Embedded Training and Awareness
inferredcites →https://doi.org/10.1109/spw.2014.39openalex-snapshot
Analysis of Unintentional Insider Threats Deriving from Social Engineering Exploits
inferredcites →https://doi.org/10.1109/tac.1974.1100705openalex-snapshot
A new look at the statistical model identification
inferredcites →https://doi.org/10.1145/1143120.1143131openalex-snapshot
Decision strategies and susceptibility to phishing
inferredcites →https://doi.org/10.1145/3025453.3025831openalex-snapshot
Dissecting Spear Phishing Emails for Older vs Young Adults
inferredcites →https://doi.org/10.1145/3313831.3376570openalex-snapshot
Examining the Adoption and Abandonment of Security, Privacy, and Identity Theft Protection Practices
inferredcites →https://doi.org/10.1145/3336141openalex-snapshot
Susceptibility to Spear-Phishing Emails
inferredcites →https://doi.org/10.1146/annurev.ps.41.020190.002221openalex-snapshot
Personality Structure: Emergence of the Five-Factor Model
inferredcites →https://doi.org/10.1177/2158244021990656openalex-snapshot
Phishing for Long Tails: Examining Organizational Repeat Clickers and Protective Stewards
inferredcites →https://doi.org/10.1186/s13673-020-00237-7openalex-snapshot
Don’t click: towards an effective anti-phishing training. A comparative literature review
inferredcites →https://doi.org/10.14722/usec.2018.23016openalex-snapshot
User Context: An Explanatory Variable in Phishing Susceptibility
inferredcites →https://doi.org/10.2307/249688openalex-snapshot
Computer Self-Efficacy: Development of a Measure and Initial Test
inferredcites →https://doi.org/10.4018/ijcbpl.2015100101openalex-snapshot
Will the “Phisher-Men” Reel You In?
inferredcites →https://doi.org/10.4225/75/57a80e47aa0cbopenalex-snapshot
Assessing end-user awareness of social engineering and phishing
inferredcites →https://doi.org/10.5555/1345501.1345514openalex-snapshot
Wisecrackers: A theory-grounded investigation of phishing and pretext social engineering threats to information security
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/acp.4075openalex-snapshot
Which phish is captured in the net? Understanding phishing susceptibility and individual differences
inferred← citeshttps://doi.org/10.1007/978-3-031-54776-8_15openalex-snapshot
How Users Investigate Phishing Emails that Lack Traditional Phishing Cues
inferred← citeshttps://doi.org/10.1007/978-3-031-75764-8_13openalex-snapshot
We have Phishing at Home: Quantitative Study on Email Phishing Susceptibility in Private Contexts
inferred← citeshttps://doi.org/10.1007/978-3-031-79007-2_14openalex-snapshot
The Dual-Edged Sword of Large Language Models in Phishing
inferred← citeshttps://doi.org/10.1007/978-981-96-2417-1_9openalex-snapshot
Characterizing the Evolution of Psychological Factors Exploited by Malicious Emails
inferred← citeshttps://doi.org/10.1016/j.chbr.2025.100784openalex-snapshot
Phishing vulnerability and personality traits: Insights from a systematic review
inferred← citeshttps://doi.org/10.1016/j.cose.2024.103940openalex-snapshot
Effects of visual risk indicators on phishing detection behavior: An eye-tracking experiment
inferred← citeshttps://doi.org/10.1016/j.heliyon.2025.e44012openalex-snapshot
The key factors that influence employees’ awareness of social engineering: A systematic literature review
inferred← citeshttps://doi.org/10.1016/j.im.2023.103858openalex-snapshot
Unraveling the behavioral influence of social media on phishing susceptibility: A Personality-Habit-Information Processing model
inferred← citeshttps://doi.org/10.1016/j.im.2023.103877openalex-snapshot
VISTA: An inclusive insider threat taxonomy, with mitigation strategies
inferred← citeshttps://doi.org/10.1080/08874417.2026.2655170openalex-snapshot
Enhancing Human Resilience to AI-Driven Social Engineering
inferred← citeshttps://doi.org/10.1080/10447318.2024.2415750openalex-snapshot
Beyond Technical Barriers: A Multidimensional Conceptual Framework for Understanding and Countering Cyber Scam Susceptibility
inferred← citeshttps://doi.org/10.1093/geronb/gbag090openalex-snapshot
Decomposing trust-related decision making: dimensionality and predictability of phishing susceptibility in an adult lifespan sample
inferred← citeshttps://doi.org/10.1108/ics-10-2025-0439openalex-snapshot
Behavioral influences on cybersecurity decisions in phishing scenarios: a systematic review
inferred← citeshttps://doi.org/10.1109/access.2025.3615788openalex-snapshot
Securing the Weakest Link: Exploring Affective States Exploited in Phishing Emails With Large Language Models
inferred← citeshttps://doi.org/10.1109/aero58975.2024.10521144openalex-snapshot
Explainable Deep Reinforcement Learning for Space Situational Awareness: Counterfactual Explanation Approach
inferred← citeshttps://doi.org/10.1109/aero58975.2024.10521387openalex-snapshot
CASAD-GPS: Causal Shapley Additive Explanation for GPS Spoofing Attacks Detection
inferred← citeshttps://doi.org/10.1109/csce60160.2023.00105openalex-snapshot
Human and Cognitive Factors involved in Phishing Detection. A Literature Review
inferred← citeshttps://doi.org/10.1109/dsaa61799.2024.10722801openalex-snapshot
Towards Personalized Anti-Phishing: Counterfactual Explanation Approach - Extended Abstract
inferred← citeshttps://doi.org/10.1109/icns60906.2024.10550825openalex-snapshot
TADAD: Trust AI-based Decentralized Anomaly Detection for Urban Air Mobility Networks at Tactical Edges
inferred← citeshttps://doi.org/10.1109/isi53945.2021.9624738openalex-snapshot
Verbal Deception Cue Training for the Detection of Phishing Emails
inferred← citeshttps://doi.org/10.1109/sin63213.2024.10871376openalex-snapshot
Enhancing Phishing Resilience in Academia: The Mediating Role of Anti-Phishing Tools on Student Awareness and Behavior
inferred← citeshttps://doi.org/10.1145/3543873.3587636openalex-snapshot
Text Mining-based Social-Psychological Vulnerability Analysis of Potential Victims To Cybergrooming: Insights and Lessons Learned
inferred← citeshttps://doi.org/10.1145/3544548.3581170openalex-snapshot
The Influence of Context on Response to Spear-Phishing Attacks: an In-Situ Deception Study
inferred← citeshttps://doi.org/10.1145/3549015.3554172openalex-snapshot
Phishing with Malicious QR Codes
inferred← citeshttps://doi.org/10.1145/3575797openalex-snapshot
SoK: Human-centered Phishing Susceptibility
inferred← citeshttps://doi.org/10.1145/3613904.3641943openalex-snapshot
The Effects of Group Discussion and Role-playing Training on Self-efficacy, Support-seeking, and Reporting Phishing Emails: Evidence from a Mixed-design Experiment
inferred← citeshttps://doi.org/10.1145/3658644.3690212openalex-snapshot
Employees' Attitudes towards Phishing Simulations: "It's like when a child reaches onto the hot hob"
inferred← citeshttps://doi.org/10.1145/3716489.3728437openalex-snapshot
Evaluating Phishing Email Efficacy
inferred← citeshttps://doi.org/10.1145/3772318.3791003openalex-snapshot
Experiencer, Helper, or Observer: Online Fraud Intervention for Older Adults Through a Role-based Simulation Approach
inferred← citeshttps://doi.org/10.1145/3772318.3791490openalex-snapshot
Lending a Hand: The Effectiveness of Support Systems in Assisting Users to Detect Phishing Attacks
inferred← citeshttps://doi.org/10.1145/3774904.3792467openalex-snapshot
Anti-Phishing Training (Still) Does Not Work: A Reproduction of Phishing Training Inefficacy Grounded in the NIST Phish Scale
inferred← citeshttps://doi.org/10.1145/3799891openalex-snapshot
AI-Generated Phishing: Combining Human Behavior with Post Content to Assess Susceptibility
inferred← citeshttps://doi.org/10.1145/3829371openalex-snapshot
MORPHEUS: A Multidimensional Framework for Modeling, Measuring, and Mitigating Human Factors in Cybersecurity
inferred← citeshttps://doi.org/10.1515/9783111436548-017openalex-snapshot
383An implementation of a web platform for training in phishingphishing attack detection using cognitive security, cognitive psychology, and game theory
inferred← citeshttps://doi.org/10.21203/rs.3.rs-4335902/v1openalex-snapshot
Towards Personalized Anti-Phishing: Counterfactual Explanation Approach
inferred← citeshttps://doi.org/10.21203/rs.3.rs-7734139/v1openalex-snapshot
Unintentional Insider Threats as Conduits of Social Engineering: A Systematic Review of Vulnerabilities, Reverse Social Engineering, and Mitigation Approaches
inferred← citeshttps://doi.org/10.23919/fusion59988.2024.10706523openalex-snapshot
RNN-UKF: Enhancing Hyperparameter Auto-Tuning in Unscented Kalman Filters through Recurrent Neural Networks
inferred← citeshttps://doi.org/10.24251/hicss.2022.926openalex-snapshot
Phishing, Data-Disclosure and The Cognitive Reflection Test
inferred← citeshttps://doi.org/10.33012/2024.19543openalex-snapshot
GASx: Explainable Artificial Intelligence For Detecting GPS Spoofing Attacks
inferred← citeshttps://doi.org/10.3390/ai6080174openalex-snapshot
Phishing Attacks in the Age of Generative Artificial Intelligence: A Systematic Review of Human Factors
inferred← citeshttps://doi.org/10.3390/fi16010031openalex-snapshot
Investigation of Phishing Susceptibility with Explainable Artificial Intelligence
inferred← citeshttps://doi.org/10.3390/math11244972openalex-snapshot
A Bidirectional Long Short-Term Memory Autoencoder Transformer for Remaining Useful Life Estimation
inferred← citeshttps://doi.org/10.3390/s24030824openalex-snapshot
A Two-Stage Attention-Based Hierarchical Transformer for Turbofan Engine Remaining Useful Life Prediction
inferred← citeshttps://doi.org/10.3390/w15193473openalex-snapshot
Groundwater Level Prediction with Machine Learning to Support Sustainable Irrigation in Water Scarcity Regions
inferred← citeshttps://doi.org/10.37917/ijeee.20.1.6openalex-snapshot
Measuring Individuals Cybersecurity Awareness Based on Demographic Features
inferred← citeshttps://doi.org/10.51583/ijltemas.2026.150500183openalex-snapshot
Online Security Behaviors as Predictors of Susceptibility to Simulated Phishing Attacks: A Quantitative Study among Computer Studies Students at Quezon City University
inferred← citeshttps://doi.org/10.62273/pelx2965openalex-snapshot
Phishing: Gender Differences in Email Security Perceptions and Behaviors
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.