On the public citation graph
Sok: The Past Decade of User Deception in Emails and Today's Email Clients’ Susceptibility to Phishing Techniques
0 signed · 51 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known work and none has been retracted — and get a dated CiteStamped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/10.1007/978-3-030-58986-8_7openalex-snapshot
Microtargeting or Microphishing? Phishing Unveiled
inferredcites →https://doi.org/10.1007/978-3-030-65610-2_9openalex-snapshot
A Toolkit for Security Awareness Training Against Targeted Phishing
inferredcites →https://doi.org/10.1007/978-3-319-63645-0_68openalex-snapshot
A Novel Anti-phishing Effectiveness Evaluator Model
inferredcites →https://doi.org/10.1007/978-3-662-64322-8_18openalex-snapshot
SoK: Securing Email—A Stakeholder-Based Analysis
inferredcites →https://doi.org/10.1007/978-981-13-9364-8_2openalex-snapshot
Identifying Phishing Through Web Content and Addressed Bar-Based Features
inferredcites →https://doi.org/10.1016/j.asoc.2020.106505openalex-snapshot
DTOF-ANN: An Artificial Neural Network phishing detection model based on Decision Tree and Optimal Features
inferredcites →https://doi.org/10.1016/j.cose.2017.02.004openalex-snapshot
User experiences of TORPEDO: TOoltip-poweRed Phishing Email DetectiOn
inferredcites →https://doi.org/10.1016/j.dib.2020.106438openalex-snapshot
Datasets for phishing websites detection
inferredcites →https://doi.org/10.1016/j.procs.2021.05.077openalex-snapshot
Phishing Email Detection Using Natural Language Processing Techniques: A Literature Survey
inferredcites →https://doi.org/10.1016/s1361-3723(20)30098-1openalex-snapshot
Why is phishing still successful?
inferredcites →https://doi.org/10.1108/jfc-02-2020-0026openalex-snapshot
Exploiting trust for financial gain: an overview of business email compromise (BEC) fraud
inferredcites →https://doi.org/10.1109/acsat.2014.29openalex-snapshot
An Experimental Study for Assessing Email Classification Attributes Using Feature Selection Methods
inferredcites →https://doi.org/10.1109/ares.2016.84openalex-snapshot
The Landscape of Domain Name Typosquatting: Techniques and Countermeasures
inferredcites →https://doi.org/10.1109/csci46756.2018.00248openalex-snapshot
Analysis of Malicious URLs on Twitter
inferredcites →https://doi.org/10.1109/csitss54238.2021.9683237openalex-snapshot
Real-Time Threat Intelligence-Block Phising Attacks
inferredcites →https://doi.org/10.1109/ecrime.2014.6963161openalex-snapshot
bit.ly/malicious: Deep dive into short URL based e-crime detection
inferredcites →https://doi.org/10.1109/ent.2019.00008openalex-snapshot
Phishing Attacks and Preventions in Blockchain Based Projects
inferredcites →https://doi.org/10.1109/eurosp51992.2021.00045openalex-snapshot
D-Fence: A Flexible, Efficient, and Comprehensive Phishing Email Detection System
inferredcites →https://doi.org/10.1109/eurospw51379.2020.00078openalex-snapshot
Feasibility of Large-Scale Vulnerability Notifications after GDPR
inferredcites →https://doi.org/10.1109/icaccs48705.2020.9074400openalex-snapshot
Phishing Website Detection Based on Machine Learning: A Survey
inferredcites →https://doi.org/10.1109/icacite51222.2021.9404587openalex-snapshot
Business E-mail Compromise — Techniques and Countermeasures
inferredcites →https://doi.org/10.1109/icccnt51525.2021.9579888openalex-snapshot
Detecting Phishing of Short Uniform Resource Locators using classification techniques
inferredcites →https://doi.org/10.1109/icimia48430.2020.9074837openalex-snapshot
Gravitational Search Based Feature Selection for Enhanced Phishing Websites Detection
inferredcites →https://doi.org/10.1109/iciss49785.2020.9315895openalex-snapshot
Phishing Attack Detection using Machine Learning Classification Techniques
inferredcites →https://doi.org/10.1109/iscc-c.2013.110openalex-snapshot
Research of the Anti-phishing Technology Based on E-mail Extraction and Analysis
inferredcites →https://doi.org/10.1109/itnec48623.2020.9084766openalex-snapshot
Detection method of phishing email based on persuasion principle
inferredcites →https://doi.org/10.1109/msp.2016.111openalex-snapshot
Developers are Not the Enemy!: The Need for Usable Security APIs
inferredcites →https://doi.org/10.1109/secdev.2018.00020openalex-snapshot
Towards Understanding the Adoption of Anti-Spoofing Protocols in Email Systems
inferredcites →https://doi.org/10.1109/smc.2017.8122682openalex-snapshot
"To click or not to click is the question": Fraudulent URL identification accuracy in a community sample
inferredcites →https://doi.org/10.1109/sp46214.2022.9833755openalex-snapshot
27 Years and 81 Million Opportunities Later: Investigating the Use of Email Encryption for an Entire University
inferredcites →https://doi.org/10.1109/synasc.2018.00073openalex-snapshot
Detecting Java Compiled Malware using Machine Learning Techniques
inferredcites →https://doi.org/10.1109/tnsm.2021.3065422openalex-snapshot
Adoption of Email Anti-Spoofing Schemes: A Large Scale Analysis
inferredcites →https://doi.org/10.1109/uemcon53757.2021.9666627openalex-snapshot
Phishing Attacks Detection A Machine Learning-Based Approach
inferredcites →https://doi.org/10.1145/1719030.1719050openalex-snapshot
So long, and no thanks for the externalities
inferredcites →https://doi.org/10.1145/1866423.1866434openalex-snapshot
Lexical feature based phishing URL detection using online learning
inferredcites →https://doi.org/10.1145/1947940.1948049openalex-snapshot
A phishing analysis of web based systems
inferredcites →https://doi.org/10.1145/1978942.1979244openalex-snapshot
Does domain highlighting help people identify phishing sites?
inferredcites →https://doi.org/10.1145/3419394.3423617openalex-snapshot
Who is targeted by email-based phishing and malware?
inferredcites →https://doi.org/10.1145/3575797openalex-snapshot
SoK: Human-centered Phishing Susceptibility
inferredcites →https://doi.org/10.1177/0735633121992516openalex-snapshot
Training Users to Identify Phishing Emails
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/ndss.2015.23058openalex-snapshot
Seven Months' Worth of Mistakes: A Longitudinal Study of Typosquatting Abuse
inferredcites →https://doi.org/10.26083/tuprints-00020675openalex-snapshot
SoK: Still Plenty of Phish in the Sea - A Taxonomy of User-Oriented Phishing Interventions and Avenues for Future Research
inferredcites →https://doi.org/10.4225/75/57b405aa30deeopenalex-snapshot
Assessment of Internationalised Domain Name Homograph Attack Mitigation
inferredcites →https://doi.org/10.48550/arxiv.2011.08420openalex-snapshot
Weak Links in Authentication Chains: A Large-scale Analysis of Email Sender Spoofing Attacks
inferredcites →https://doi.org/10.5445/ir/1000122566openalex-snapshot
An investigation of phishing awareness and education over time: When and how to best remind users
inferredcites →https://doi.org/10.5539/ijbm.v13n6p1openalex-snapshot
Individual Cyber Security: Empowering Employees to Resist Spear Phishing to Prevent Identity Theft and Ransomware Attacks
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-032-32767-3_14openalex-snapshot
Understanding Phishing Scams in the Steam Ecosystem
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.