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Vishing
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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.
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-031-90587-2_6openalex-snapshot
Generation of Believable Fake Integral Equations for Cyber Deception
inferred← citeshttps://doi.org/10.1007/978-3-642-13241-4_15openalex-snapshot
Analysis of Token and Ticket Based Mechanisms for Current VoIP Security Issues and Enhancement Proposal
inferred← citeshttps://doi.org/10.1016/j.jnca.2012.02.010openalex-snapshot
Transaction-based authentication and key agreement protocol for inter-domain VoIP
inferred← citeshttps://doi.org/10.1063/5.0195769openalex-snapshot
The challenges of cyber space with crime-as-a-service (CAAS) to amateur attackers
inferred← citeshttps://doi.org/10.1080/19361610.2024.2368969openalex-snapshot
Theoretical and Experimental Framework for Estimating Cyber Victimization Risk in a Hybrid Physical-Virtual World
inferred← citeshttps://doi.org/10.1108/09685221211286548openalex-snapshot
Phishing counter measures and their effectiveness – literature review
inferred← citeshttps://doi.org/10.1109/ccc.2016.25openalex-snapshot
Analyzing CyberCrimes Strategies: The Case of Phishing Attack
inferred← citeshttps://doi.org/10.1109/ccst.2019.8888441openalex-snapshot
Identification and prevention of social engineering attacks on an enterprise
inferred← citeshttps://doi.org/10.1109/ecrime57793.2022.10142113openalex-snapshot
“I don’t really give them piece of mind”: User Perceptions of Social Engineering Attacks
inferred← citeshttps://doi.org/10.1109/spw53761.2021.00018openalex-snapshot
Applying Deep Learning to Combat Mass Robocalls
inferred← citeshttps://doi.org/10.1145/1941530.1941534openalex-snapshot
Inter-domain and DoS-resistant call establishment protocol (IDDR-CEP)
inferred← citeshttps://doi.org/10.1145/2994459.2994471openalex-snapshot
Exploiting Phone Numbers and Cross-Application Features in Targeted Mobile Attacks
inferred← citeshttps://doi.org/10.1145/3821581.3833108openalex-snapshot
“He Put Too Much Pressure on Me”: Pressure and Urgency in Synthetic Voice Deception
inferred← citeshttps://doi.org/10.1177/00187208211012818openalex-snapshot
How Perceptions of Caller Honesty Vary During Vishing Attacks That Include Highly Sensitive or Seemingly Innocuous Requests
inferred← citeshttps://doi.org/10.1177/1071181322661330openalex-snapshot
Cognitive Engineering Modeling of Phishing
inferred← citeshttps://doi.org/10.2139/ssrn.5230487openalex-snapshot
Potential Issues with Hello! UPI
inferred← citeshttps://doi.org/10.3390/electronics15132846openalex-snapshot
The Generalization Gap: Do Audio Deepfake Detectors Actually Protect Against Modern Vishing?
inferred← citeshttps://doi.org/10.3390/fi17010024openalex-snapshot
Ventinel: Automated Detection of Android Vishing Apps Using Optical Character Recognition
inferred← citeshttps://doi.org/10.4018/979-8-3693-2215-4.ch017openalex-snapshot
An Analysis on Frauds Affecting the Financial Security of the Indian Banking Sector
inferred← citeshttps://doi.org/10.4218/etrij.14.0113.0798openalex-snapshot
iVisher: Real-Time Detection of Caller ID Spoofing
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