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Attention-Based 1D CNN-BiLSTM Hybrid Model Enhanced with FastText Word Embedding for Korean Voice Phishing Detection

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-031-27199-1_46openalex-snapshot

Privacy-Friendly Phishing Attack Detection Using Personalized Federated Learning

inferredcites →https://doi.org/10.1007/978-981-33-4370-2_37openalex-snapshot

A Third-Party Intelligent System for Preventing Call Phishing and Message Scams

inferredcites →https://doi.org/10.1007/s11235-020-00733-2openalex-snapshot

A comprehensive survey of AI-enabled phishing attacks detection techniques

inferredcites →https://doi.org/10.1007/s12652-021-03587-xopenalex-snapshot

Real-time Korean voice phishing detection based on machine learning approaches

inferredcites →https://doi.org/10.1007/s42979-021-00592-xopenalex-snapshot

Machine Learning: Algorithms, Real-World Applications and Research Directions

inferredcites →https://doi.org/10.1016/j.cose.2017.04.006openalex-snapshot

Phishing environments, techniques, and countermeasures: A survey

inferredcites →https://doi.org/10.1016/j.cose.2017.12.006openalex-snapshot

Mobile phishing attacks and defence mechanisms: State of art and open research challenges

inferredcites →https://doi.org/10.1016/j.csl.2020.101182openalex-snapshot

Attention-based BiLSTM fused CNN with gating mechanism model for Chinese long text classification

inferredcites →https://doi.org/10.1016/j.ipm.2013.08.006openalex-snapshot

The impact of preprocessing on text classification

inferredcites →https://doi.org/10.1016/j.measurement.2022.110759openalex-snapshot

Fault detection and diagnosis in electric motors using 1d convolutional neural networks with multi-channel vibration signals

inferredcites →https://doi.org/10.1016/j.neunet.2005.06.042openalex-snapshot

Framewise phoneme classification with bidirectional LSTM and other neural network architectures

inferredcites →https://doi.org/10.1016/j.neunet.2014.09.003openalex-snapshot

Deep learning in neural networks: An overview

inferredcites →https://doi.org/10.1016/j.ymssp.2020.107398openalex-snapshot

1D convolutional neural networks and applications: A survey

inferredcites →https://doi.org/10.1038/nature14539openalex-snapshot

Deep learning

inferredcites →https://doi.org/10.1109/access.2019.2913705openalex-snapshot

Phishing Email Detection Using Improved RCNN Model With Multilevel Vectors and Attention Mechanism

inferredcites →https://doi.org/10.1109/comst.2019.2957750openalex-snapshot

SoK: A Comprehensive Reexamination of Phishing Research From the Security Perspective

inferredcites →https://doi.org/10.1109/icccnt51525.2021.9579632openalex-snapshot

Classification of Fraud Calls by Intent Analysis of Call Transcripts

inferredcites →https://doi.org/10.1109/services.2018.00025openalex-snapshot

Fraud Phone Calls Analysis Based on Label Propagation Community Detection Algorithm

inferredcites →https://doi.org/10.1109/tbme.2015.2468589openalex-snapshot

Real-Time Patient-Specific ECG Classification by 1-D Convolutional Neural Networks

inferredcites →https://doi.org/10.1109/trustcom/bigdatase.2019.00024openalex-snapshot

Phishing URL Detection via CNN and Attention-Based Hierarchical RNN

inferredcites →https://doi.org/10.1126/science.aaa8415openalex-snapshot

Machine learning: Trends, perspectives, and prospects

inferredcites →https://doi.org/10.1145/3388970openalex-snapshot

Chinese Short Text Classification with Mutual-Attention Convolutional Neural Networks

inferredcites →https://doi.org/10.1145/3445970.3451152openalex-snapshot

Detecting Telephone-based Social Engineering Attacks using Scam Signatures

inferredcites →https://doi.org/10.1162/tacl_a_00051openalex-snapshot

Enriching Word Vectors with Subword Information

inferredcites →https://doi.org/10.1186/s42400-018-0008-5openalex-snapshot

Detecting telecommunication fraud by understanding the contents of a call

inferredcites →https://doi.org/10.13053/cys-21-4-2847openalex-snapshot

Hybrid Attention Networks for Chinese Short Text Classiﬁcation

inferredcites →https://doi.org/10.13089/jkiisc.2019.29.1.149openalex-snapshot

Study on Intelligence (AI) Detection Model about Telecommunication Finance Fraud Accident

inferredcites →https://doi.org/10.18653/v1/n16-1174openalex-snapshot

Hierarchical Attention Networks for Document Classification

inferredcites →https://doi.org/10.3390/app10175841openalex-snapshot

Bi-LSTM Model to Increase Accuracy in Text Classification: Combining Word2vec CNN and Attention Mechanism

inferredcites →https://doi.org/10.3390/app122111109openalex-snapshot

DeepDetection: Privacy-Enhanced Deep Voice Detection and User Authentication for Preventing Voice Phishing

inferredcites →https://doi.org/10.3390/app13052753openalex-snapshot

Data-Centric and Model-Centric AI: Twin Drivers of Compact and Robust Industry 4.0 Solutions

inferredcites →https://doi.org/10.3390/electronics8030292openalex-snapshot

A State-of-the-Art Survey on Deep Learning Theory and Architectures

inferredcites →https://doi.org/10.3390/make3030034openalex-snapshot

A Survey of Machine Learning-Based Solutions for Phishing Website Detection

inferredcites →https://doi.org/10.4218/etrij.14.0113.0798openalex-snapshot

iVisher: Real-Time Detection of Caller ID Spoofing

inferredcites →https://doi.org/10.5626/ktcp.2023.29.5.205openalex-snapshot

Development and Utilization of Voice Phishing Prevention Service through KoBERT-based Voice Call Analysis

inferredcites →https://doi.org/10.7551/mitpress/13811.001.0001openalex-snapshot

Machine Learning

inferredcites →https://doi.org/10.7717/peerj-cs.877openalex-snapshot

ACR-SA: attention-based deep model through two-channel CNN and Bi-RNN for sentiment analysis

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-031-70018-7_45openalex-snapshot

Detecting Deepfake Voices Using a Novel Method for Authenticity Verification in Voice-Based Communication

inferred← citeshttps://doi.org/10.1007/978-3-031-76604-6_1openalex-snapshot

Unmasking Phishing Attempts: A Study on Detection in Spanish Emails

inferred← citeshttps://doi.org/10.1007/978-3-032-15401-9_9openalex-snapshot

Abusive Comment Detection in Transliterated Bengali Corpus Using ML and DL Techniques

inferred← citeshttps://doi.org/10.1007/978-3-032-18910-3_35openalex-snapshot

TyperSig: A Custom Activation Function for PiNet-BiLSTM Keystroke Analysis

inferred← citeshttps://doi.org/10.1007/978-3-032-23396-7_15openalex-snapshot

BERT-Driven Deep Learning for Enhanced Spam Email Classification with Browser Extension Integration

inferred← citeshttps://doi.org/10.1007/978-3-032-31404-8_16openalex-snapshot

Efficient Korean Voice-Phishing Detection Using QLoRA-Tuned Small Language Models

inferred← citeshttps://doi.org/10.1007/978-981-96-2395-2_5openalex-snapshot

Enhanced Click Fraud Detection in Digital Advertising Through Ensemble Deep Learning

inferred← citeshttps://doi.org/10.1007/s11760-025-03944-9openalex-snapshot

A multi-scale integrated learning model with attention mechanisms for UAV audio signal detection

inferred← citeshttps://doi.org/10.1016/j.compeleceng.2025.110829openalex-snapshot

Intelligent cybersecurity systems for phishing attack detection - An overview

inferred← citeshttps://doi.org/10.1038/s41598-025-20668-5openalex-snapshot

Improving phishing email detection performance through deep learning with adaptive optimization

inferred← citeshttps://doi.org/10.1038/s41598-026-37032-wopenalex-snapshot

A deep residual 1D-CNN with self-attention for fraud transaction detection in virtual economies

inferred← citeshttps://doi.org/10.1109/access.2024.3448260openalex-snapshot

Reinforced Cost-Sensitive Graph Network for Detecting Fraud Leaders in Telecom Fraud

inferred← citeshttps://doi.org/10.1109/access.2024.3494254openalex-snapshot

A Hierarchical Dual-Role Interaction Network for Telephone Conversation Fraud Detection

inferred← citeshttps://doi.org/10.1109/access.2025.3545250openalex-snapshot

Enhancing Voice Phishing Detection Using Multilingual Back-Translation and SMOTE: An Empirical Study

inferred← citeshttps://doi.org/10.1109/access.2025.3603007openalex-snapshot

Enhanced Voice Phishing Detection Using an LLM-Based Framework for Data Augmentation and Classification

inferred← citeshttps://doi.org/10.1109/ecce64574.2025.11013020openalex-snapshot

Multi-Class Cyberbullying Detection of Bengali Social Media Texts Using A Hybrid Model

inferred← citeshttps://doi.org/10.1109/icce67443.2026.11449789openalex-snapshot

Sustainable Delta-Attention Based Transformer for Efficient Phishing URL Detection

inferred← citeshttps://doi.org/10.1109/icecet65726.2026.11632800openalex-snapshot

Fraud Detection in Calls Using Zero Shot Learning

inferred← citeshttps://doi.org/10.1109/iceic64972.2025.10879623openalex-snapshot

Data Augmentation for Messenger Phishing Detection Using Large Language Models

inferred← citeshttps://doi.org/10.1109/iceic64972.2025.10879662openalex-snapshot

Improving Messenger Phishing Detection Using Heterogeneous Phishing Data

inferred← citeshttps://doi.org/10.1109/icoeca68095.2026.11485075openalex-snapshot

Multimodal Phishing Website Detection using Hybrid Deep Learning and Ensemble Techniques

inferred← citeshttps://doi.org/10.1109/ictbig68706.2025.11323735openalex-snapshot

VishGuard: AI-Powered Real-Time Defense Against Voice Phishing

inferred← citeshttps://doi.org/10.1109/ictc62082.2024.10827466openalex-snapshot

Personalized Response System for Different Voice Phishing Types: Utilizing a Retrieval-Augmented Generation Model

inferred← citeshttps://doi.org/10.1109/icteca60133.2023.10490756openalex-snapshot

Fine-Tuning Fasttext Using Bayesian Optimization for Movie Review Sentiment Analysis

inferred← citeshttps://doi.org/10.1109/iitcee67948.2026.11394120openalex-snapshot

AI -Driven Query Management and Issue Resolution System for Smart Villages

inferred← citeshttps://doi.org/10.1109/incit66780.2025.11276108openalex-snapshot

Semantic-Structure Based Graph Attention Networks for Dialogue Intention Classification in Fraud Detection

inferred← citeshttps://doi.org/10.1109/mercon67903.2025.11217116openalex-snapshot

Conversation Prediction for Vishing Attack Detection: A Comparative Analysis of Pre-Trained Transformer Models

inferred← citeshttps://doi.org/10.1142/s2301385025500761openalex-snapshot

Spoofing Detection in Images Using Eques Chimp Optimization-based Deep Convolutional Neural Network Model

inferred← citeshttps://doi.org/10.14801/jkiit.2025.23.10.175openalex-snapshot

Voice Phishing Detection using KoBERT and CNN-LSTM

inferred← citeshttps://doi.org/10.14801/jkiit.2026.24.2.1openalex-snapshot

On-Device Text-based Voice Phishing Detection System Exploiting Synthetic Data and XAI

inferred← citeshttps://doi.org/10.15381/rpcs.v6i2.29031openalex-snapshot

Modelo Sectrabank para mitigar el fraude informático en operaciones electrónicas a través de aplicaciones bancarias en dispositivos Android

inferred← citeshttps://doi.org/10.20944/preprints202404.0238.v1openalex-snapshot

Sectrabank Model to Mitigate Computer Fraud in Electronic Operations through Banking Applications on Android Devices

inferred← citeshttps://doi.org/10.21203/rs.3.rs-9211270/v1openalex-snapshot

Explainable and Robust Fraud Risk Classification in Metaverse Virtual Economies: A SHAP-Enhanced 1D-CNN with Uncertainty-Aware Noise Robustness Evaluation

inferred← citeshttps://doi.org/10.32604/cmc.2024.045385openalex-snapshot

Enhancing ChatGPT’s Querying Capability with Voice-Based Interaction and CNN-Based Impair Vision Detection Model

inferred← citeshttps://doi.org/10.3390/a19090723openalex-snapshot

MiLTL: A Cross-Modal Contradiction Cascade for On-Device Voice Phishing Detection

inferred← citeshttps://doi.org/10.3390/ai5010009openalex-snapshot

AI and Face-Driven Orthodontics: A Scoping Review of Digital Advances in Diagnosis and Treatment Planning

inferred← citeshttps://doi.org/10.3390/app152011170openalex-snapshot

A Multimodal Voice Phishing Detection System Integrating Text and Audio Analysis

inferred← citeshttps://doi.org/10.3390/fi18010030openalex-snapshot

Synergistic Phishing Intrusion Detection: Integrating Behavioral and Structural Indicators with Hybrid Ensembles and XAI Validation

inferred← citeshttps://doi.org/10.3390/info17010005openalex-snapshot

Transforming Credit Risk Analysis: A Time-Series-Driven ResE-BiLSTM Framework for Post-Loan Default Detection

inferred← citeshttps://doi.org/10.3390/math12193006openalex-snapshot

TPE-Optimized DNN with Attention Mechanism for Prediction of Tower Crane Payload Moving Conditions

inferred← citeshttps://doi.org/10.3390/s25092725openalex-snapshot

Research on Intrusion Detection Method Based on Transformer and CNN-BiLSTM in Internet of Things

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An Ensemble Approach to Predict a Sustainable Energy Plan for London Households

inferred← citeshttps://doi.org/10.7717/peerj-cs.3985openalex-snapshot

DAMSE: a dialect-aware multi-strategy ensemble framework for Arabic vishing detection with zero-shot learning

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