On the public citation graph

An empirical study of supervised email classification in Internet of Things: Practical performance and key influencing factors

0 signed · 68 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.

Claim with ORCID

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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.

See reference health

What this work says

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

inferredcites →https://doi.org/10.1002/cpe.5101openalex-snapshot

Adaptive machine learning‐based alarm reduction via edge computing for distributed intrusion detection systems

inferredcites →https://doi.org/10.1007/978-3-030-36056-6_6openalex-snapshot

Header Based Email Spam Detection Framework Using Support Vector Machine (SVM) Technique

inferredcites →https://doi.org/10.1007/978-3-642-03348-3_31openalex-snapshot

Study on Ensemble Classification Methods towards Spam Filtering

inferredcites →https://doi.org/10.1007/978-3-642-35362-8_5openalex-snapshot

A Multi-tier Ensemble Construction of Classifiers for Phishing Email Detection and Filtering

inferredcites →https://doi.org/10.1007/s10462-010-9166-xopenalex-snapshot

A study of spam filtering using support vector machines

inferredcites →https://doi.org/10.1016/j.asoc.2011.01.043openalex-snapshot

The predictive accuracy of feed forward neural networks and multiple regression in the case of heteroscedastic data

inferredcites →https://doi.org/10.1016/j.comcom.2013.11.001openalex-snapshot

Adaptive non-critical alarm reduction using hash-based contextual signatures in intrusion detection

inferredcites →https://doi.org/10.1016/j.comnet.2006.11.015openalex-snapshot

DMTP: Controlling spam through message delivery differentiation

inferredcites →https://doi.org/10.1016/j.cose.2014.02.006openalex-snapshot

EFM: Enhancing the performance of signature-based network intrusion detection systems using enhanced filter mechanism

inferredcites →https://doi.org/10.1016/j.future.2019.02.064openalex-snapshot

Designing collaborative blockchained signature-based intrusion detection in IoT environments

inferredcites →https://doi.org/10.1016/j.jnca.2008.02.023openalex-snapshot

An innovative analyser for multi-classifier e-mail classification based on grey list analysis

inferredcites →https://doi.org/10.1016/j.jnca.2011.06.004openalex-snapshot

Social network analysis of web links to eliminate false positives in collaborative anti-spam systems

inferredcites →https://doi.org/10.1016/j.jnca.2013.05.009openalex-snapshot

Adaptive blacklist-based packet filter with a statistic-based approach in network intrusion detection

inferredcites →https://doi.org/10.1016/j.jnca.2018.12.002openalex-snapshot

Design of multi-view based email classification for IoT systems via semi-supervised learning

inferredcites →https://doi.org/10.1016/j.jnca.2020.102631openalex-snapshot

Enhancing collaborative intrusion detection via disagreement-based semi-supervised learning in IoT environments

inferredcites →https://doi.org/10.1016/j.knosys.2014.03.015openalex-snapshot

Binary PSO with mutation operator for feature selection using decision tree applied to spam detection

inferredcites →https://doi.org/10.1016/j.knosys.2020.105918openalex-snapshot

Document-level multi-topic sentiment classification of Email data with BiLSTM and data augmentation

inferredcites →https://doi.org/10.1080/18756891.2013.802114openalex-snapshot

Enhancing False Alarm Reduction Using Voted Ensemble Selection in Intrusion Detection

inferredcites →https://doi.org/10.1108/jsit-11-2017-0105openalex-snapshot

Spam classification: a comparative analysis of different boosted decision tree approaches

inferredcites →https://doi.org/10.1109/72.788645openalex-snapshot

Support vector machines for spam categorization

inferredcites →https://doi.org/10.1109/cit.2009.136openalex-snapshot

A Method for Spam Behavior Recognition Based on Fuzzy Decision Tree

inferredcites →https://doi.org/10.1109/fskd.2011.6020074openalex-snapshot

A MapReduce based parallel SVM for large scale spam filtering

inferredcites →https://doi.org/10.1109/icc.2014.6883388openalex-snapshot

Enhancing email classification using data reduction and disagreement-based semi-supervised learning

inferredcites →https://doi.org/10.1109/icc.2015.7249515openalex-snapshot

An empirical study on email classification using supervised machine learning in real environments

inferredcites →https://doi.org/10.1109/iccp.2010.5606466openalex-snapshot

Spam detection filter using KNN algorithm and resampling

inferredcites →https://doi.org/10.1109/icon.2006.302641openalex-snapshot

Current and New Developments in Spam Filtering

inferredcites →https://doi.org/10.1109/icpr.2008.4761531openalex-snapshot

Spam filtering with several novel bayesian classifiers

inferredcites →https://doi.org/10.1109/incos.2015.75openalex-snapshot

Spam Detection Based on Nearest Community Classifier

inferredcites →https://doi.org/10.1109/iscas.2006.1693424openalex-snapshot

Binary LNS-based Naïve Bayes Hardware Classifier for Spam Control

inferredcites →https://doi.org/10.1109/isda.2006.253725openalex-snapshot

An Approach to Spam Detection by Naive Bayes Ensemble Based on Decision Induction

inferredcites →https://doi.org/10.1109/trustcom.2014.26openalex-snapshot

Towards Designing an Email Classification System Using Multi-view Based Semi-supervised Learning

inferredcites →https://doi.org/10.1111/exsy.12136openalex-snapshot

Context‐based email classification model

inferredcites →https://doi.org/10.1142/s0219649219500084openalex-snapshot

Classification Spam Email with Elimination of Unsuitable Features with Hybrid of GA-Naive Bayes

inferredcites →https://doi.org/10.1145/1277741.1277813openalex-snapshot

Relaxed online SVMs for spam filtering

inferredcites →https://doi.org/10.1145/1315245.1315288openalex-snapshot

Filtering spam with behavioral blacklisting

inferredcites →https://doi.org/10.1145/1920261.1920287openalex-snapshot

Spam mitigation using spatio-temporal reputations from blacklist history

inferredcites →https://doi.org/10.1145/1982185.1982204openalex-snapshot

Harmonic functions based semi-supervised learning for web spam detection

inferredcites →https://doi.org/10.1145/3196494.3196553openalex-snapshot

Augmenting Telephone Spam Blacklists by Mining Large CDR Datasets

inferredcites →https://doi.org/10.4108/chinacom.2010.59openalex-snapshot

Email classification using data reduction method

What points at this work

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

inferred← citeshttps://doi.org/10.1002/int.22889openalex-snapshot

Feature autoencoder for detecting adversarial examples

inferred← citeshttps://doi.org/10.1002/int.22893openalex-snapshot

A watermarking scheme for dual‐color images based on URV decomposition and image correction

inferred← citeshttps://doi.org/10.1002/int.22897openalex-snapshot

PF‐ITS: Intelligent traffic service recommendation based on DeepAFM model

inferred← citeshttps://doi.org/10.1002/int.22901openalex-snapshot

Learning robust graph for clustering

inferred← citeshttps://doi.org/10.1002/int.22905openalex-snapshot

Application of visual mechanical signal detection and loading platform with super‐resolution based on deep learning

inferred← citeshttps://doi.org/10.1002/int.22913openalex-snapshot

VISEL: A visual and magnetic fusion‐based large‐scale indoor localization system with improved high‐precision semantic maps

inferred← citeshttps://doi.org/10.1002/int.22932openalex-snapshot

Boosting cross‐task adversarial attack with random blur

inferred← citeshttps://doi.org/10.1002/int.22939openalex-snapshot

Image splicing forgery detection by combining synthetic adversarial networks and hybrid dense U‐net based on multiple spaces

inferred← citeshttps://doi.org/10.1002/int.22940openalex-snapshot

Accelerating stochastic‐based reliability estimation for combinational circuits at RTL using GPU parallel computing

inferred← citeshttps://doi.org/10.1002/int.22968openalex-snapshot

Financial credit risk assessment of online supply chain in construction industry with a hybrid model chain

inferred← citeshttps://doi.org/10.1002/int.22972openalex-snapshot

The data flow risk monitoring system of the expressway networking system based on deep learning

inferred← citeshttps://doi.org/10.1002/int.22976openalex-snapshot

Foreground object structure transfer for unsupervised domain adaptation

inferred← citeshttps://doi.org/10.1002/int.22977openalex-snapshot

Reasoning and tracing of information security events in the expressway networking system based on deep learning

inferred← citeshttps://doi.org/10.1002/int.23000openalex-snapshot

Label‐only membership inference attacks on machine unlearning without dependence of posteriors

inferred← citeshttps://doi.org/10.1002/int.23002openalex-snapshot

DPCL: Contrastive representation learning with differential privacy

inferred← citeshttps://doi.org/10.1002/int.23063openalex-snapshot

Towards robust and stealthy communication for wireless intelligent terminals

inferred← citeshttps://doi.org/10.1002/int.23096openalex-snapshot

Dynamic differential entropy and brain connectivity features based EEG emotion recognition

inferred← citeshttps://doi.org/10.1002/nem.2242openalex-snapshot

Thinking and exploration of the teaching mode of empirical accounting course based on the Internet of Things and deep learning

inferred← citeshttps://doi.org/10.1007/978-3-031-96775-7_5openalex-snapshot

Phishing Detection in IoT Networks Using Machine Learning: A Systematic Review

inferred← citeshttps://doi.org/10.1016/j.csi.2022.103699openalex-snapshot

Energy trading scheme based on consortium blockchain and game theory

inferred← citeshttps://doi.org/10.1016/j.ipm.2022.103132openalex-snapshot

Expressing uncertainty in information systems analytics research: A demonstration of Bayesian analysis applied to binary classification problems

inferred← citeshttps://doi.org/10.1016/j.jretconser.2023.103437openalex-snapshot

Do supermarkets’ emails have any value for their customers? The effect of emails’ content and interestingness on customers’ attitude and engagement

inferred← citeshttps://doi.org/10.1080/21642583.2025.2474450openalex-snapshot

Supervised methods of machine learning for email classification: a literature survey

inferred← citeshttps://doi.org/10.1109/icscna58489.2023.10370223openalex-snapshot

NLP-Driven Strategies for Effective Email Spam Detection: A Performance Evaluation

inferred← citeshttps://doi.org/10.1109/tnnls.2023.3244397openalex-snapshot

Dual Contrastive Learning Network for Graph Clustering

inferred← citeshttps://doi.org/10.1155/2024/7065482openalex-snapshot

Feature-Weighted Naive Bayesian Classifier for Wireless Network Intrusion Detection

inferred← citeshttps://doi.org/10.21203/rs.3.rs-1516950/v1openalex-snapshot

DPCL: Constrative Representation Learning with Differential Privacy

inferred← citeshttps://doi.org/10.32604/iasc.2023.034841openalex-snapshot

Improved Fruitfly Optimization with Stacked Residual Deep Learning Based Email Classification

inferred← citeshttps://doi.org/10.3390/electronics14183744openalex-snapshot

Machine Learning and Neural Networks for Phishing Detection: A Systematic Review (2017–2024)

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.