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Cybersecurity in Smart Cities: Detection of Opposing Decisions on Anomalies in the Computer Network Behavior

https://doi.org/10.3390/electronics11223718

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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-030-19501-4openalex-snapshot

Engineering in Dependability of Computer Systems and Networks

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Data Preparation Basic Models

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Data Science and Predictive Analytics

inferredcites →https://doi.org/10.1007/978-3-642-24212-0_5openalex-snapshot

Fast Content-Based File Type Identification

inferredcites →https://doi.org/10.1007/s10207-021-00567-2openalex-snapshot

A content-based deep intrusion detection system

inferredcites →https://doi.org/10.1007/s10922-021-09616-6openalex-snapshot

Human Immune-Based Intrusion Detection and Prevention System for Fog Computing

inferredcites →https://doi.org/10.1007/s11227-021-03972-5openalex-snapshot

Smart city information processing under internet of things and cloud computing

inferredcites →https://doi.org/10.1007/s44196-021-00047-4openalex-snapshot

Network Intrusion Detection: An Analytical Assessment Using Deep Learning and State-of-the-Art Machine Learning Models

inferredcites →https://doi.org/10.1016/j.adhoc.2013.04.014openalex-snapshot

SVELTE: Real-time intrusion detection in the Internet of Things

inferredcites →https://doi.org/10.1016/j.cose.2019.06.005openalex-snapshot

A survey of network-based intrusion detection data sets

inferredcites →https://doi.org/10.1016/j.eswa.2009.05.029openalex-snapshot

Intrusion detection by machine learning: A review

inferredcites →https://doi.org/10.1016/j.heliyon.2018.e00938openalex-snapshot

State-of-the-art in artificial neural network applications: A survey

inferredcites →https://doi.org/10.1016/j.protcy.2013.12.159openalex-snapshot

The Effect of Data Pre-processing on Optimized Training of Artificial Neural Networks

inferredcites →https://doi.org/10.1063/1.168600openalex-snapshot

Damping–undamping strategies for the Levenberg–Marquardt nonlinear least-squares method

inferredcites →https://doi.org/10.1080/02522667.2019.1580886openalex-snapshot

Flower Pollination Algorithm for feature analysis of Kyoto 2006+ data set

inferredcites →https://doi.org/10.1088/1742-6596/2319/1/012029openalex-snapshot

Cyber Attack Detection Dataset: A Review

inferredcites →https://doi.org/10.1088/1757-899x/1013/1/012038openalex-snapshot

Comparative analysis of Machine Learning algorithms for Intrusion Detection

inferredcites →https://doi.org/10.1090/qam/10666openalex-snapshot

A method for the solution of certain non-linear problems in least squares

inferredcites →https://doi.org/10.1109/34.990133openalex-snapshot

Unsupervised feature selection using feature similarity

inferredcites →https://doi.org/10.1109/access.2020.3048900openalex-snapshot

Service-Aware Two-Level Partitioning for Machine Learning-Based Network Intrusion Detection With High Performance and High Scalability

inferredcites →https://doi.org/10.1109/access.2021.3091716openalex-snapshot

Modeling and Key Technologies of a Data-Driven Smart City System

inferredcites →https://doi.org/10.1109/access.2021.3129775openalex-snapshot

Research Trends in Network-Based Intrusion Detection Systems: A Review

inferredcites →https://doi.org/10.1109/access.2022.3181718openalex-snapshot

When Smart Cities Get Smarter via Machine Learning: An In-Depth Literature Review

inferredcites →https://doi.org/10.1109/acit50332.2020.9299965openalex-snapshot

A Hybrid Model for Anomaly-Based Intrusion Detection in Complex Computer Networks

inferredcites →https://doi.org/10.1109/comst.2014.2320099openalex-snapshot

Machine Learning in Wireless Sensor Networks: Algorithms, Strategies, and Applications

inferredcites →https://doi.org/10.1109/iciea48937.2020.9248225openalex-snapshot

A Data Mining Framework to Predict Cyber Attack for Cyber Security

inferredcites →https://doi.org/10.1109/iemeconx.2019.8877011openalex-snapshot

The Impact of Data Pre-Processing Techniques and Dimensionality Reduction on the Accuracy of Machine Learning

inferredcites →https://doi.org/10.1109/infocom41043.2020.9155219openalex-snapshot

Automatically and Adaptively Identifying Severe Alerts for Online Service Systems

inferredcites →https://doi.org/10.1109/sss47320.2020.9174388openalex-snapshot

Opportunities and Challenges of Data-Driven Cybersecurity for Smart Cities

inferredcites →https://doi.org/10.1109/surv.2013.052213.00046openalex-snapshot

Network Anomaly Detection: Methods, Systems and Tools

inferredcites →https://doi.org/10.1109/tc.2016.2519914openalex-snapshot

Building an Intrusion Detection System Using a Filter-Based Feature Selection Algorithm

inferredcites →https://doi.org/10.1109/tnn.2010.2047114openalex-snapshot

Discriminative Semi-Supervised Feature Selection Via Manifold Regularization

inferredcites →https://doi.org/10.1109/tnsm.2021.3091517openalex-snapshot

Practical Intrusion Detection of Emerging Threats

inferredcites →https://doi.org/10.1109/wcre.2012.37openalex-snapshot

A Framework to Compare Alert Ranking Algorithms

inferredcites →https://doi.org/10.1137/0111030openalex-snapshot

An Algorithm for Least-Squares Estimation of Nonlinear Parameters

inferredcites →https://doi.org/10.1137/1.9781611972771.75openalex-snapshot

Semi-supervised Feature Selection via Spectral Analysis

inferredcites →https://doi.org/10.1145/1273496.1273600openalex-snapshot

Supervised feature selection via dependence estimation

inferredcites →https://doi.org/10.1145/1978672.1978676openalex-snapshot

Statistical analysis of honeypot data and building of Kyoto 2006+ dataset for NIDS evaluation

inferredcites →https://doi.org/10.1186/s42400-019-0038-7openalex-snapshot

Survey of intrusion detection systems: techniques, datasets and challenges

inferredcites →https://doi.org/10.1201/9780429486593openalex-snapshot

Internet of Things

inferredcites →https://doi.org/10.13089/jkiisc.2017.27.6.1385openalex-snapshot

Machine Learning Based Intrusion Detection Systems for Class Imbalanced Datasets

inferredcites →https://doi.org/10.2298/fuee2202269popenalex-snapshot

Wk-fnn design for detection of anomalies in the computer network traffic

inferredcites →https://doi.org/10.26417/ejef.v4i1.p7-13openalex-snapshot

Detection of Anomalies in the Computer Network Behaviour

inferredcites →https://doi.org/10.3390/a14080242openalex-snapshot

Data Mining Algorithms for Smart Cities: A Bibliometric Analysis

inferredcites →https://doi.org/10.3390/app11177868openalex-snapshot

Generating Network Intrusion Detection Dataset Based on Real and Encrypted Synthetic Attack Traffic

inferredcites →https://doi.org/10.3390/electronics10070871openalex-snapshot

Artificial Intelligence Applications in Military Systems and Their Influence on Sense of Security of Citizens

inferredcites →https://doi.org/10.3390/electronics10131549openalex-snapshot

Machine-Learning-Enabled Intrusion Detection System for Cellular Connected UAV Networks

inferredcites →https://doi.org/10.3390/smartcities5020025openalex-snapshot

Implementing Data-Driven Smart City Applications for Future Cities

inferredcites →https://doi.org/10.3390/sym12061022openalex-snapshot

Performance Evaluation of Machine Learning Methods for Forest Fire Modeling and Prediction

inferredcites →https://doi.org/10.3390/sym12061046openalex-snapshot

A Feature Selection Model for Network Intrusion Detection System Based on PSO, GWO, FFA and GA Algorithms

inferredcites →https://doi.org/10.3390/sym14010105openalex-snapshot

An Anomaly-Based IDS Framework Using Centroid-Based Classification

inferredcites →https://doi.org/10.3837/tiis.2018.10.024openalex-snapshot

Feature Selection Algorithms in Intrusion Detection System: A Survey

inferredcites →https://doi.org/10.4018/978-1-7998-2772-6openalex-snapshot

Handbook of Research on Engineering Innovations and Technology Management in Organizations

inferredcites →https://doi.org/10.4018/ijrsda.2019040105openalex-snapshot

Impact of PDS Based kNN Classifiers on Kyoto Dataset

inferredcites →https://doi.org/10.5121/ijnsa.2020.12101openalex-snapshot

A Survey on the Use of Data Clustering for Intrusion Detection System in Cybersecurity

inferredcites →https://doi.org/10.5555/1005332.1016787openalex-snapshot

Feature Selection for Unsupervised Learning

inferredcites →https://doi.org/10.5772/intechopen.92653openalex-snapshot

Machine Learning Applications in Misuse and Anomaly Detection

What points at this work

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

inferred← citeshttps://doi.org/10.1007/979-8-8688-1047-3_4openalex-snapshot

Machine Learning Applications in UAV Swarms

inferred← citeshttps://doi.org/10.1109/ginotech63460.2025.11076843openalex-snapshot

Enhancing Cybersecurity in Smart Cities: IoT Applications with a Hybrid Deep Neural Network Model

inferred← citeshttps://doi.org/10.1109/iciscn64258.2025.10934339openalex-snapshot

Cybersecurity Threat Detection in Smart Cities using Box Plot Sampling Isolation Forest

inferred← citeshttps://doi.org/10.1109/sisy60376.2023.10417894openalex-snapshot

Machine Learning Methods for Cybersecurity: Review and Bibliometric Analysis

inferred← citeshttps://doi.org/10.32631/pb.2023.1.17openalex-snapshot

Cybersecurity of the municipal infrastructure

inferred← citeshttps://doi.org/10.3390/electronics12194158openalex-snapshot

Numerical Feature Selection and Hyperbolic Tangent Feature Scaling in Machine Learning-Based Detection of Anomalies in the Computer Network Behavior

inferred← citeshttps://doi.org/10.3390/electronics14244853openalex-snapshot

Artificial Intelligence as the Next Frontier in Cyber Defense: Opportunities and Risks

inferred← citeshttps://doi.org/10.3390/systems14080988openalex-snapshot

Artificial Intelligence-Driven Threat Detection in Sustainable Smart Cities: A Case Study for Saudi Urban Infrastructure

inferred← citeshttps://doi.org/10.4018/978-1-6684-9823-1.ch001openalex-snapshot

Demystifying Metaverse Applications for Intelligent Healthcare

inferred← citeshttps://doi.org/10.4018/978-1-6684-9823-1.ch008openalex-snapshot

Ethical Considerations in the Use of the Metaverse for Healthcare

inferred← citeshttps://doi.org/10.59277/romjist.2023.3-4.06openalex-snapshot

XOR-Based Detector of Different Decisions on Anomalies in the Computer Network Traffic

inferred← citeshttps://doi.org/10.7906/indecs.23.3.11openalex-snapshot

AI-based Critical Infrastructure Monitoring and Incident Analysis in Smart Cities

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