On the public citation graph

Effective intrusion detection system for IoT using optimized capsule auto encoder model

https://doi.org/10.1002/cpe.6918
0 signed · 55 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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.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/ett.4221openalex-snapshot
An intrusion detection system using optimized deep neural network architecture
inferredcites →https://doi.org/10.1007/978-3-319-67636-4openalex-snapshot
Cloud Infrastructures, Services, and IoT Systems for Smart Cities
inferredcites →https://doi.org/10.1007/s00521-015-1964-2openalex-snapshot
A hybrid method consisting of GA and SVM for intrusion detection system
inferredcites →https://doi.org/10.1007/s00521-020-05145-6openalex-snapshot
A novel meta-heuristic search algorithm for solving optimization problems: capuchin search algorithm
inferredcites →https://doi.org/10.1007/s10489-017-1019-8openalex-snapshot
Grasshopper optimization algorithm for multi-objective optimization problems
inferredcites →https://doi.org/10.1007/s11227-019-03005-2openalex-snapshot
Detecting and confronting flash attacks from IoT botnets
inferredcites →https://doi.org/10.1016/b978-155860759-0/50002-0openalex-snapshot
Computational intelligence
inferredcites →https://doi.org/10.1016/j.adhoc.2020.102177openalex-snapshot
IGAN-IDS: An imbalanced generative adversarial network towards intrusion detection system in ad-hoc networks
inferredcites →https://doi.org/10.1016/j.advengsoft.2017.07.002openalex-snapshot
Salp Swarm Algorithm: A bio-inspired optimizer for engineering design problems
inferredcites →https://doi.org/10.1016/j.autcon.2019.01.023openalex-snapshot
Adopting Internet of Things for the development of smart buildings: A review of enabling technologies and applications
inferredcites →https://doi.org/10.1016/j.cose.2018.07.016openalex-snapshot
EclipseIoT: A secure and adaptive hub for the Internet of Things
inferredcites →https://doi.org/10.1016/j.eswa.2020.113249openalex-snapshot
A feature selection algorithm for intrusion detection system based on Pigeon Inspired Optimizer
inferredcites →https://doi.org/10.1016/j.future.2017.01.029openalex-snapshot
A novel statistical technique for intrusion detection systems
inferredcites →https://doi.org/10.1016/j.future.2019.05.041openalex-snapshot
Towards the development of realistic botnet dataset in the Internet of Things for network forensic analytics: Bot-IoT dataset
inferredcites →https://doi.org/10.1016/j.icte.2020.03.002openalex-snapshot
A Deep Gated Recurrent Unit based model for wireless intrusion detection system
inferredcites →https://doi.org/10.1016/j.knosys.2018.08.030openalex-snapshot
Atom search optimization and its application to solve a hydrogeologic parameter estimation problem
inferredcites →https://doi.org/10.1016/j.procs.2017.12.087openalex-snapshot
Long Short Term Memory Recurrent Neural Network (LSTM-RNN) Based Workload Forecasting Model For Cloud Datacenters
inferredcites →https://doi.org/10.1109/access.2018.2854599openalex-snapshot
Deep Learning-Based Intrusion Detection With Adversaries
inferredcites →https://doi.org/10.1109/access.2020.2969626openalex-snapshot
HIDROID: Prototyping a Behavioral Host-Based Intrusion Detection and Prevention System for Android
inferredcites →https://doi.org/10.1109/access.2020.2996226openalex-snapshot
A Hybrid Nested Genetic-Fuzzy Algorithm Framework for Intrusion Detection and Attacks
inferredcites →https://doi.org/10.1109/access.2020.3040510openalex-snapshot
NADS-RA: Network Anomaly Detection Scheme Based on Feature Representation and Data Augmentation
inferredcites →https://doi.org/10.1109/ccaa.2017.8230015openalex-snapshot
Securing the Internet of Things: A proposed framework
inferredcites →https://doi.org/10.1109/iccnc.2018.8390278openalex-snapshot
An Empirical Evaluation of Deep Learning for Network Anomaly Detection
inferredcites →https://doi.org/10.1109/iccst45897.2019openalex-snapshot
2019 International Carnahan Conference on Security Technology (ICCST)
inferredcites →https://doi.org/10.1109/icos50156.2020.9293672openalex-snapshot
IoT Applications in Smart Agriculture: Issues and Challenges
inferredcites →https://doi.org/10.1109/inmic50486.2020.9318216openalex-snapshot
IoT DoS and DDoS Attack Detection using ResNet
inferredcites →https://doi.org/10.1109/msnmc.2018.8576287openalex-snapshot
Detection of Distributed Denial of Service Attacks Using Snort Rules in Cloud Computing & Remote Control Systems
inferredcites →https://doi.org/10.1109/tetci.2017.2772792openalex-snapshot
A Deep Learning Approach to Network Intrusion Detection
inferredcites →https://doi.org/10.1155/2019/7130868openalex-snapshot
Building an Effective Intrusion Detection System by Using Hybrid Data Optimization Based on Machine Learning Algorithms
inferredcites →https://doi.org/10.1155/2020/6689134openalex-snapshot
Intrusion Detection System for Internet of Things Based on Temporal Convolution Neural Network and Efficient Feature Engineering
inferredcites →https://doi.org/10.1155/2021/5564354openalex-snapshot
I2DS: Interpretable Intrusion Detection System Using Autoencoder and Additive Tree
inferredcites →https://doi.org/10.3390/app11104580openalex-snapshot
Internet of Things Meet Internet of Threats: New Concern Cyber Security Issues of Critical Cyber Infrastructure
inferredcites →https://doi.org/10.3390/electronics9081246openalex-snapshot
IoT Technology Applications-Based Smart Cities: Research Analysis
inferredcites →https://doi.org/10.3390/electronics9122006openalex-snapshot
Unknown Security Attack Detection Using Shallow and Deep ANN Classifiers
inferredcites →https://doi.org/10.3390/s17091967openalex-snapshot
Conditional Variational Autoencoder for Prediction and Feature Recovery Applied to Intrusion Detection in IoT
inferredcites →https://doi.org/10.3390/s19112528openalex-snapshot
Improving the Classification Effectiveness of Intrusion Detection by Using Improved Conditional Variational AutoEncoder and Deep Neural Network
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/10.36548/jeea.2019.1.002openalex-snapshot
REVIEW ON IOT BASED SMART GRID ARCHITECTURE IMPLEMENTATIONS

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-3-031-40905-9_24openalex-snapshot
Radial Basis Neural Network Based Distributed Denial of Services (DDoS) Attack Detection
inferred← citeshttps://doi.org/10.1007/978-981-99-4577-1_24openalex-snapshot
Privacy Preserving Through Federated Learning
inferred← citeshttps://doi.org/10.1007/s00500-023-08330-6openalex-snapshot
RETRACTED ARTICLE: Securing health care data through blockchain enabled collaborative machine learning
inferred← citeshttps://doi.org/10.1016/j.jnca.2024.103925openalex-snapshot
Recent endeavors in machine learning-powered intrusion detection systems for the Internet of Things
inferred← citeshttps://doi.org/10.1016/j.knosys.2023.110638openalex-snapshot
EHR privacy preservation using federated learning with DQRE-Scnet for healthcare application domains
inferred← citeshttps://doi.org/10.1016/j.swevo.2025.101984openalex-snapshot
A systematic review of metaheuristics-based and machine learning-driven intrusion detection systems in IoT
inferred← citeshttps://doi.org/10.1063/5.0217289openalex-snapshot
Medical insurance premium prediction using machine learning
inferred← citeshttps://doi.org/10.1109/access.2024.3362347openalex-snapshot
Enhancing Intrusion Detection Through Federated Learning With Enhanced Ghost_BiNet and Homomorphic Encryption
inferred← citeshttps://doi.org/10.1109/icesc54411.2022.9885422openalex-snapshot
Survey on Autonomous Vehicles using Artificial Intelligence
inferred← citeshttps://doi.org/10.1109/icicat57735.2023.10263676openalex-snapshot
Anomaly Detection in the Cloud Environment with Clustering Optimization Model for Attack Detection in IDs
inferred← citeshttps://doi.org/10.1109/icict60155.2024.10544628openalex-snapshot
Enhanced Botnet Attack Detection using Machine Learning and Neural Networks
inferred← citeshttps://doi.org/10.3390/s23063253openalex-snapshot
Transfer Learning for Image-Based Malware Detection for IoT
inferred← citeshttps://doi.org/10.36222/ejt.1391524openalex-snapshot
Performance Evaluation of Capuchin Search Algorithm Through Non-linear Problems, and Optimization of Gear Train Design Problem
inferred← citeshttps://doi.org/10.4018/979-8-3693-8944-7.ch010openalex-snapshot
A Novel Approach for Intrusion Detection System Using Deep Learning Architecture
inferred← citeshttps://doi.org/10.4018/979-8-3693-8944-7.ch011openalex-snapshot
A New Approach for Detecting Malware Using a Convolutional Autoencoder With Kernel Density Estimation
inferred← citeshttps://doi.org/10.56294/sctconf2024760openalex-snapshot
Ensemble classification based hybrid dual-channel convolution neural network (dccnn) with enhanced manta ray foraging optimization (emrfo) algorithm for cyber security malware threats detection
inferred← citeshttps://doi.org/10.57238/csj.0kdtzj06openalex-snapshot
Random Forest and LSTM Hybrid Model for Detecting DDoS Attacks in Healthcare IoT Networks
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.