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RNN-ABC: A New Swarm Optimization Based Technique for Anomaly 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/10.1007/0-387-27705-6openalex-snapshot
Handbook of nature-inspired and innovative computing : integrating classical models with emerging technologies
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A Heuristic Intrusion Detection System for Internet-of-Things (IoT)
inferredcites →https://doi.org/10.1007/978-3-319-91086-4openalex-snapshot
Handbook of Metaheuristics
inferredcites →https://doi.org/10.1007/978-3-319-93025-1openalex-snapshot
Evolutionary Algorithms and Neural Networks: Theory and Applications
inferredcites →https://doi.org/10.1007/978-3-319-93025-1_4openalex-snapshot
Genetic Algorithm
inferredcites →https://doi.org/10.1007/s00607-018-0654-1openalex-snapshot
Critical situation management utilizing IoT-based data resources through dynamic contextual role modeling and activation
inferredcites →https://doi.org/10.1007/s10586-017-1117-8openalex-snapshot
A survey of deep learning-based network anomaly detection
inferredcites →https://doi.org/10.1007/s10898-007-9149-xopenalex-snapshot
A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm
inferredcites →https://doi.org/10.1016/j.future.2018.10.036openalex-snapshot
Context-aware access control with imprecise context characterization for cloud-based data resources
inferredcites →https://doi.org/10.1016/j.phycom.2015.11.004openalex-snapshot
Random neural network based novel decision making framework for optimized and autonomous power control in LTE uplink system
inferredcites →https://doi.org/10.1016/j.procs.2016.06.047openalex-snapshot
Random Forest Modeling for Network Intrusion Detection System
inferredcites →https://doi.org/10.1017/s0269964817000201openalex-snapshot
RANDOM NEURAL NETWORK LEARNING HEURISTICS
inferredcites →https://doi.org/10.1049/iet-net.2015.0020openalex-snapshot
Experimental testing of a random neural network smart controller using a single zone test chamber
inferredcites →https://doi.org/10.1109/access.2017.2762418openalex-snapshot
A Deep Learning Approach for Intrusion Detection Using Recurrent Neural Networks
inferredcites →https://doi.org/10.1109/access.2018.2805680openalex-snapshot
A Survey on Security Threats and Defensive Techniques of Machine Learning: A Data Driven View
inferredcites →https://doi.org/10.1109/ceec.2018.8674228openalex-snapshot
A Novel Random Neural Network Based Approach for Intrusion Detection Systems
inferredcites →https://doi.org/10.1109/ijcnn.2000.860772openalex-snapshot
Analog hardware implementation of the random neural network model
inferredcites →https://doi.org/10.1109/jiot.2016.2627403openalex-snapshot
Design and Implementation of a Cloud Enabled Random Neural Network-Based Decentralized Smart Controller With Intelligent Sensor Nodes for HVAC
inferredcites →https://doi.org/10.1109/mic.2018.022021660openalex-snapshot
Healthcare Informatics and Privacy
inferredcites →https://doi.org/10.1109/msp.2018.2825478openalex-snapshot
IoT Security Techniques Based on Machine Learning: How Do IoT Devices Use AI to Enhance Security?
inferredcites →https://doi.org/10.1109/spaces.2015.7058223openalex-snapshot
Performance analysis of NSL-KDD dataset using ANN
inferredcites →https://doi.org/10.1109/syscon.2017.7934803openalex-snapshot
Energy demand prediction through novel random neural network predictor for large non-domestic buildings
inferredcites →https://doi.org/10.1109/tcsvt.2002.806808openalex-snapshot
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inferredcites →https://doi.org/10.1109/tii.2016.2597746openalex-snapshot
Smart Random Neural Network Controller for HVAC Using Cloud Computing Technology
inferredcites →https://doi.org/10.1145/2990499openalex-snapshot
Intelligent Intrusion Detection in Low-Power IoTs
inferredcites →https://doi.org/10.1162/neco.1989.1.4.502openalex-snapshot
Random Neural Networks with Negative and Positive Signals and Product Form Solution
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Very Deep Convolutional Networks for Large-Scale Image Recognition
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Improving the Intrusion Detection using Discriminative Machine Learning Approach and Improve the Time Complexity by Data Mining Feature Selection Methods

What points at this work

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

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LoRa RSSI Based Outdoor Localization in an Urban Area Using Random Neural Networks
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Data-Driven Approach to Network Intrusion Detection System Using Modified Artificial Bee Colony Algorithm for Nature-Inspired Cybersecurity
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Application of Deep Learning Techniques in Cyber-Attack Detection
inferred← citeshttps://doi.org/10.1007/978-981-19-0332-8_17openalex-snapshot
Novel Harris Hawks Optimization and Deep Neural Network Approach for Intrusion Detection
inferred← citeshttps://doi.org/10.1007/978-981-19-4831-2_1openalex-snapshot
Firefly Algorithm and Deep Neural Network Approach for Intrusion Detection
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An ensemble approach-based intrusion detection system utilizing ISHO-HBA and SE-ResNet152
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Zero-day attack detection: a systematic literature review
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An Enhanced Hybrid Intrusion Detection Using Mapreduce-Optimized Black Widow Convolutional LSTM Neural Networks
inferred← citeshttps://doi.org/10.1007/s12652-020-01919-xopenalex-snapshot
Hybridizing genetic algorithm and grey wolf optimizer to advance an intelligent and lightweight intrusion detection system for IoT wireless networks
inferred← citeshttps://doi.org/10.1007/s13204-021-02172-0openalex-snapshot
Quality of service system that is self-updating by intrusion detection systems using reinforcement learning
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A secure framework for the Internet of Things anomalies using machine learning
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Anomaly detection in IoT using fox swarm intelligence
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IGAN-IDS: An imbalanced generative adversarial network towards intrusion detection system in ad-hoc networks
inferred← citeshttps://doi.org/10.1016/j.cose.2023.103172openalex-snapshot
Collaborative device-level botnet detection for internet of things
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An efficient network intrusion detection approach based on logistic regression model and parallel artificial bee colony algorithm
inferred← citeshttps://doi.org/10.1016/j.eswa.2022.116545openalex-snapshot
Hybrid Intrusion Detection using MapReduce based Black Widow Optimized Convolutional Long Short-Term Memory Neural Networks
inferred← citeshttps://doi.org/10.1016/j.jisa.2022.103196openalex-snapshot
A Deep Learning Ensemble Approach to Detecting Unknown Network Attacks
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The cybersecurity mesh: A comprehensive survey of involved artificial intelligence methods, cryptographic protocols and challenges for future research
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Combination of Two Modifications Based ANFIS for Attack Detection in IoT Environment
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A Novel Attack Detection Scheme for the Industrial Internet of Things Using a Lightweight Random Neural Network
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A Survey on Machine Learning Techniques for Cyber Security in the Last Decade
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A Study of Machine Learning Techniques for Cybersecurity
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Intrusion Detection System Based on Machine Learning Techniques: A Survey
inferred← citeshttps://doi.org/10.1109/assic64892.2025.11158623openalex-snapshot
Secure Net: Leveraging Machine Learning to Curb Cyber Attacks
inferred← citeshttps://doi.org/10.1109/honet50430.2020.9322813openalex-snapshot
Network Intrusion Detection Leveraging Machine Learning and Feature Selection
inferred← citeshttps://doi.org/10.1109/ijcnn48605.2020.9207627openalex-snapshot
An Adversarial Attack Detection Paradigm With Swarm Optimization
inferred← citeshttps://doi.org/10.1109/lt60077.2024.10469169openalex-snapshot
Cultural Algorithms Unveiled: A Comparative Analysis for Anomaly Detection
inferred← citeshttps://doi.org/10.1109/otcon56053.2023.10114024openalex-snapshot
A Hybrid Method for Anomaly Detection Using Distance Deviation and Firefly Algorithm
inferred← citeshttps://doi.org/10.1145/3725216openalex-snapshot
Multi-Stage Enhanced Zero Trust Intrusion Detection System for Unknown Attack Detection in Internet of Things and Traditional Networks
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A systematic literature study of machine learning techniques based intrusion detection: datasets, models, challenges, and future directions
inferred← citeshttps://doi.org/10.21203/rs.3.rs-713566/v1openalex-snapshot
DLSTM-HHO: Enhanced Deep Learning Framework for Malware Detection at the Edge of the Iot System
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Safeguarding Connections: Machine Learning Powered Intrusion Detection
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Recognition of the parkinson’s disease using a hybrid feature selection approach
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Robust Attack Detection Approach for IIoT Using Ensemble Classifier
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Outdoor Node Localization Using Random Neural Networks for Large-Scale Urban IoT LoRa Networks
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Anomaly Detection of Control Moment Gyroscope Based on Working Condition Classification and Transfer Learning
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Meta-Heuristic Optimization Algorithm-Based Hierarchical Intrusion Detection System
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Performance Comparison and Current Challenges of Using Machine Learning Techniques in Cybersecurity
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Implementation of Lightweight Machine Learning-Based Intrusion Detection System on IoT Devices of Smart Homes
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Adaptive Artificial Bee Colony Algorithm for Nature-Inspired Cyber Defense
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A Dual Transformer-Based Deep Learning Model for Passenger Anomaly Behavior Detection in Elevator Cabs
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Explainable Intrusion Detection for Internet of Medical Things
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