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Securing Mobile Edge Computing Using Hybrid Deep Learning Method

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What this work says

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

inferredcites →https://doi.org/10.1002/ett.4150openalex-snapshot
Network intrusion detection system: A systematic study of machine learning and deep learning approaches
inferredcites →https://doi.org/10.1007/s10489-019-01436-1openalex-snapshot
An intelligent intrusion detection system
inferredcites →https://doi.org/10.1007/s11036-021-01843-0openalex-snapshot
Towards a Standard Feature Set for Network Intrusion Detection System Datasets
inferredcites →https://doi.org/10.1007/s40747-021-00637-xopenalex-snapshot
Feature dimensionality reduction: a review
inferredcites →https://doi.org/10.1016/j.asoc.2022.108768openalex-snapshot
A two-stage intrusion detection system with auto-encoder and LSTMs
inferredcites →https://doi.org/10.1016/j.comcom.2021.05.024openalex-snapshot
Internet of Things attack detection using hybrid Deep Learning Model
inferredcites →https://doi.org/10.1016/j.compeleceng.2022.107764openalex-snapshot
An intelligent and efficient network intrusion detection system using deep learning
inferredcites →https://doi.org/10.1016/j.cose.2020.101851openalex-snapshot
Building Auto-Encoder Intrusion Detection System based on random forest feature selection
inferredcites →https://doi.org/10.1016/j.jisa.2021.102804openalex-snapshot
Attack classification of an intrusion detection system using deep learning and hyperparameter optimization
inferredcites →https://doi.org/10.1016/j.jksuci.2019.09.001openalex-snapshot
An efficient predictive analytics system for high dimensional big data
inferredcites →https://doi.org/10.1016/j.neucom.2015.08.104openalex-snapshot
Auto-encoder based dimensionality reduction
inferredcites →https://doi.org/10.1016/j.neucom.2019.11.016openalex-snapshot
A novel statistical analysis and autoencoder driven intelligent intrusion detection approach
inferredcites →https://doi.org/10.1016/j.patcog.2021.107988openalex-snapshot
Feature selection with kernelized multi-class support vector machine
inferredcites →https://doi.org/10.1051/e3sconf/202018401052openalex-snapshot
A Survey of DDOS Attacks Using Machine Learning Techniques
inferredcites →https://doi.org/10.1109/access.2021.3097247openalex-snapshot
Deep Learning-Based Intrusion Detection Systems: A Systematic Review
inferredcites →https://doi.org/10.1109/aicai.2019.8701238openalex-snapshot
Analysis and Detection of DDoS Attacks on Cloud Computing Environment using Machine Learning Techniques
inferredcites →https://doi.org/10.1109/comnet47917.2020.9306073openalex-snapshot
A Deep Learning Approach Combining Autoencoder with One-class SVM for DDoS Attack Detection in SDNs
inferredcites →https://doi.org/10.1109/csnt51715.2021.9509634openalex-snapshot
Detection of DDoS Attacks in Software Defined Network using Decision Tree
inferredcites →https://doi.org/10.1109/iccmc.2019.8819775openalex-snapshot
A Study on Single and Multi-layer Perceptron Neural Network
inferredcites →https://doi.org/10.1109/jiot.2022.3196942openalex-snapshot
An Efficient Hybrid-DNN for DDoS Detection and Classification in Software-Defined IIoT Networks
inferredcites →https://doi.org/10.1109/mwc.2018.1700291openalex-snapshot
Security in Mobile Edge Caching with Reinforcement Learning
inferredcites →https://doi.org/10.1109/noms47738.2020.9110343openalex-snapshot
Intrusion Detection System using Semi-Supervised Learning with Adversarial Auto-encoder
inferredcites →https://doi.org/10.1109/sitis.2019.00097openalex-snapshot
Autoencoder Based Dimensionality Reduction of Feature Vectors for Object Recognition
inferredcites →https://doi.org/10.1109/smartcomp.2017.7946998openalex-snapshot
DeepDefense: Identifying DDoS Attack via Deep Learning
inferredcites →https://doi.org/10.1109/tip.2016.2570569openalex-snapshot
Dimension Reduction With Extreme Learning Machine
inferredcites →https://doi.org/10.1109/tpami.2023.3292075openalex-snapshot
Transfer Learning in Deep Reinforcement Learning: A Survey
inferredcites →https://doi.org/10.1109/wowmom49955.2020.00072openalex-snapshot
DDoSNet: A Deep-Learning Model for Detecting Network Attacks
inferredcites →https://doi.org/10.23919/indiacom54597.2022.9763261openalex-snapshot
A Review on Machine Learning based Security Approaches in Intrusion Detection System
inferredcites →https://doi.org/10.3103/s0146411619050043openalex-snapshot
Detecting DDoS Attacks Using Machine Learning Techniques and Contemporary Intrusion Detection Dataset
inferredcites →https://doi.org/10.3390/app112411634openalex-snapshot
Efficient Detection of DDoS Attacks Using a Hybrid Deep Learning Model with Improved Feature Selection
inferredcites →https://doi.org/10.3390/app9204221openalex-snapshot
AE-CGAN Model based High Performance Network Intrusion Detection System

What points at this work

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

inferred← citeshttps://doi.org/10.1002/cpe.70448openalex-snapshot
A Chaotic Model‐Based Dynamic Resource Allocation and Adaptive Task Offloading With Lightweight Encryption in Multi‐Access Edge Computing
inferred← citeshttps://doi.org/10.1007/978-3-032-08784-3_4openalex-snapshot
Automated Intrusion Detection System Leveraging Dynamic Computational Intelligence Algorithms
inferred← citeshttps://doi.org/10.1007/978-3-032-18346-0_56openalex-snapshot
Challenges and Advancements in Cyber-Physical Power Systems: A Deep Learning and Quantum Encryption Perspective
inferred← citeshttps://doi.org/10.1007/978-981-96-5006-4_11openalex-snapshot
Research on DDoS Attack Detection Model Based on Transformer Architecture
inferred← citeshttps://doi.org/10.1007/s10462-025-11346-zopenalex-snapshot
Deep learning for intrusion detection in emerging technologies: a comprehensive survey and new perspectives
inferred← citeshttps://doi.org/10.1007/s10586-025-05693-3openalex-snapshot
Improving prediction accuracy in serverless edge computing using a federated learning
inferred← citeshttps://doi.org/10.1007/s12083-025-02028-2openalex-snapshot
An in-depth analysis of computation offloading approaches in multi-access edge computing systems
inferred← citeshttps://doi.org/10.1007/s42979-026-05043-zopenalex-snapshot
An Improved Ensemble Model to Enhance Cloud Network Behavioral Attack Detection
inferred← citeshttps://doi.org/10.1007/s44196-025-00930-4openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.asej.2025.103612openalex-snapshot
Leveraging osprey optimization algorithm with deep ensemble learning for cybersecurity in CPS environment
inferred← citeshttps://doi.org/10.1016/j.knosys.2025.113833openalex-snapshot
An intelligent zero-day attack detection system using unsupervised machine learning for enhancing cyber security
inferred← citeshttps://doi.org/10.1016/j.procs.2025.02.080openalex-snapshot
Securing mobile edge computing: A survey on cyber-physical threat mitigation for digital sovereignty
inferred← citeshttps://doi.org/10.1038/s41598-024-70544-xopenalex-snapshot
Prediction of android ransomware with deep learning model using hybrid cryptography
inferred← citeshttps://doi.org/10.1109/access.2024.3501192openalex-snapshot
Flexible and Lightweight Mitigation Framework for Distributed Denial-of-Service Attacks in Container-Based Edge Networks Using Kubernetes
inferred← citeshttps://doi.org/10.1109/access.2025.3533034openalex-snapshot
Power Controlled Resource Allocation and Task Offloading via Optimized Deep Reinforcement Learning in D2D Assisted Mobile Edge Computing
inferred← citeshttps://doi.org/10.1109/acit62805.2024.10876911openalex-snapshot
Design and Simulation of a Network Infrastructure for a Multi-Branch Organization Using Cisco Packet Tracer
inferred← citeshttps://doi.org/10.1109/acit62805.2024.10876972openalex-snapshot
Proactive Insider Threat Detection Using Facial and Behavioral Biometrics
inferred← citeshttps://doi.org/10.1109/acit62805.2024.10877037openalex-snapshot
COVID-19 Infection Detection in X-Ray Images Using Enhanced Image Segmentation and Machine Learning Models
inferred← citeshttps://doi.org/10.1109/acit62805.2024.10877163openalex-snapshot
Continuous Wavelet Transform Spectral Image Based Epileptic Episode Classification
inferred← citeshttps://doi.org/10.1109/acit62805.2024.10877181openalex-snapshot
Harnessing ML and NLP for Enhanced Cybersecurity: A Comprehensive Approach for Phishing Email Detection
inferred← citeshttps://doi.org/10.1109/acit62805.2024.10877191openalex-snapshot
Securing Internet of Vehicles IoV Communications: A Biometric and Hash-Key Derivation Function HKDF-Based Approach
inferred← citeshttps://doi.org/10.1109/acit62805.2024.10877210openalex-snapshot
Transformer-based Text Classification on Unified Bangla Multi-class Emotion Corpus
inferred← citeshttps://doi.org/10.1109/dsit61374.2024.10881802openalex-snapshot
An Efficient Dyanmic Data Auditing Scheme For Combat Cloud
inferred← citeshttps://doi.org/10.1109/icadaai64945.2026.11679229openalex-snapshot
A Hybrid Machine Learning Platform for Securing Edge Computing Environments: A Review
inferred← citeshttps://doi.org/10.1109/icca66035.2025.11431022openalex-snapshot
Machine Learning based Security Mechanism Against DDoS Attacks in Mobile Edge Computing
inferred← citeshttps://doi.org/10.1109/icoici65217.2025.11253276openalex-snapshot
Optimized VGG16-LSTM Hybrid Deep Learning Model for AI-Driven Cyber Threat Detection in Edge-based IIoT Environments
inferred← citeshttps://doi.org/10.1109/icsist70215.2026.11706382openalex-snapshot
A Deep Learning Approaches with Optimal Padding Advanced Encryption Standard for Web Platform Security Monitoring and Secure Data Transmission
inferred← citeshttps://doi.org/10.1109/sse62657.2024.00035openalex-snapshot
Dynamic Adaptive User Allocation in Mobile Edge Computing
inferred← citeshttps://doi.org/10.18196/jrc.v5i1.20895openalex-snapshot
Using Learning Focal Point Algorithm to Classify Emotional Intelligence
inferred← citeshttps://doi.org/10.31185/wjps.907openalex-snapshot
Hybrid CNN–LSTM Framework for DDoS Detection in 5G-Enabled IoT Environments
inferred← citeshttps://doi.org/10.32604/cmc.2025.065031openalex-snapshot
Addressing Modern Cybersecurity Challenges: A Hybrid Machine Learning and Deep Learning Approach for Network Intrusion Detection
inferred← citeshttps://doi.org/10.32604/cmes.2024.052112openalex-snapshot
Anomaly-Based Intrusion Detection Model Using Deep Learning for IoT Networks
inferred← citeshttps://doi.org/10.33830/isst.v4i1.5254openalex-snapshot
Enhancing QoS with Deep Learning:
inferred← citeshttps://doi.org/10.3390/app14166995openalex-snapshot
Extraction of Minimal Set of Traffic Features Using Ensemble of Classifiers and Rank Aggregation for Network Intrusion Detection Systems
inferred← citeshttps://doi.org/10.3390/math12091294openalex-snapshot
Improvement of Distributed Denial of Service Attack Detection through Machine Learning and Data Processing
inferred← citeshttps://doi.org/10.3390/nano15161289openalex-snapshot
Real-Time Cell Gap Estimation in LC-Filled Devices Using Lightweight Neural Networks for Edge Deployment
inferred← citeshttps://doi.org/10.3390/network5020016openalex-snapshot
A Survey on Software Defined Network-Enabled Edge Cloud Networks: Challenges and Future Research Directions
inferred← citeshttps://doi.org/10.3991/ijoe.v20i08.49343openalex-snapshot
Development of a Prototype Global Positioning System Based Stick for Blind Patients
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A Survey of Advanced Intrusion Detection Systems Using Deep Learning in Cloud-Edge IoT Environments
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