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Machine-Learning-Based Darknet Traffic Detection System for IoT Applications

https://doi.org/10.3390/electronics11040556

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What this work says

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

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Machine Learning: Algorithms, Real-World Applications and Research Directions

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Internet of Things (IoT): A review of enabling technologies, challenges, and open research issues

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Shedding Light on the Dark Corners of the Internet: A Survey of Tor Research

inferredcites →https://doi.org/10.1080/23742917.2017.1321891openalex-snapshot

Comparison of machine-learning algorithms for classification of VPN network traffic flow using time-related features

inferredcites →https://doi.org/10.1109/access.2019.2924045openalex-snapshot

A Survey on IoT Security: Application Areas, Security Threats, and Solution Architectures

inferredcites →https://doi.org/10.1109/access.2020.3001350openalex-snapshot

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inferredcites →https://doi.org/10.1109/access.2021.3105000openalex-snapshot

DarkDetect: Darknet Traffic Detection and Categorization Using Modified Convolution-Long Short-Term Memory

inferredcites →https://doi.org/10.1109/aiiot52608.2021.9454168openalex-snapshot

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inferredcites →https://doi.org/10.1109/bibm47256.2019.8983101openalex-snapshot

Supervised Regression Study for Electron Microscopy Data

inferredcites →https://doi.org/10.1109/comst.2015.2497690openalex-snapshot

Darknet as a Source of Cyber Intelligence: Survey, Taxonomy, and Characterization

inferredcites →https://doi.org/10.1109/comst.2018.2844742openalex-snapshot

A Critical Review of Practices and Challenges in Intrusion Detection Systems for IoT: Toward Universal and Resilient Systems

inferredcites →https://doi.org/10.1109/comst.2020.2988293openalex-snapshot

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inferredcites →https://doi.org/10.1109/cscwd49262.2021.9437716openalex-snapshot

EZAC: Encrypted Zero-day Applications Classification using CNN and K-Means

inferredcites →https://doi.org/10.1109/cybersa.2018.8551395openalex-snapshot

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inferredcites →https://doi.org/10.1109/icaict.2016.7991732openalex-snapshot

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inferredcites →https://doi.org/10.1109/ismsit50672.2020.9254893openalex-snapshot

Classification of VPN Network Traffic Flow Using Time Related Features on Apache Spark

inferredcites →https://doi.org/10.1109/lanman.2019.8847113openalex-snapshot

Are Darknets All The Same? On Darknet Visibility for Security Monitoring

inferredcites →https://doi.org/10.1109/mc.2016.245openalex-snapshot

Fog Computing: Helping the Internet of Things Realize Its Potential

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DDoS in the IoT: Mirai and Other Botnets

inferredcites →https://doi.org/10.1109/mc.2017.62openalex-snapshot

Botnets and Internet of Things Security

inferredcites →https://doi.org/10.1109/mdat.2016.2526612openalex-snapshot

The Changing Computing Paradigm With Internet of Things: A Tutorial Introduction

inferredcites →https://doi.org/10.1109/mocast52088.2021.9493386openalex-snapshot

Darknet Traffic Classification using Machine Learning Techniques

inferredcites →https://doi.org/10.1109/tii.2020.2988870openalex-snapshot

Multilevel Identification and Classification Analysis of Tor on Mobile and PC Platforms

inferredcites →https://doi.org/10.1109/trustcom/bigdatase/icess.2017.254openalex-snapshot

Network Traffic Classification Using Tri-training Based on Statistical Flow Characteristics

inferredcites →https://doi.org/10.1109/trustcom50675.2020.00064openalex-snapshot

Traffic Classification of User Behaviors in Tor, I2P, ZeroNet, Freenet

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Boost‐Defence for resilient IoT networks: A head‐to‐toe approach

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Internet traffic classification using bayesian analysis techniques

inferredcites →https://doi.org/10.1145/1162678.1162679openalex-snapshot

Traffic classification using clustering algorithms

inferredcites →https://doi.org/10.1145/2382196.2382208openalex-snapshot

Enhancing Tor's performance using real-time traffic classification

inferredcites →https://doi.org/10.1145/3442520.3442521openalex-snapshot

DIDarknet: A Contemporary Approach to Detect and Characterize the Darknet Traffic using Deep Image Learning

inferredcites →https://doi.org/10.1155/2021/6633250openalex-snapshot

ETCC: Encrypted Two-Label Classification Using CNN

inferredcites →https://doi.org/10.1186/s42400-021-00077-7openalex-snapshot

A critical review of intrusion detection systems in the internet of things: techniques, deployment strategy, validation strategy, attacks, public datasets and challenges

inferredcites →https://doi.org/10.1587/transinf.2020edp7076openalex-snapshot

Real-Time Detection of Global Cyberthreat Based on Darknet by Estimating Anomalous Synchronization Using Graphical Lasso

inferredcites →https://doi.org/10.18653/v1/e17-1004openalex-snapshot

Classifying Illegal Activities on Tor Network Based on Web Textual Contents

inferredcites →https://doi.org/10.2197/ipsjjip.26.148openalex-snapshot

An Evaluation of Darknet Traffic Taxonomy

inferredcites →https://doi.org/10.29007/nkfkopenalex-snapshot

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inferredcites →https://doi.org/10.3389/fdata.2021.782902openalex-snapshot

Top-Down Machine Learning-Based Architecture for Cyberattacks Identification and Classification in IoT Communication Networks

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High Performance Classification Model to Identify Ransomware Payments for Heterogeneous Bitcoin Networks

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inferredcites →https://doi.org/10.3390/s22010241openalex-snapshot

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Characterization of Tor Traffic using Time based Features

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inferred← citeshttps://doi.org/10.35234/fumbd.1291388openalex-snapshot

Siber Güvenlikte CIC-Darknet2020 Veri Seti Kullanarak VPN/NoVPN ve Tor/NoTor Sınıflandırması: Basit ve Karmaşık Modellerin Kullanımı

inferred← citeshttps://doi.org/10.3934/era.2023175openalex-snapshot

Classification method for imbalanced LiDAR point cloud based on stack autoencoder

inferred← citeshttps://doi.org/10.3934/era.2023259openalex-snapshot

ODTC: An online darknet traffic classification model based on multimodal self-attention chaotic mapping features

inferred← citeshttps://doi.org/10.3934/mbe.2023670openalex-snapshot

CDBC: A novel data enhancement method based on improved between-class learning for darknet detection

inferred← citeshttps://doi.org/10.4018/978-1-6684-6914-9.ch011openalex-snapshot

Security in Internet of Things

inferred← citeshttps://doi.org/10.4018/978-1-6684-8218-6.ch005openalex-snapshot

Introduction to Dark Web

inferred← citeshttps://doi.org/10.4018/978-1-6684-8218-6.ch006openalex-snapshot

Introduction to Ransomware

inferred← citeshttps://doi.org/10.4018/979-8-3373-9755-9.ch015openalex-snapshot

Darknet Futures and Post-Quantum Security

inferred← citeshttps://doi.org/10.4236/jfrm.2024.134030openalex-snapshot

The Impact of Balanced Scorecard on Improving the Accuracy of Compliance Audit Predictions Through the Use of Machine Learning Techniques

inferred← citeshttps://doi.org/10.47852/bonviewjdsis3202966openalex-snapshot

DeepGram: Combining Language Transformer and N-Gram based ML Models for YouTube Spam Comment Detection

inferred← citeshttps://doi.org/10.52549/ijeei.v12i2.5543openalex-snapshot

Classification of Darknet Traffic Using the AdaBoost Classifier Method

inferred← citeshttps://doi.org/10.53730/ijhs.v6ns4.9457openalex-snapshot

DDoS attacks in cloud environment

inferred← citeshttps://doi.org/10.54392/irjmt24321openalex-snapshot

Botnet Attack Detection in IoT Devices using Ensemble Classifiers with Reduced Feature Space

inferred← citeshttps://doi.org/10.56919/usci.2541.024openalex-snapshot

Machine Learning Model for Predicting Rice Crop Yield: A Case Study in Hadejia and Auyo, Nigeria

inferred← citeshttps://doi.org/10.60097/dotpl/189286openalex-snapshot

Hidden Internet Resources and Terrorism

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