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DDoS Attacks

https://doi.org/10.1201/b20614

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inferred← citeshttps://doi.org/10.1002/spy2.355openalex-snapshot

Botnet‐based IoT network traffic analysis using deep learning

inferred← citeshttps://doi.org/10.1007/978-3-030-36614-8_28openalex-snapshot

Statistical Distributions of Partial Correlators of Network Traffic Aggregated Packets for Distinguishing DDoS Attacks

inferred← citeshttps://doi.org/10.1007/978-3-030-46895-8_22openalex-snapshot

DDoS-Attacks Identification Based on the Methods of Traffic Dynamic Filtration and Bayesian Classification

inferred← citeshttps://doi.org/10.1007/978-3-030-67101-3_4openalex-snapshot

Statistical Properties and Modelling of DDoS Attacks

inferred← citeshttps://doi.org/10.1007/978-3-030-67241-6_12openalex-snapshot

Methodology Proposal for Proactive Detection of Network Anomalies in e-Learning System During the COVID-19 Scenario

inferred← citeshttps://doi.org/10.1007/978-3-030-96040-7_19openalex-snapshot

A Survey on DDoS Attacks on Network and Application Layer in IoT

inferred← citeshttps://doi.org/10.1007/978-3-031-30648-8_22openalex-snapshot

Preparing Traffic to Analyze the Dynamics of Its States by Method of Partial Correlations

inferred← citeshttps://doi.org/10.1007/978-981-10-6890-4_63openalex-snapshot

HLR_DDoS: A Low-Rate and High-Rate DDoS Attack Detection Method Using $$\alpha $$α-Divergence

inferred← citeshttps://doi.org/10.1007/978-981-13-1280-9_24openalex-snapshot

MaNaDAC: An Effective Alert Correlation Method

inferred← citeshttps://doi.org/10.1007/978-981-96-5223-5_45openalex-snapshot

Network DDOS Attacks Using Convolutional Neural Networks with CNN + LSTM for Improving Accuracy

inferred← citeshttps://doi.org/10.1007/978-981-99-4844-4_9openalex-snapshot

Pandemic Speed: Accelerating Innovation in Cyber Security

inferred← citeshttps://doi.org/10.1007/s10586-024-04407-5openalex-snapshot

P4httpGuard: detection and prevention of slow-rate DDoS attacks using machine learning techniques in P4 switch

inferred← citeshttps://doi.org/10.1007/s11036-021-01789-3openalex-snapshot

Methodology for Detecting Cyber Intrusions in e-Learning Systems during COVID-19 Pandemic

inferred← citeshttps://doi.org/10.1007/s11042-020-10179-yopenalex-snapshot

LEAESN: Predicting DDoS attack in healthcare systems based on Lyapunov Exponent Analysis and Echo State Neural Networks

inferred← citeshttps://doi.org/10.1007/s11042-021-11859-zopenalex-snapshot

A detailed survey of denial of service for IoT and multimedia systems: Past, present and futuristic development

inferred← citeshttps://doi.org/10.1007/s11182-020-02070-yopenalex-snapshot

Formation of One-Dimensional Distributions of Values of Correlators of Network Traffic Aggregates

inferred← citeshttps://doi.org/10.1007/s11276-019-02043-1openalex-snapshot

Novel approach for detection of IoT generated DDoS traffic

inferred← citeshttps://doi.org/10.1007/s40031-020-00442-zopenalex-snapshot

DDoS Detection and Alleviation in IoT using SDN (SDIoT-DDoS-DA)

inferred← citeshttps://doi.org/10.1016/j.compag.2020.105476openalex-snapshot

Integrating blockchain and the internet of things in precision agriculture: Analysis, opportunities, and challenges

inferred← citeshttps://doi.org/10.1038/s41598-025-03868-xopenalex-snapshot

Distributed denial of service (DDoS) classification based on random forest model with backward elimination algorithm and grid search algorithm

inferred← citeshttps://doi.org/10.1063/5.0178997openalex-snapshot

Predict attacker behaviour on IDS with high accuracy using K-nearest neighbor algorithm

inferred← citeshttps://doi.org/10.1063/5.0258744openalex-snapshot

Detecting flooding attacks in distributed denial of service attacks using deep neural network compared with naive bayes

inferred← citeshttps://doi.org/10.1080/03772063.2019.1604173openalex-snapshot

A Complete Detection and Mitigation Framework to Protect a Network from DDoS Attacks

inferred← citeshttps://doi.org/10.1080/09720529.2020.1729505openalex-snapshot

Detection of application layer DDoS attacks using big data technologies

inferred← citeshttps://doi.org/10.1109/access.2020.2977112openalex-snapshot

A Low-Cost Distributed Denial-of-Service Attack Architecture

inferred← citeshttps://doi.org/10.1109/access.2021.3109490openalex-snapshot

Detection and Classification of DDoS Flooding Attacks on Software-Defined Networks: A Case Study for the Application of Machine Learning

inferred← citeshttps://doi.org/10.1109/icacrs55517.2022.10029249openalex-snapshot

Detection of Distributed Denial of Service Attack using Random Forest Algorithm

inferred← citeshttps://doi.org/10.1109/icccnt51525.2021.9579765openalex-snapshot

DDOS prevention in IoT

inferred← citeshttps://doi.org/10.1109/iceta51985.2020.9379155openalex-snapshot

One-parameter Methods for Recognizing DDoS Attacks

inferred← citeshttps://doi.org/10.1109/iceta54173.2021.9726543openalex-snapshot

Anomaly recognition in bursty IP traffic models

inferred← citeshttps://doi.org/10.1109/icssa.2017.19openalex-snapshot

Software-Based Platform for Education and Training of DDoS Attacks Using Virtual Networks

inferred← citeshttps://doi.org/10.1109/icssit53264.2022.9716454openalex-snapshot

DHL: Dynamic Honey Link for Identification of Asymmetric Attacks at Application Layer

inferred← citeshttps://doi.org/10.1109/ispa59904.2024.10536814openalex-snapshot

Enhancing Security and Privacy Measures in Internet of Things (IoT) Implementations

inferred← citeshttps://doi.org/10.1109/lt60077.2024.10469248openalex-snapshot

Comparative Study for Identifying and Categorizing DDoS Attacks

inferred← citeshttps://doi.org/10.1109/ncim59001.2023.10212626openalex-snapshot

An Autoencoder-Based Approach for DDoS Attack Detection Using Semi-Supervised Learning

inferred← citeshttps://doi.org/10.1109/noms47738.2020.9110372openalex-snapshot

DDoS Attacks Detection with AutoEncoder

inferred← citeshttps://doi.org/10.1109/telfor.2017.8249347openalex-snapshot

Network parameters applicable in detection of infrastructure level DDoS attacks

inferred← citeshttps://doi.org/10.1145/3703444openalex-snapshot

IoT Authentication Protocols: Challenges, and Comparative Analysis

inferred← citeshttps://doi.org/10.15439/2021f114openalex-snapshot

Matrix profile for DDoS attacks detection

inferred← citeshttps://doi.org/10.28925/2663-4023.2024.26.639openalex-snapshot

ANALYTICAL REVIEW OF MODELS AND SYSTEMS FOR NETWORK TRAFFIC CLASSIFICATION

inferred← citeshttps://doi.org/10.32604/cmc.2025.063139openalex-snapshot

Detecting and Mitigating Distributed Denial of Service Attacks in Software-Defined Networking

inferred← citeshttps://doi.org/10.3390/app142311465openalex-snapshot

REDUCE—A Tool Supporting Inconsistencies Reduction in the Decision-Making Process

inferred← citeshttps://doi.org/10.3390/info16090783openalex-snapshot

A Hybrid Framework for the Sensitivity Analysis of Software-Defined Networking Performance Metrics Using Design of Experiments and Machine Learning Techniques

inferred← citeshttps://doi.org/10.3390/math12010142openalex-snapshot

Machine Recognition of DDoS Attacks Using Statistical Parameters

inferred← citeshttps://doi.org/10.3390/s23010102openalex-snapshot

RAPT: A Robust Attack Path Tracing Algorithm to Mitigate SYN-Flood DDoS Cyberattacks

inferred← citeshttps://doi.org/10.3390/su12124945openalex-snapshot

Prevention and Fighting against Web Attacks through Anomaly Detection Technology. A Systematic Review

inferred← citeshttps://doi.org/10.3390/sym14112388openalex-snapshot

One-Parameter Statistical Methods to Recognize DDoS Attacks

inferred← citeshttps://doi.org/10.37398/jsr.2021.650523openalex-snapshot

Taxonomy of DDoS attacks and their defense mechanisms in IoT

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