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Machine Learning Based DDoS Attack Detection from Source Side in Cloud
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/wcm.1203openalex-snapshot
A survey of mobile cloud computing: architecture, applications, and approaches
inferredcites →https://doi.org/10.1007/978-3-540-45080-1_38openalex-snapshot
Detecting Distributed Denial of Service (DDoS) Attacks through Inductive Learning
inferredcites →https://doi.org/10.1016/j.ins.2007.03.025openalex-snapshot
A hybrid machine learning approach to network anomaly detection
inferredcites →https://doi.org/10.1109/icc.2003.1204223openalex-snapshot
Protection from distributed denial of service attacks using history-based IP filtering
inferredcites →https://doi.org/10.1109/icnp.2002.1181418openalex-snapshot
Attacking DDoS at the source
inferredcites →https://doi.org/10.1109/infocom.2006.127openalex-snapshot
DDoS-Resilient Scheduling to Counter Application Layer Attacks Under Imperfect Detection
inferredcites →https://doi.org/10.1109/inm.2001.918069openalex-snapshot
Proactive detection of distributed denial of service attacks using MIB traffic variables-a feasibility study
inferredcites →https://doi.org/10.1109/secpri.2003.1199330openalex-snapshot
Pi: a path identification mechanism to defend against DDoS attacks
inferredcites →https://doi.org/10.1109/surv.2013.031413.00127openalex-snapshot
A Survey of Defense Mechanisms Against Distributed Denial of Service (DDoS) Flooding Attacks
inferredcites →https://doi.org/10.1145/967900.967989openalex-snapshot
Naive Bayes vs decision trees in intrusion detection systems
inferredcites →https://doi.org/10.21236/ada401819openalex-snapshot
MULTOPS: A Data-Structure for Bandwidth Attack Detection
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Approach to Machine Learning for Secured Cloud Computing
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Prediction of DDoS Attacks Using Machine Learning Algorithms Based on Classification Technique
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Next-Generation Cloud Security Paradigm: Orchestrating Cutting-Edge Machine Learning for DDoS Attack Detection Through Robust Optimization Algorithm
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Machine Learning-Based DDoS Attack Detection Using Support Vector Machine
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ML-Based DDoS Detection and Identification Using Native Cloud Telemetry Macroscopic Monitoring
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Defensive mechanism against DDoS attack based on feature selection and multi-classifier algorithms
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Detection of HTTP DDoS Attacks Using NFStream and TensorFlow
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Cyber Environment Test Framework for Simulating Command and Control Attack Methods with Reinforcement Learning
inferred← citeshttps://doi.org/10.3390/app9204396openalex-snapshot
Machine Learning and Deep Learning Methods for Intrusion Detection Systems: A Survey
inferred← citeshttps://doi.org/10.3390/cryptography8030030openalex-snapshot
Improve Parallel Resistance of Hashcash Tree
inferred← citeshttps://doi.org/10.3390/electronics10172105openalex-snapshot
On the Detection of Low-Rate Denial of Service Attacks at Transport and Application Layers
inferred← citeshttps://doi.org/10.3390/en15217882openalex-snapshot
A BiLSTM-Based DDoS Attack Detection Method for Edge Computing
inferred← citeshttps://doi.org/10.3390/info10110337openalex-snapshot
A Botnets Circumspection: The Current Threat Landscape, and What We Know So Far
inferred← citeshttps://doi.org/10.3390/s23084018openalex-snapshot
Information Security Threats and Working from Home Culture: Taxonomy, Risk Assessment and Solutions
inferred← citeshttps://doi.org/10.34117/bjdv10n1-022openalex-snapshot
Mitigating DDoS attacks in cloud computing using machine learning algorithms
inferred← citeshttps://doi.org/10.35940/ijrte.e5217.019521openalex-snapshot
DDoS Attack Detection and Classification using Machine Learning Models with Real Time Dataset Created
inferred← citeshttps://doi.org/10.36948/ijfmr.2023.v05i04.4618openalex-snapshot
Accuracy And Performance Enhancement In Machine Learning Approach For Cloud Application
inferred← citeshttps://doi.org/10.38124/ijisrt/25jul1313openalex-snapshot
Enhancing Cloud Security with Fuzzy Logic a Comprehensive Approach to Authentication, Data Recovery, and Privateness
inferred← citeshttps://doi.org/10.3837/tiis.2019.05.023openalex-snapshot
Traffic Seasonality aware Threshold Adjustment for Effective Source-side DoS Attack Detection
inferred← citeshttps://doi.org/10.4018/978-1-5225-8176-5.ch095openalex-snapshot
Survey on DDoS Attacks and Defense Mechanisms in Cloud and Fog Computing
inferred← citeshttps://doi.org/10.4018/978-1-7998-3335-2.ch004openalex-snapshot
Detecting DDoS Attack
inferred← citeshttps://doi.org/10.4018/979-8-3693-1431-9.ch004openalex-snapshot
Enhancing Cloud Security
inferred← citeshttps://doi.org/10.4018/ijcac.2020070104openalex-snapshot
SCEF: A Model for Prevention of DDoS Attacks From the Cloud
inferred← citeshttps://doi.org/10.4018/ijesma.2018070104openalex-snapshot
Survey on DDoS Attacks and Defense Mechanisms in Cloud and Fog Computing
inferred← citeshttps://doi.org/10.4018/ijssci.309707openalex-snapshot
Detection of Distributed Denial of Service (DDoS) Attacks Using Computational Intelligence and Majority Vote-Based Ensemble Approach
inferred← citeshttps://doi.org/10.4218/etrij.2019-0156openalex-snapshot
Supervised learning‐based DDoS attacks detection: Tuning hyperparameters
inferred← citeshttps://doi.org/10.46338/ijetae0423_11openalex-snapshot
Software Defined Networking Based Detection of DDoS Attacks
inferred← citeshttps://doi.org/10.47992/ijcsbe.2581.6942.0078openalex-snapshot
Cyber Attacks Mitigation: Detecting Malicious Activities in Network Traffic – A Review of Literature
inferred← citeshttps://doi.org/10.48001/jocnv.2024.2210-15openalex-snapshot
Virtual Clouds, Real Threats: DDoS Attacks Reviewed and Mitigated
inferred← citeshttps://doi.org/10.48550/arxiv.2004.02876openalex-snapshot
Methods and Techniques for Dynamic Deployability of Software-Defined Security Services
inferred← citeshttps://doi.org/10.48550/arxiv.2012.06805openalex-snapshot
Filtering DDoS Attacks from Unlabeled Network Traffic Data Using Online Deep Learning
inferred← citeshttps://doi.org/10.48550/arxiv.2107.12612openalex-snapshot
Poisoning Online Learning Filters: DDoS Attacks and Countermeasures
inferred← citeshttps://doi.org/10.5120/ijca2021921027openalex-snapshot
Machine Learning for Securing SDN based 5G Network
inferred← citeshttps://doi.org/10.55454/rcsas.5.04.2025.003openalex-snapshot
Cloud and Artificial Intelligence: An Elaborative Relationship of Collaboration and Analysis
inferred← citeshttps://doi.org/10.55524/csistw.2024.12.1.6openalex-snapshot
A SURVEY PAPER ON FAULT TOLERANCE IN CLOUD COMPUTING ENVIRONMENT
inferred← citeshttps://doi.org/10.55559/jess.v1i2.587openalex-snapshot
Enhancing Machine Learning Model Security in Private Cloud Environments through Cryptographic Techniques
inferred← citeshttps://doi.org/10.56532/mjsat.v4i2.208openalex-snapshot
A Comparative Review on DDoS Attack Detection Using Machine Learning Techniques
inferred← citeshttps://doi.org/10.5753/sbseg_estendido.2020.19288openalex-snapshot
Exploring the use of machine learning outlier detection algorithms for DDoS identification
inferred← citeshttps://doi.org/10.5815/ijcnis.2022.01.05openalex-snapshot
Mitigation of DDOS and MiTM Attacks using Belief Based Secure Correlation Approach in SDN-Based IoT Networks
inferred← citeshttps://doi.org/10.5815/ijcnis.2023.02.04openalex-snapshot
Detecting Remote Access Network Attacks Using Supervised Machine Learning Methods
inferred← citeshttps://doi.org/10.5815/ijcnis.2023.04.06openalex-snapshot
Distributed Denial of Service Attack Detection Using Hyper Calls Analysis in Cloud
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