On the public citation graph
Machine Learning for Anomaly Detection and Categorization in Multi-Cloud Environments
0 signed · 119 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/s10489-010-0263-yopenalex-snapshot
A cascaded classifier approach for improving detection rates on rare attack categories in network intrusion detection
inferredcites →https://doi.org/10.1016/j.cose.2011.12.012openalex-snapshot
Toward developing a systematic approach to generate benchmark datasets for intrusion detection
inferredcites →https://doi.org/10.1016/j.eswa.2009.05.029openalex-snapshot
Intrusion detection by machine learning: A review
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/10.1016/j.jnca.2012.05.003openalex-snapshot
A survey of intrusion detection techniques in Cloud
inferredcites →https://doi.org/10.1080/19393555.2015.1125974openalex-snapshot
The evaluation of Network Anomaly Detection Systems: Statistical analysis of the UNSW-NB15 data set and the comparison with the KDD99 data set
inferredcites →https://doi.org/10.1093/comjnl/bxt044openalex-snapshot
MLH-IDS: A Multi-Level Hybrid Intrusion Detection Method
inferredcites →https://doi.org/10.1109/34.574797openalex-snapshot
Feature selection: evaluation, application, and small sample performance
inferredcites →https://doi.org/10.1109/bigdatasecurity-hpsc-ids.2016.76openalex-snapshot
A Classification Algorithm Based on Ensemble Feature Selections for Imbalanced-Class Dataset
inferredcites →https://doi.org/10.1109/cube.2013.31openalex-snapshot
Intrusion Detection Using Random Forests Classifier with SMOTE and Feature Reduction
inferredcites →https://doi.org/10.1109/icaccct.2014.7019145openalex-snapshot
Increasing performance Of intrusion detection system using neural network
inferredcites →https://doi.org/10.1109/iccsnt.2013.6967147openalex-snapshot
Anomaly intrusion detection based on wavelet kernel LS-SVM
inferredcites →https://doi.org/10.1109/ice-ccn.2013.6528514openalex-snapshot
Multiple learning based classifiers using layered approach and Feature Selection for attack detection
inferredcites →https://doi.org/10.1109/milcis.2015.7348942openalex-snapshot
UNSW-NB15: a comprehensive data set for network intrusion detection systems (UNSW-NB15 network data set)
inferredcites →https://doi.org/10.1109/msp.2010.187openalex-snapshot
Side Channels in Cloud Services: Deduplication in Cloud Storage
inferredcites →https://doi.org/10.1109/pst.2011.5971980openalex-snapshot
Detecting P2P botnets through network behavior analysis and machine learning
inferredcites →https://doi.org/10.1109/tdsc.2012.20openalex-snapshot
Detecting and Resolving Firewall Policy Anomalies
inferredcites →https://doi.org/10.1109/tdsc.2013.6openalex-snapshot
Security and Privacy-Enhancing Multicloud Architectures
inferredcites →https://doi.org/10.1145/1167253.1167288openalex-snapshot
Decision tree classifier for network intrusion detection with GA-based feature selection
inferredcites →https://doi.org/10.1145/382912.382923openalex-snapshot
Testing Intrusion detection systems
inferredcites →https://doi.org/10.14257/ijsia.2013.7.6.36openalex-snapshot
Performance and Information Security Evaluation with Firewalls
inferredcites →https://doi.org/10.9734/bjast/2016/23668openalex-snapshot
IDS Using Machine Learning - Current State of Art and Future Directions
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/9781119764113.ch12openalex-snapshot
Machine Learning–Based Security in Cloud Database—A Survey
inferred← citeshttps://doi.org/10.1002/cpe.6646openalex-snapshot
Intrusion detection systems in the cloud computing: A comprehensive and deep literature review
inferred← citeshttps://doi.org/10.1002/cpe.6822openalex-snapshot
A systematic literature review of intrusion detection systems in the cloud‐based IoT environments
inferred← citeshttps://doi.org/10.1002/cpe.7848openalex-snapshot
Machine learning based secure and efficient task allocation in multi‐cloud
inferred← citeshttps://doi.org/10.1007/978-3-030-74753-4_3openalex-snapshot
Detection of Enumeration Attacks in Cloud Environments Using Infrastructure Log Data
inferred← citeshttps://doi.org/10.1007/978-3-031-10551-7_9openalex-snapshot
To Identify Malware Using Machine Learning Algorithms
inferred← citeshttps://doi.org/10.1007/978-3-031-29104-3_2openalex-snapshot
Applying Machine Learning Methods to Detect Abnormal User Behavior in a University Data Center
inferred← citeshttps://doi.org/10.1007/978-3-031-33743-7_49openalex-snapshot
Utilizing Machine Learning Algorithms for Effectively Detection IoT DDoS Attacks
inferred← citeshttps://doi.org/10.1007/978-3-031-54712-6_17openalex-snapshot
SecFlow: Adaptive Security-Aware Workflow Management System in Multi-cloud Environments
inferred← citeshttps://doi.org/10.1007/978-3-031-78544-3_13openalex-snapshot
Optimized Multi-cloud Service Orchestration in Cloud Computing
inferred← citeshttps://doi.org/10.1007/978-3-031-82733-4_5openalex-snapshot
Next-Generation Cloud Security Paradigm: Orchestrating Cutting-Edge Machine Learning for DDoS Attack Detection Through Robust Optimization Algorithm
inferred← citeshttps://doi.org/10.1007/978-3-031-90723-4_14openalex-snapshot
Strategic Deployment of Machine Learning in Combating Email Spam and Cyber Threats
inferred← citeshttps://doi.org/10.1007/978-3-031-99997-0_16openalex-snapshot
Cloud Security: A Model for Attack Detection and Prevention Using AI Technologies
inferred← citeshttps://doi.org/10.1007/978-3-032-02537-1_29openalex-snapshot
DDOS Attack Detection Using Machine Learning Technique in the Openstack Private Cloud Environment
inferred← citeshttps://doi.org/10.1007/978-981-16-0010-4_16openalex-snapshot
A Behavioural Network Traffic Novelty Detection for the Internet of Things Infrastructures
inferred← citeshttps://doi.org/10.1007/978-981-19-2828-4_45openalex-snapshot
A Generic Review on Anomaly Detection
inferred← citeshttps://doi.org/10.1007/978-981-33-6835-4_37openalex-snapshot
A Detailed Analysis on Intrusion Identification Mechanism in Cloud Computing and Datasets
inferred← citeshttps://doi.org/10.1007/978-981-33-6981-8_23openalex-snapshot
Data Protection Techniques Over Multi-cloud Environment—A Review
inferred← citeshttps://doi.org/10.1007/978-981-99-3250-4_42openalex-snapshot
Anomaly Detection Using Machine Learning Techniques: A Systematic Review
inferred← citeshttps://doi.org/10.1007/s00500-024-09795-9openalex-snapshot
Intrusion detection system and fuzzy ant colony optimization based secured routing in wireless sensor networks
inferred← citeshttps://doi.org/10.1007/s00521-021-06400-0openalex-snapshot
Asset criticality and risk prediction for an effective cybersecurity risk management of cyber-physical system
inferred← citeshttps://doi.org/10.1007/s10586-019-03031-yopenalex-snapshot
An anomaly-based framework for mitigating effects of DDoS attacks using a third party auditor in cloud computing environments
inferred← citeshttps://doi.org/10.1007/s10586-023-04055-1openalex-snapshot
Detect anomalies in cloud platforms by using network data: a review
inferred← citeshttps://doi.org/10.1007/s11227-024-06235-1openalex-snapshot
Elliptic curve encryption-based energy-efficient secured ACO routing protocol for wireless sensor networks
inferred← citeshttps://doi.org/10.1007/s11227-025-07212-yopenalex-snapshot
Machine learning- and deep learning-based anomaly detection in firewalls: a survey
inferred← citeshttps://doi.org/10.1007/s41870-025-02416-0openalex-snapshot
Intelligent network intrusion detection system using optimized deep CNN-LSTM with UNSW-NB15
inferred← citeshttps://doi.org/10.1007/s42979-021-00862-8openalex-snapshot
Addressing IT Capacity Management Concerns Using Machine Learning Techniques
inferred← citeshttps://doi.org/10.1063/5.0230499openalex-snapshot
Deep learning for cloud storage security: A systematic review
inferred← citeshttps://doi.org/10.1109/access.2021.3054129openalex-snapshot
Machine Learning for Cloud Security: A Systematic Review
inferred← citeshttps://doi.org/10.1109/access.2021.3083060openalex-snapshot
Machine Learning for Anomaly Detection: A Systematic Review
inferred← citeshttps://doi.org/10.1109/access.2021.3126834openalex-snapshot
Machine Learning in Network Anomaly Detection: A Survey
inferred← citeshttps://doi.org/10.1109/access.2022.3211313openalex-snapshot
Data Curation and Quality Evaluation for Machine Learning-Based Cyber Intrusion Detection
inferred← citeshttps://doi.org/10.1109/aitc.2019.8920897openalex-snapshot
Network Traffic Anomaly Detection based on Apache Spark
inferred← citeshttps://doi.org/10.1109/bdai56143.2022.9862656openalex-snapshot
A Hybrid Anomaly Detection Model Based on GANomaly in Cloud Environment
inferred← citeshttps://doi.org/10.1109/cascon66301.2025.00035openalex-snapshot
A Comparative Study of Feature Representations for CNN-Based Anomaly Detection in Microservices
inferred← citeshttps://doi.org/10.1109/cloudsummit54781.2022.00013openalex-snapshot
Machine Learning vs Deep Learning for Anomaly Detection and Categorization in Multi-cloud Environments
inferred← citeshttps://doi.org/10.1109/compsac.2018.00109openalex-snapshot
Load Prediction for Data Centers Based on Database Service
inferred← citeshttps://doi.org/10.1109/comst.2020.2982955openalex-snapshot
A Survey of Moving Target Defenses for Network Security
inferred← citeshttps://doi.org/10.1109/csnt57126.2023.10134589openalex-snapshot
Network Behavior Anomaly Detection using Decision Tree
inferred← citeshttps://doi.org/10.1109/delcon64804.2024.10866996openalex-snapshot
Exploring Machine Learning Techniques for Effective Anomaly Detection: A Comprehensive Review
inferred← citeshttps://doi.org/10.1109/icarc68737.2026.11453810openalex-snapshot
Adaptive Encryption Framework for Secure Server Communications
inferred← citeshttps://doi.org/10.1109/icccn.2019.8847179openalex-snapshot
Supervised Machine Learning Techniques for Efficient Network Intrusion Detection
inferred← citeshttps://doi.org/10.1109/icces48766.2020.9138009openalex-snapshot
Ensuring Anomaly-Aware Security Model for Dynamic Cloud Environment using Transfer Learning
inferred← citeshttps://doi.org/10.1109/icerect56837.2022.10060686openalex-snapshot
Challenges In Cloud Anomaly Detection Using Machine Learning Approaches
inferred← citeshttps://doi.org/10.1109/iciccs65191.2025.10984898openalex-snapshot
Threat Eye: Behavior Analytics for Cloud Security using ML
inferred← citeshttps://doi.org/10.1109/icict48043.2020.9112422openalex-snapshot
Comparative analysis of machine learning algorithms for identification of BOT attack on the Internet of Vehicles (IoV)
inferred← citeshttps://doi.org/10.1109/icicyta60173.2023.10428838openalex-snapshot
Comparison of Isolation Forest and One Class SVM in Anomaly Detection of Gas Pipeline Operation
inferred← citeshttps://doi.org/10.1109/icmla.2019.00211openalex-snapshot
Anomaly Detection using Supervised Learning and Multiple Statistical Methods
inferred← citeshttps://doi.org/10.1109/icoeca68095.2026.11485201openalex-snapshot
Artificial Intelligence based Behavior Adaptive Authentication Model in Solving Security Problems of Cloud Computing Systems
inferred← citeshttps://doi.org/10.1109/icscai61790.2024.10866911openalex-snapshot
Performance Exploration of ML Algorithms in Security Facets of Cloud Computing
inferred← citeshttps://doi.org/10.1109/icton59386.2023.10207370openalex-snapshot
Machine Learning for Real-Time Anomaly Detection in Optical Networks
inferred← citeshttps://doi.org/10.1109/icuis64676.2024.10866552openalex-snapshot
Cloud Data Anomaly Detection using Machine Learning
inferred← citeshttps://doi.org/10.1109/iecon.2018.8591454openalex-snapshot
A Framework for Evaluating Security in Multi-Cloud Environments
inferred← citeshttps://doi.org/10.1109/iscmi56532.2022.10068437openalex-snapshot
A Novel Framework for Secure Cloud Computing Based IDS Using Machine Learning Techniques
inferred← citeshttps://doi.org/10.1109/isncc52172.2021.9615656openalex-snapshot
Orthogonal variance-based feature selection for intrusion detection systems
inferred← citeshttps://doi.org/10.1109/itis53497.2021.9791596openalex-snapshot
Kohonen-SOM LOF Approach for Anomaly Detection
inferred← citeshttps://doi.org/10.1109/itms52826.2021.9615321openalex-snapshot
A Literature Review of Machine Learning Techniques for Cybersecurity in Data Centers
inferred← citeshttps://doi.org/10.1109/itms56974.2022.9937116openalex-snapshot
Classifier Selection for an Ensemble of Network Traffic Analysis Machine Learning Models
inferred← citeshttps://doi.org/10.1109/iwcmc.2019.8766544openalex-snapshot
Important Complexity Reduction of Random Forest in Multi-Classification Problem
inferred← citeshttps://doi.org/10.1109/iwcmc48107.2020.9148067openalex-snapshot
Iterative Per Group Feature Selection For Intrusion Detection
inferred← citeshttps://doi.org/10.1109/jiot.2021.3055937openalex-snapshot
ADEPT: Detection and Identification of Correlated Attack Stages in IoT Networks
inferred← citeshttps://doi.org/10.1109/lnet.2020.3016583openalex-snapshot
Safety Score as an Evaluation Metric for Machine Learning Models of Security Applications
inferred← citeshttps://doi.org/10.1109/netsoft51509.2021.9492633openalex-snapshot
Evaluating ML-based DDoS Detection with Grid Search Hyperparameter Optimization
inferred← citeshttps://doi.org/10.1109/smartcloud55982.2022.00010openalex-snapshot
Detecting and Classifying Incoming Traffic in a Secure Cloud Computing Environment Using Machine Learning and Deep Learning System
inferred← citeshttps://doi.org/10.1109/tnsm.2021.3075656openalex-snapshot
Machine Learning for NetFlow Anomaly Detection With Human-Readable Annotations
inferred← citeshttps://doi.org/10.1109/wcnc45663.2020.9120706openalex-snapshot
Weighted Trustworthiness for ML Based Attacks Classification
inferred← citeshttps://doi.org/10.1145/3442536.3442550openalex-snapshot
A Systematic Review on Anomaly Detection for Cloud Computing Environments
inferred← citeshttps://doi.org/10.1145/3721473openalex-snapshot
Proceedings of the 12th Workshop on Principles and Practice of Consistency for Distributed Data
inferred← citeshttps://doi.org/10.1145/3721473.3722140openalex-snapshot
Dynamic Distributed Shared Memory: When&How?
inferred← citeshttps://doi.org/10.1145/3797905.3800527openalex-snapshot
Mantis: Decoding HPC Telemetry Data for Robust System Prediction
inferred← citeshttps://doi.org/10.1155/2021/5557577openalex-snapshot
Improving the Performance of Machine Learning‐Based Network Intrusion Detection Systems on the UNSW‐NB15 Dataset
inferred← citeshttps://doi.org/10.1177/09217126251321146openalex-snapshot
Machine Learning Based Detection of Anomalous User Behavior in University Data Centers
inferred← citeshttps://doi.org/10.1177/30504554251321146openalex-snapshot
Machine Learning Based Detection of Anomalous User Behavior in University Data Centers
inferred← citeshttps://doi.org/10.1186/s12984-024-01322-zopenalex-snapshot
Intelligent systems for sitting posture monitoring and anomaly detection: an overview
inferred← citeshttps://doi.org/10.1186/s13635-019-0098-yopenalex-snapshot
Multi-layer intrusion detection system with ExtraTrees feature selection, extreme learning machine ensemble, and softmax aggregation
inferred← citeshttps://doi.org/10.12694/scpe.v22i4.1952openalex-snapshot
Trust Management in the World of Cloud Computing. Past Trends and Some New Directions
inferred← citeshttps://doi.org/10.21203/rs.3.rs-1692556/v1openalex-snapshot
Intrusion Detection System and Fuzzy Ant Colony Optimization based Secured Routing in Wireless Sensor Networks
inferred← citeshttps://doi.org/10.2139/ssrn.7069190openalex-snapshot
Securing Virtualized Environments: Threat Model, Attack Taxonomy, and Classification of Malware Detection Techniques
inferred← citeshttps://doi.org/10.21681/1994-1404-2023-1-62-71openalex-snapshot
DETECTING ABNORMAL BEHAVIOUR OF USERS OF DATA PROCESSING CENTRES OF HIGHER EDUCATION INSTITUTIONS
inferred← citeshttps://doi.org/10.21833/ijaas.2022.05.007openalex-snapshot
Detecting block ciphers generic attacks: An instance-based machine learning method
inferred← citeshttps://doi.org/10.3390/computers11120170openalex-snapshot
Meta-Heuristic Optimization Algorithm-Based Hierarchical Intrusion Detection System
inferred← citeshttps://doi.org/10.3390/electronics11142146openalex-snapshot
Self-Supervised Learning for Time-Series Anomaly Detection in Industrial Internet of Things
inferred← citeshttps://doi.org/10.3390/electronics12122650openalex-snapshot
Enhancing Industrial Cyber Security, Focusing on Formulating a Practical Strategy for Making Predictions through Machine Learning Tools in Cloud Computing Environment
inferred← citeshttps://doi.org/10.3390/fi10080076openalex-snapshot
SCADA System Testbed for Cybersecurity Research Using Machine Learning Approach
inferred← citeshttps://doi.org/10.3390/fi17120548openalex-snapshot
Defending the Distributed Skies: A Comprehensive Literature Review of the Arena of Multi-Cloud Environment
inferred← citeshttps://doi.org/10.3390/jsan12050067openalex-snapshot
Recursive Feature Elimination with Cross-Validation with Decision Tree: Feature Selection Method for Machine Learning-Based Intrusion Detection Systems
inferred← citeshttps://doi.org/10.3390/s21248364openalex-snapshot
Multi-Cloud Resource Management Techniques for Cyber-Physical Systems
inferred← citeshttps://doi.org/10.3390/s22228981openalex-snapshot
A Deep Learning Approach to Detect Anomalies in an Electric Power Steering System
inferred← citeshttps://doi.org/10.35940/ijeat.d1005.0484s19openalex-snapshot
Detection of Android Adwares by using Machine Learning Algorithms
inferred← citeshttps://doi.org/10.4018/979-8-3373-4252-8.ch004openalex-snapshot
Threat Detection in Multi-Cloud Environments
inferred← citeshttps://doi.org/10.4018/979-8-3693-1431-9.ch004openalex-snapshot
Enhancing Cloud Security
inferred← citeshttps://doi.org/10.46338/ijetae1122_15openalex-snapshot
Detection of Anomaly using Machine Learning: A Comprehensive Survey
inferred← citeshttps://doi.org/10.47164/ijngc.v16i1.1837openalex-snapshot
Anomaly Detection on AWS cloud by using Supervised Machine Learning
inferred← citeshttps://doi.org/10.51983/ajeat-2018.7.1.983openalex-snapshot
Task Scheduling Algorithm Based on Bacterial Foraging Optimization (BFO) in Cloud Computing
inferred← citeshttps://doi.org/10.70315/uloap.ulete.2022.003openalex-snapshot
Designing an Intelligent Cybersecurity Intrusion Identify Framework Using Advanced Machine Learning Models in Cloud Computing
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.