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Zero-SAD: Zero-Shot Learning Using Synthetic Abnormal Data for Abnormal Behavior Detection on Private Cloud
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1016/j.compeleceng.2022.108519openalex-snapshot
Malicious insider threat detection using variation of sampling methods for anomaly detection in cloud environment
inferredcites →https://doi.org/10.1016/j.infsof.2023.107202openalex-snapshot
Zero-shot learning for requirements classification: An exploratory study
inferredcites →https://doi.org/10.1109/access.2021.3118297openalex-snapshot
Behavioral Based Insider Threat Detection Using Deep Learning
inferredcites →https://doi.org/10.1109/cloud49709.2020.00032openalex-snapshot
Deep Unsupervised Workload Sequence Anomaly Detection with Fusion of Spatial and Temporal Features in the Cloud
inferredcites →https://doi.org/10.1109/cloud55607.2022.00039openalex-snapshot
Applying Value-Based Deep Reinforcement Learning on KPI Time Series Anomaly Detection
inferredcites →https://doi.org/10.1109/cvpr.2018.00450openalex-snapshot
Generalized Zero-Shot Learning via Synthesized Examples
inferredcites →https://doi.org/10.1109/cvpr52729.2023.01106openalex-snapshot
Zero-Shot Generative Model Adaptation via Image-Specific Prompt Learning
inferredcites →https://doi.org/10.1109/icassp40776.2020.9053558openalex-snapshot
Anomaly Detection for Time Series Using VAE-LSTM Hybrid Model
inferredcites →https://doi.org/10.1109/icassp43922.2022.9747341openalex-snapshot
Unsupervised Anomaly Detection for Container Cloud Via BILSTM-Based Variational Auto-Encoder
inferredcites →https://doi.org/10.1109/icppw.2010.45openalex-snapshot
The Characteristics of Cloud Computing
inferredcites →https://doi.org/10.1109/ispa-bdcloud-socialcom-sustaincom51426.2020.00151openalex-snapshot
Real-time detection of cloud tenant malicious behavior based on CNN
inferredcites →https://doi.org/10.1109/tc.2013.13openalex-snapshot
A Semantic Approach to Host-Based Intrusion Detection Systems Using Contiguousand Discontiguous System Call Patterns
inferredcites →https://doi.org/10.1109/tnnls.2020.3027736openalex-snapshot
A Spatiotemporal Deep Learning Approach for Unsupervised Anomaly Detection in Cloud Systems
inferredcites →https://doi.org/10.1109/tnsm.2022.3225753openalex-snapshot
Semi-Supervised Range-Based Anomaly Detection for Cloud Systems
inferredcites →https://doi.org/10.1109/tpami.2022.3191696openalex-snapshot
A Review of Generalized Zero-Shot Learning Methods
inferredcites →https://doi.org/10.1109/wcnc.2013.6555301openalex-snapshot
Generation of a new IDS test dataset: Time to retire the KDD collection
inferredcites →https://doi.org/10.1145/1219092.1219093openalex-snapshot
Deciding equivalences among conjunctive aggregate queries
inferredcites →https://doi.org/10.1145/3178876.3185996openalex-snapshot
Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications
What points at this work
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inferred← citeshttps://doi.org/10.1109/tcc.2026.3657486openalex-snapshot
Container-Specific Service Mesh-Based System for Mitigating Lateral Movement Attacks
inferred← citeshttps://doi.org/10.52783/jes.7882openalex-snapshot
Detecting Cloud Misconfigurations with RAG and Intelligent Agents: A Natural Language Understanding Approach
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