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Mining anomalies using traffic feature distributions

https://doi.org/10.1145/1090191.1080118
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What this work says

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

inferredcites →https://doi.org/10.1002/1099-128x(200005/06)14:3<105::aid-cem582>3.0.co;2-iopenalex-snapshot
Towards a standardized notation and terminology in multiway analysis
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Subspace approach to multidimensional fault identification and reconstruction
inferredcites →https://doi.org/10.1007/978-3-540-24693-0_86openalex-snapshot
Detecting Traffic Anomalies through Aggregate Analysis of Packet Header Data
inferredcites →https://doi.org/10.1080/00401706.1979.10489779openalex-snapshot
Control Procedures for Residuals Associated With Principal Component Analysis
inferredcites →https://doi.org/10.1109/90.929850openalex-snapshot
Deriving traffic demands for operational IP networks: methodology and experience
inferredcites →https://doi.org/10.1109/discex.2003.1194894openalex-snapshot
Statistical approaches to DDoS attack detection and response
inferredcites →https://doi.org/10.1109/icde.2004.1320103openalex-snapshot
Data mining for intrusion detection: techniques, applications and systems
inferredcites →https://doi.org/10.1109/noms.2004.1317747openalex-snapshot
A flow-based method for abnormal network traffic detection
inferredcites →https://doi.org/10.1109/secpri.2004.1301325openalex-snapshot
Fast portscan detection using sequential hypothesis testing
inferredcites →https://doi.org/10.1109/tse.1987.232894openalex-snapshot
An Intrusion-Detection Model
inferredcites →https://doi.org/10.1145/1005686.1005745openalex-snapshot
Combining routing and traffic data for detection of IP forwarding anomalies
inferredcites →https://doi.org/10.1145/1012888.1005697openalex-snapshot
Structural analysis of network traffic flows
inferredcites →https://doi.org/10.1145/1015467.1015492openalex-snapshot
Diagnosing network-wide traffic anomalies
inferredcites →https://doi.org/10.1145/1028788.1028802openalex-snapshot
Online identification of hierarchical heavy hitters
inferredcites →https://doi.org/10.1145/1028788.1028813openalex-snapshot
Characterization of network-wide anomalies in traffic flows
inferredcites →https://doi.org/10.1145/1080091.1080112openalex-snapshot
Profiling internet backbone traffic
inferredcites →https://doi.org/10.1145/505202.505215openalex-snapshot
Connection-level analysis and modeling of network traffic
inferredcites →https://doi.org/10.1145/511446.511485openalex-snapshot
Flash crowds and denial of service attacks
inferredcites →https://doi.org/10.1145/637201.637210openalex-snapshot
A signal analysis of network traffic anomalies
inferredcites →https://doi.org/10.1145/637201.637242openalex-snapshot
Observed structure of addresses in IP traffic
inferredcites →https://doi.org/10.1145/863955.863968openalex-snapshot
A framework for classifying denial of service attacks
inferredcites →https://doi.org/10.1145/863955.863972openalex-snapshot
Automatically inferring patterns of resource consumption in network traffic

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Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Unsupervised classification and characterization of honeypot attacks
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On Threshold Selection for Principal Component Based Network Anomaly Detection
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On the combined use of sketches and CUSUM for Anomaly Detection
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Smart grid communication network traffic anomaly detection based on entropy analysis
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A Scalable Real-Time Intrusion Detection System Using Honeypots and Hybrid Machine Learning Pipelines
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Combining Entropy Metrics and Autoencoder–LSTM Models for Lightweight Data Injection Detection in ROS 2
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Traffic feature distribution analysis based on exponentially weighted moving average
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An adaptive approach to network resilience: Evolving challenge detection and mitigation
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The Improved Model for Anomaly Detection Based on Clustering and Dividing of Flow
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Preprocessing Network Traffic using Topological Data Analysis for Data Poisoning Detection
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Design, Development and Implementation of a Network Intrusion Detection Tool for Air Traffic Management Systems
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Rigorous, Effortless and Timely Assessment of Cellular Network Changes
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A Novel Visualization Approach for Efficient Network-wide Traffic Monitoring
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Efficient anomaly detection and mitigation in software defined networking environment
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Using Machine Learning to Analyze Network Traffic Anomalies
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A novel method of network traffic anomaly detection
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Integrating Short History for Improving Clustering Based Network Traffic Anomaly Detection
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Sketching and Streaming Entropy via Approximation Theory
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Privacy-preserving anomaly detection across multi-domain networks
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Flooding attacks detection and victim identification over high speed networks
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Detection Accuracy of Network Anomalies Using Sampled Flow Statistics
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Identifying Anomalous Traffic Sources Using Flow Statistics
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Inferring Internet Worm Temporal Characteristics
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A Method of Detecting Network Anomalies in Cyclic Traffic
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A Distribution-Based Approach to Anomaly Detection and Application to 3G Mobile Traffic
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A2C: Anti-Attack Counters for Traffic Measurement
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Bringing Energy Aware Routing Closer to Reality with SDN Hybrid Networks
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Identifying Interest Flooding in Named Data Networking
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Emergence of DDoS resistant augmented Split architecture
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Bivariate Non-parametric Anomaly Detection
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A hardware-accelerated infrastructure for flexible sketch-based network traffic monitoring
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Joint Entropy Analysis Model for DDoS Attack Detection
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Agent-Based Network Intrusion Detection System
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An Ant Colony Optimization Algorithm for Solving the Multidimensional Knapsack Problems
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Network Intrusion Detection System using ML
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The Way of Machine Learning Based Solicit for Detecting Deceit in Online Based Transaction System with Security
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Dynamic application flow cluster based on traffic behavior distance
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Attacking the IDS learning processes
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A flow-based anomaly detection method using entropy and multiple traffic features
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PISA*: A System for Control of DDoS Attacks
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Using Session-Keystroke Mutual Information to Detect Self-Propagating Malicious Codes
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Combining wavelet analysis and CUSUM algorithm for network anomaly detection
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Anomaly detection in network traffic using Jensen-Shannon divergence
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NetFuse: Short-circuiting traffic surges in the cloud
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Apply nonlinear dimensionality reduction method to large-scale communication network traffic analysis
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Spatial correlation detection of DDoS attack
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A Taxonomy and Comparative Evaluation of Algorithms for Parallel Anomaly Detection
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Anomaly Detection in network traffic and role of wavelets
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Apply anomaly grey forecasting algorithm to cyberspace situation prediction
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Applying multiple time series data mining to large-scale network traffic analysis
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The case for heterogeneous WLAN environments for converged networks
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