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Inside packet sampling techniques: exploring modularity to enhance network measurements
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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/dac.2783openalex-snapshot
SEDP‐based detection of low‐rate DoS attacks
inferredcites →https://doi.org/10.1002/dac.2805openalex-snapshot
Flow‐oriented detection of low‐rate denial of service attacks
inferredcites →https://doi.org/10.1002/nem.1802openalex-snapshot
Exploiting packet‐sampling measurements for traffic characterization and classification
inferredcites →https://doi.org/10.1007/978-3-540-72990-7_60openalex-snapshot
Deterministic Versus Probabilistic Packet Sampling in the Internet
inferredcites →https://doi.org/10.1007/978-3-540-79232-1_7openalex-snapshot
Packet Sampling for Flow Accounting: Challenges and Limitations
inferredcites →https://doi.org/10.1007/978-3-642-00975-4_20openalex-snapshot
Empirical Evaluation of Hash Functions for PacketID Generation in Sampled Multipoint Measurements
inferredcites →https://doi.org/10.1007/s10559-008-9005-0openalex-snapshot
Adaptive sampling in measuring traffic parameters in a computer network using a fuzzy regulator and a neural network
inferredcites →https://doi.org/10.1016/j.comnet.2010.11.002openalex-snapshot
Analysis of the impact of sampling on NetFlow traffic classification
inferredcites →https://doi.org/10.1016/j.comnet.2013.07.023openalex-snapshot
A multiadaptive sampling technique for cost-effective network measurements
inferredcites →https://doi.org/10.1016/j.jnca.2010.01.003openalex-snapshot
Critical infrastructure protection: Resource efficient sampling to improve detection of less frequent patterns in network traffic
inferredcites →https://doi.org/10.1023/a:1012980307500openalex-snapshot
Adaptive Sampling for Network Management
inferredcites →https://doi.org/10.1109/cmc.2009.56openalex-snapshot
A Modified FLC Adaptive Sampling Method
inferredcites →https://doi.org/10.1109/comst.2014.2321898openalex-snapshot
Flow Monitoring Explained: From Packet Capture to Data Analysis With NetFlow and IPFIX
inferredcites →https://doi.org/10.1109/csndsp16145.2010.5580380openalex-snapshot
An adaptive statistical sampling technique for computer network traffic
inferredcites →https://doi.org/10.1109/icicse.2009.32openalex-snapshot
An Adaptive Traffic Sampling Method for Anomaly Detection
inferredcites →https://doi.org/10.1109/infcom.2007.207openalex-snapshot
Sampled Based Estimation of Network Traffic Flow Characteristics
inferredcites →https://doi.org/10.1109/infcom.2009.5062264openalex-snapshot
On Passive One-Way Loss Measurements Using Sampled Flow Statistics
inferredcites →https://doi.org/10.1109/infcom.2010.5462044openalex-snapshot
Two Samples are Enough: Opportunistic Flow-level Latency Estimation using NetFlow
inferredcites →https://doi.org/10.1109/infocom.2008.14openalex-snapshot
Accurate and Efficient Traffic Monitoring Using Adaptive Non-Linear Sampling Method
inferredcites →https://doi.org/10.1109/iscc.2014.6912467openalex-snapshot
Computational weight of network traffic sampling techniques
inferredcites →https://doi.org/10.1109/itc.2010.5608718openalex-snapshot
On the impact of sampling on traffic monitoring and analysis
inferredcites →https://doi.org/10.1109/lcn.1989.65244openalex-snapshot
Management of sampled real-time network measurements
inferredcites →https://doi.org/10.1109/mnet.2009.4804318openalex-snapshot
Network anomaly detection and classification via opportunistic sampling
inferredcites →https://doi.org/10.1109/nomsw.2007.22openalex-snapshot
Packet Loss Estimation Using Distributed Adaptive Sampling
inferredcites →https://doi.org/10.1109/softcom.2015.7314061openalex-snapshot
A modular sampling framework for flexible traffic analysis
inferredcites →https://doi.org/10.1145/1111572.1111579openalex-snapshot
Observations on Cisco sampled NetFlow
inferredcites →https://doi.org/10.1145/1177080.1177101openalex-snapshot
Impact of packet sampling on anomaly detection metrics
inferredcites →https://doi.org/10.1145/1177080.1177102openalex-snapshot
Is sampled data sufficient for anomaly detection?
inferredcites →https://doi.org/10.1145/1452520.1452550openalex-snapshot
Towards optimal sampling for flow size estimation
inferredcites →https://doi.org/10.1145/1644893.1644912openalex-snapshot
Sampling biases in network path measurements and what to do about it
inferredcites →https://doi.org/10.1145/167954.166256openalex-snapshot
Application of sampling methodologies to network traffic characterization
inferredcites →https://doi.org/10.1145/1966913.1966930openalex-snapshot
Boosting the scalability of botnet detection using adaptive traffic sampling
inferredcites →https://doi.org/10.1145/347057.347555openalex-snapshot
Trajectory sampling for direct traffic observation
inferredcites →https://doi.org/10.1145/511334.511376openalex-snapshot
Adaptive random sampling for load change detection
inferredcites →https://doi.org/10.1145/511399.511376openalex-snapshot
Adaptive random sampling for load change detection
inferredcites →https://doi.org/10.1145/948205.948228openalex-snapshot
Predicting resource usage and estimation accuracy in an IP flow measurement collection infrastructure
inferredcites →https://doi.org/10.1145/964725.633056openalex-snapshot
New directions in traffic measurement and accounting
inferredcites →https://doi.org/10.1214/088342304000000206openalex-snapshot
Sampling for Passive Internet Measurement: A Review
inferredcites →https://doi.org/10.17487/rfc2724openalex-snapshot
RTFM: New Attributes for Traffic Flow Measurement
inferredcites →https://doi.org/10.17487/rfc3176openalex-snapshot
InMon Corporation's sFlow: A Method for Monitoring Traffic in Switched and Routed Networks
inferredcites →https://doi.org/10.17487/rfc5102openalex-snapshot
Information Model for IP Flow Information Export
inferredcites →https://doi.org/10.17487/rfc5470openalex-snapshot
Architecture for IP Flow Information Export
inferredcites →https://doi.org/10.17487/rfc5474openalex-snapshot
A Framework for Packet Selection and Reporting
inferredcites →https://doi.org/10.17487/rfc5475openalex-snapshot
Sampling and Filtering Techniques for IP Packet Selection
inferredcites →https://doi.org/10.17487/rfc5477openalex-snapshot
Information Model for Packet Sampling Exports
inferredcites →https://doi.org/10.17487/rfc6183openalex-snapshot
IP Flow Information Export (IPFIX) Mediation: Framework
inferredcites →https://doi.org/10.17487/rfc6727openalex-snapshot
Definitions of Managed Objects for Packet Sampling
inferredcites →https://doi.org/10.17487/rfc7011openalex-snapshot
Specification of the IP Flow Information Export (IPFIX) Protocol for the Exchange of Flow Information
inferredcites →https://doi.org/10.17487/rfc7012openalex-snapshot
Information Model for IP Flow Information Export (IPFIX)
inferredcites →https://doi.org/10.3724/sp.j.1087.2010.00319openalex-snapshot
Adaptive sampling algorithm of network round-trip time
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/dac.4153openalex-snapshot
e‐LiteSense: Self‐adaptive energy‐aware data sensing in WSN environments
inferred← citeshttps://doi.org/10.1007/978-3-030-16184-2_36openalex-snapshot
An Ontology-Based Recommendation System for Context-Aware Network Monitoring
inferred← citeshttps://doi.org/10.1007/978-3-319-67380-6_10openalex-snapshot
Exploring SDN to Deploy Flexible Sampling-Based Network Monitoring
inferred← citeshttps://doi.org/10.1007/s00607-020-00840-7openalex-snapshot
Towards a holistic semantic support for context-aware network monitoring
inferred← citeshttps://doi.org/10.1016/j.comnet.2020.107213openalex-snapshot
A framework to classify heterogeneous Internet traffic with Machine Learning and Deep Learning techniques for satellite communications
inferred← citeshttps://doi.org/10.1016/j.cose.2025.104510openalex-snapshot
Network intrusion datasets: A survey, limitations, and recommendations
inferred← citeshttps://doi.org/10.1016/j.jnca.2021.103186openalex-snapshot
Machine learning based malicious payload identification in software-defined networking
inferred← citeshttps://doi.org/10.1109/comst.2018.2883147openalex-snapshot
Towards the Deployment of Machine Learning Solutions in Network Traffic Classification: A Systematic Survey
inferred← citeshttps://doi.org/10.1109/isncc58260.2023.10323987openalex-snapshot
Packet Filtering and Sampling for Efficient Slow Denial of Service Detection in Resource Scarce IoT Networks
inferred← citeshttps://doi.org/10.3390/technologies6010024openalex-snapshot
Fuzzy Logic and Regression Approaches for Adaptive Sampling of Multimedia Traffic in Wireless Computer Networks
inferred← citeshttps://doi.org/10.48550/arxiv.2101.00847openalex-snapshot
Machine Learning based Malicious Payload Identification in Software-Defined Networking
inferred← citeshttps://doi.org/10.56553/popets-2023-0099openalex-snapshot
Evaluating practical QUIC website fingerprinting defenses for the masses
inferred← citeshttps://doi.org/10.70675/e91dea47z30bez4773z8bc9za9fc6edc11e2openalex-snapshot
Classification techniques for the management of the ``Quality of Service'' in Satellite Communication systems
inferred← citeshttps://doi.org/10.7190/shu-thesis-00346openalex-snapshot
Hybrid computer network quality of service and experience: development and evaluation
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