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NetDiff: A Service-Guided Hierarchical Diffusion Model for Network Flow Trace Generation
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-030-87839-9_1openalex-snapshot
STAN: Synthetic Network Traffic Generation with Generative Neural Models
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Flow-based network traffic generation using Generative Adversarial Networks
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The Jensen-Shannon divergence
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Carbon emissions of 5G mobile networks in China
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A survey of network traffic generation
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Development of a Secure Traffic Analysis System to Trace Malicious Activities on Internal Networks
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Smartphone App Usage Analysis: Datasets, Methods, and Applications
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A Survey on Intent-Based Networking
inferredcites →https://doi.org/10.1109/icassp.2007.366913openalex-snapshot
Approximating the Kullback Leibler Divergence Between Gaussian Mixture Models
inferredcites →https://doi.org/10.1109/icc40277.2020.9148946openalex-snapshot
PacketCGAN: Exploratory Study of Class Imbalance for Encrypted Traffic Classification Using CGAN
inferredcites →https://doi.org/10.1109/iccv51070.2023.00355openalex-snapshot
Adding Conditional Control to Text-to-Image Diffusion Models
inferredcites →https://doi.org/10.1109/icmla.2019.00191openalex-snapshot
PcapGAN: Packet Capture File Generator by Style-Based Generative Adversarial Networks
inferredcites →https://doi.org/10.1109/ispa-bdcloud-sustaincom-socialcom48970.2019.00141openalex-snapshot
FLOWGAN:Unbalanced Network Encrypted Traffic Identification Method Based on GAN
inferredcites →https://doi.org/10.1109/ita.2014.6804281openalex-snapshot
Total variation distance and the distribution of relative information
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Digital Twin for Networking: A Data-Driven Performance Modeling Perspective
inferredcites →https://doi.org/10.1109/mtits.2015.7223248openalex-snapshot
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inferredcites →https://doi.org/10.1109/surv.2013.081313.00105openalex-snapshot
Network Innovation using OpenFlow: A Survey
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To What Extent We Repeat Ourselves? Discovering Daily Activity Patterns Across Mobile App Usage
inferredcites →https://doi.org/10.1109/tmc.2021.3098664openalex-snapshot
Understanding the Long-Term Evolution of Mobile App Usage
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Internet traffic classification using bayesian analysis techniques
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The Erlang model with non-poisson call arrivals
inferredcites →https://doi.org/10.1145/3419394.3423643openalex-snapshot
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inferredcites →https://doi.org/10.1145/3465481.3470067openalex-snapshot
pcapStego: A Tool for Generating Traffic Traces for Experimenting with Network Covert Channels
inferredcites →https://doi.org/10.1145/3544216.3544251openalex-snapshot
Practical GAN-based synthetic IP header trace generation using NetShare
inferredcites →https://doi.org/10.1145/3580305.3599511openalex-snapshot
Spatio-temporal Diffusion Point Processes
inferredcites →https://doi.org/10.1145/3580305.3599853openalex-snapshot
Large-scale Urban Cellular Traffic Generation via Knowledge-Enhanced GANs with Multi-Periodic Patterns
inferredcites →https://doi.org/10.1145/3581791.3597297openalex-snapshot
Demo: Scalable Digital Twin System for Mobile Networks with Generative AI
inferredcites →https://doi.org/10.1145/3589132.3625641openalex-snapshot
Towards Generative Modeling of Urban Flow through Knowledge-enhanced Denoising Diffusion
inferredcites →https://doi.org/10.1145/3626111.3628196openalex-snapshot
Generative, High-Fidelity Network Traces
inferredcites →https://doi.org/10.1145/3639037openalex-snapshot
NetDiffusion: Network Data Augmentation Through Protocol-Constrained Traffic Generation
inferredcites →https://doi.org/10.1145/956750.956777openalex-snapshot
Indexing multi-dimensional time-series with support for multiple distance measures
inferredcites →https://doi.org/10.1155/2020/7219659openalex-snapshot
Network Traffic Anomaly Detection Based on ML-ESN for Power Metering System
inferredcites →https://doi.org/10.1287/ijoc.15.1.42.15151openalex-snapshot
A Multicommodity Network-Flow Problem with Side Constraints on Paths Solved by Column Generation
inferredcites →https://doi.org/10.48550/arxiv.2102.07074openalex-snapshot
TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up
inferredcites →https://doi.org/10.48550/arxiv.2106.04399openalex-snapshot
Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation
inferredcites →https://doi.org/10.48550/arxiv.2107.03502openalex-snapshot
CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation
inferredcites →https://doi.org/10.5555/1855711.1855737openalex-snapshot
Behavioral clustering of HTTP-based malware and signature generation using malicious network traces
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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POSTER: DeePCAP: Enabling High-Fidelity and Cost-Efficient Archival Packet Trace Storage
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