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Traffic Analysis Resistant Network (TARN) Anonymity Analysis
2019 IEEE 27th International Conference on Network Protocols (ICNP), 2019We proposed a Traffic Analysis Resistant Network (TARN) that randomizes IP addresses in a fashion similar to Frequency Hop Spread Spectrum (FHSS), allowing users to blend into background traffic. IP hopping alone is not enough. TARN may still be susceptible to side-channel analysis. To remove the vulnerabilities, we introduce a SDX-based solution.
Nathan Tusing +5 more
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Traffic multiplexing networks: queueing analysis
1999 Information Theory and Networking Workshop (Cat. No.99EX371), 2003Summary form only given. The multiplexer of independent inputs, each being regenerative ON-OFF, i.e. memoryless OFF and generally distributed ON has been recently resurrected in the limit M/G//spl infin/ and subexponentially tailed ON for the purpose of understanding the long range dependence and the self-similarity of the aggregation of heterogeneous ...
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FPGA Based Network Traffic Analysis Using Traffic Dispersion Patterns
2010 International Conference on Field Programmable Logic and Applications, 2010The problem of Network Traffic Classification (NTC) has attracted significant amount of interest in the research community, offering a wide range of solutions at various levels. The core challenge is in addressing high amounts of traffic diversity found in today's networks. The problem becomes more challenging if a quick detection is required as in the
Faisal Khan +2 more
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Academic computer network traffic statistical analysis
2012 2nd Baltic Congress on Future Internet Communications, 2012The article presents the statistical analysis results of an academic computer network traffic using the data gathered with NetFlow protocol. Results of the statistical analysis are presented in a visual manner which reveals the tendencies of computer network traffic distributions.
Eimantas Garsva +3 more
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A predictability analysis of network traffic
Computer Networks, 2002Abstract This paper assesses the predictability of network traffic by considering two metrics: (1) how far into the future a traffic rate process can be predicted with bounded error; (2) what the minimum prediction error is over a specified prediction time interval.
null Aimin Sang, null San-qi Li
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Traffic analysis for high speed networks
IEEE Global Telecommunications Conference GLOBECOM '91: Countdown to the New Millennium. Conference Record, 2002A description is presented of the use of time series analysis techniques to characterize aspects of traffic patterns in high-speed wide-area communication networks. One aspect relates to the possible periodic behavior of the traffic; another aspect relates to the bursts or spikes characteristic of traffic approaching the maximum load.
A.W. Bragg, W. Chou
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LCMON network traffic analysis
The Swinburne supercomputer (as of May 2007) consists of 145 x Dell Power Edge 1950 nodes, each containing 2 x quad core Clovertown processors @ 2.33 GHz 16 GB of RAM and 2 x 500 GB hard disks. LCMON 1.0 is a utility based on L3DGEWorld 2.1 which allows for real-time visualisation of the supercomputer cluster.openaire +1 more source
Network Traffic Analysis Using Wireshark
International Journal of Research Publication and Reviews, 2023Dr. B. KalaiSelvi, Aruna. K
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Towards Encrypted Network Traffic Analysis
Traffic analysis aims at extracting sensitive information from network traffic patterns, in particular in scenarios where network traffic is encrypted. Traffic analysis has been used to compromise anonymity in anonymous communication systems through various types of attacks, specifically, website fingerprinting (WF), and flow correlation.openaire +1 more source