Realistic Network Traffic Profile Generation: Theory and Practice

Varet, Antoine; Larrieu, Nicolas

doi:10.5539/cis.v7n2p1

Cited by 15 publications

(4 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…There are a couple of software tools of network traffic generating and these tools can be divided into the following four categories [3][4][5][6] [8][9][10]:…”

Section: The Methods Of Traffic Generatingmentioning

confidence: 99%

A new hybrid traffic generation model for Tactical Internet reliability test

Huang

Zhang

2015

2015 Annual Reliability and Maintainability Symposium (RAMS)

View full text Add to dashboard Cite

Tactical Internet (TI) is the communication infrastructure of tactical level maneuver warfare forces; its reliability directly affects the military combat. Therefore, in the TI reliability test, how to generate the appropriate network traffic and get the most accurate evaluation results should be an important part of the TI reliability test research.This paper analyzes the characteristics of applications and traffic in TI, and proposes a new hybrid traffic model which can reflect TI mission profile, to generate traffic for TI reliability test. Firstly, we research the current popular traffic generation technologies of network reliability test area, and point out their advantages and disadvantages. Secondly, according to the research result of traffic generation technologies, we propose a method for application traffic generation and combine it with background traffic generation method. Then the completed hybrid traffic model which includes application traffic generation method and background traffic method is proposed. Based on this traffic model, application traffic and background traffic are generated for TI reliability test and can get the most accurate reliability evaluation result. Finally, all the theories and models are verified by a case study. In the same case, we get the reliability test results by using hybrid traffic generation method and reliability simulation results by using OPNET, according to comparing both results, the ranges of reliability curves are same and the effectiveness of the method is proven. The profile of network reliability testThe purpose of task profile researching is supposing to 978-1-4799-6703-2/15/$31.00©2015 IEEE find a method of generating suitable traffic to carry out the network reliability test.About the task profile of network, the reliability profile usually includes work stress and environment stress [9]. For network reliability test, the work stress is performed on network traffic [15], in other words, the network traffic can reflect the users' behavior. Thus, in order to implement TI reliability test, we have to establish the reliability test profile from TI, and then break down the profile to network traffic, establish the traffic model, the last step is generating the property network traffic for network reliability test.The definition of "profile" is: a description of event, state, process function and the environment, so this kind of description is a timing description [1]. Hence, the task profile's definition in reliability area should be: A timing description of all necessary events and states that the products have to experience for completing the specify tasks. The task profile usually includes: the working status of products, maintenance program, working time and order of products, the environment time and order for products, the failure definition of the tasks. Now the current profile modeling methods of reliability test are focus on temperature, pressure and voltage of system components. But for some complex systems, it is very difficult to establish the p...

show abstract

“…There are a couple of software tools of network traffic generating and these tools can be divided into the following four categories [3][4][5][6] [8][9][10]:…”

Section: The Methods Of Traffic Generatingmentioning

confidence: 99%

A new hybrid traffic generation model for Tactical Internet reliability test

Huang

Zhang

2015

2015 Annual Reliability and Maintainability Symposium (RAMS)

View full text Add to dashboard Cite

show abstract

“…Comprehensive research is conducted across different domains to facilitate the selection of appropriate user behaviors. Drawing insights from previous works [48][49][50][51][52][53], here is a comprehensive list of behaviors: To ensure authenticity, the Firefox browser is used for this study. This choice is driven by its widespread usage, open-source nature, and reputation for user privacy and security features [54].…”

Section: Proposed Benign User Traffic Generatormentioning

confidence: 99%

Toward Generating a New Cloud-Based Distributed Denial of Service (DDoS) Dataset and Cloud Intrusion Traffic Characterization

Shafi,

Lashkari,

Rodriguez

et al. 2024

Information

View full text Add to dashboard Cite

The distributed denial of service attack poses a significant threat to network security. Despite the availability of various methods for detecting DDoS attacks, the challenge remains in creating real-time detectors with minimal computational overhead. Additionally, the effectiveness of new detection methods depends heavily on well-constructed datasets. This paper addresses the critical DDoS dataset creation and evaluation domain, focusing on the cloud network. After conducting an in-depth analysis of 16 publicly available datasets, this research identifies 15 shortcomings across various dimensions, emphasizing the need for a new approach to dataset creation. Building upon this understanding, this paper introduces a new public DDoS dataset named BCCC-cPacket-Cloud-DDoS-2024. This dataset is meticulously crafted, addressing challenges identified in previous datasets through a cloud infrastructure featuring over eight benign user activities and 17 DDoS attack scenarios. Also, a Benign User Profiler (BUP) tool has been designed and developed to generate benign user network traffic based on a normal user behavior profile. We manually label the dataset and extract over 300 features from the network and transport layers of the traffic flows using NTLFlowLyzer. The experimental phase involves identifying an optimal feature set using three distinct algorithms: ANOVA, information gain, and extra tree. Finally, this paper proposes a multi-layered DDoS detection model and evaluates its performance using the generated dataset to cover the main issues of the traditional approaches.

show abstract

“…For instance, in RNP topology (31 nodes, 34 edges), each controller can manage an average of five vSwitches, whereas in TataNld topology (145 nodes, 194 edges) each controller can handle an average of 28 vSwitches. The proposed migration model is deployed in the above testbed and monitored the behaviour using Iperf tool [22].…”

Section: Performance Evaluationmentioning

confidence: 99%

CAMD: a switch migration based load balancing framework for software defined networks

Sahoo

2019

IET Networks

View full text Add to dashboard Cite

Software defined networks (SDN) and OpenFlow (OF) technologies have brought a new form of network architecture that simplifies the network management through innovations and programmability. The controller of SDN architecture has an abstract view of the entire network that smoothly handles the underlying hardware devices. In SDN, the control messages (e.g. packet_in) arriving at the controller have the highest contribution of the controller's load. Upon exceeding a certain threshold of these messages, the response time of the controller increases due to the over memory and CPU utilisation. In this respect, the balancing of control messages is essential. To balance this control messages, migration of OF switches from an overloaded controller to an underloaded controller is a viable solution. However, such migration process has to perform with a well-designed mechanism, failed to this the process might increase the response time of the control events. Taking this into account, the authors introduce controller adaption and migration decision (CAMD) framework, a switch migration based load balancing strategy, which effectively selects both switch and target controller such that it affects the response time minimally. This efficient switch migration technique ensures better load balancing with reduced response time and improved end-user quality of services.

show abstract

Realistic Network Traffic Profile Generation: Theory and Practice

Cited by 15 publications

References 11 publications

A new hybrid traffic generation model for Tactical Internet reliability test

A new hybrid traffic generation model for Tactical Internet reliability test

Toward Generating a New Cloud-Based Distributed Denial of Service (DDoS) Dataset and Cloud Intrusion Traffic Characterization

CAMD: a switch migration based load balancing framework for software defined networks

Contact Info

Product

Resources

About