Traffic Classification Based on Zero-Length Packets

Kampeas, Joseph; Cohen, Asaf; Gurewitz, Omer

doi:10.1109/tnsm.2018.2825881

Cited by 26 publications

(13 citation statements)

References 22 publications

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“…reduce the complexity of pre-classification, we choose the decision tree C4.5, which is simple and fast, as the basic classifier. The performance of this algorithm has been verified in many network traffic classification studies [29][30][31].…”

Section: ) Multi-class Classifier and Classificationmentioning

confidence: 87%

Regression Based Dynamic Elephant Flow Detection in Airborne Network

Liu

Chen³

et al. 2020

IEEE Access

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Section: ) Multi-class Classifier and Classificationmentioning

confidence: 87%

Regression Based Dynamic Elephant Flow Detection in Airborne Network

Liu

Chen³

et al. 2020

IEEE Access

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“…Compared to the traditional machine learning research [17], current researches on encrypted traffic classification using machine learning approach produced various type of output that could be further analysed and refined. Study by [39], [40], [42], [43] managed to perform encrypted traffic classification that identify traffic with fine granularity output of information.…”

Section: Discussion and Comparisonmentioning

confidence: 99%

“…Another novel fingerprinting technique (through sampling of Application Protocol Data Units exchange patterns) for traffic classification has been proposed by [42]. The studied technique is simple to be implemented with minimal resource requirement.…”

Section: B Traffic Classification On Non-tor Networkmentioning

confidence: 99%

A Survey on Tor Encrypted Traffic Monitoring

Aminuddin¹,

Zaaba²,

Singh³

et al. 2018

ijacsa

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Tor (The Onion Router) is an anonymity tool that is widely used worldwide. Tor protect its user privacy against surveillance and censorship using strong encryption and obfuscation techniques which makes it extremely difficult to monitor and identify users' activity on the Tor network. It also implements strong defense to protect the users against traffic features extraction and website fingerprinting. However, the strong anonymity also became the heaven for criminal to avoid network tracing. Therefore, numerous of research has been performed on encrypted traffic analyzing and classification using machine learning techniques. This paper presents survey on existing approaches for classification of Tor and other encrypted traffic. There is preliminary discussion on machine learning approaches and Tor network. Next, there are comparison of the surveyed traffic classification and discussion on their classification properties.

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“…In the literature, studies have been conducted to address the issues of VNF placements [15]- [21] while others address the issues of traffic flow steering [22]- [26]. In [15], the authors develop algorithms for SFC routing, VNFI placement and migration based on the workload.…”

Section: Related Workmentioning

confidence: 99%

“…In the literature, several studies have been conducted to address the issues of VNF placements [15]- [21] while others address the issues of traffic flow steering [22]- [26]. The majority of the existing studies is proposed under the assumption of a perfect reliable NFV infrastructure.…”

Section: Introductionmentioning

confidence: 99%

An Efficient Reliability Guaranteed Deployment Scheme for Service Function Chains

Dinh

Kim

2019

IEEE Access

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This paper encloses an in-depth investigation of a novel cost-efficient reliability-guaranteed deployment scheme for service function chains (SFCs) to tackle the drawbacks of the existing studies for the virtual network function (VNF) redundancy allocation. We model the VNF redundancy allocation as a cost minimization problem using the integer linear programming (ILP). For the VNF redundancy allocation, we first examine various reliability importance measures in the system reliability theory for the VNF environments. We then propose a novel cost-aware criticality-based priority index (CCI) to evaluate the priority level of VNFs in the SFC level and the network level for the VNF redundancy allocation. Based on CCI, we design a cost-efficient VNF redundancy allocation algorithm, namely, CCI-RA. Through our comprehensive simulation and analysis results, we show that the proposed scheme achieves a significant improvement in terms of the cost efficiency, scalability, and the percentage of the admitted services compared to the existing approaches. INDEX TERMS Service function chaining, SFC deployment scheme, cost efficiency, on-demand requirement.

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Traffic Classification Based on Zero-Length Packets

Cited by 26 publications

References 22 publications

Regression Based Dynamic Elephant Flow Detection in Airborne Network

Regression Based Dynamic Elephant Flow Detection in Airborne Network

A Survey on Tor Encrypted Traffic Monitoring

An Efficient Reliability Guaranteed Deployment Scheme for Service Function Chains

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