Skype Traffic Identification

Perényi, Marcell; Gefferth, András; Dang, Trang Dinh; Molnár, Sándor

doi:10.1109/glocom.2007.81

Cited by 18 publications

(7 citation statements)

References 5 publications

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“…Literature [3]- [5] research how to identify Skype traffic. However, these studies were only for audio calls, and not apply to video call traffic identification.…”

Section: Related Workmentioning

confidence: 99%

Video Call Traffic Identification based on Bayesian Model

Ying¹,

Huang²,

Wang³

et al. 2013

Proceedings of the 2nd International Conference on Systems Engineering and Modeling

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Abstract. This paper proposes Bayesian statistical method to identify the video traffic by the symmetrical features and coding statistical characteristics of video calls. According to the problem of high computational complexity of the non-parametric probability density estimate method in the condition of large samples, we propose grid probability density estimation method of gird division to reduce the computational complexity. We present identification results. The experimental results indicate that that this method can effectively detect video call traffic.

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“…Literature [3]- [5] research how to identify Skype traffic. However, these studies were only for audio calls, and not apply to video call traffic identification.…”

Section: Related Workmentioning

confidence: 99%

Video Call Traffic Identification based on Bayesian Model

Ying¹,

Huang²,

Wang³

et al. 2013

Proceedings of the 2nd International Conference on Systems Engineering and Modeling

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“…The identification method introduced in this paper has several advantages over our first version described in [1]. The identification process contains basically two steps in both methods: discovering candidate Skype hosts first, then searching for voice calls.…”

Section: Skype Identificationmentioning

confidence: 99%

“…However, the first steps are significantly different. In the first method [1] only the IP addresses of the hosts could be identified -based on connections initiated by the hosts towards other dedicated Skype servers, in addition to a special signaling flow between the host and the SN.…”

Section: Skype Identificationmentioning

confidence: 99%

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Enhanced Skype Traffic Identification

Perényi¹,

Molnár²

2007

Proceedings of the 2nd International ICST Conference on Performance Evaluation Methodologies and Tools

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Skype applies strong encryption to provide secure communication inside the whole Skype network. The communication ports of clients are chosen randomly. As a consequence, traditional port based or payload based identification of Skype traffic cannot be applied. In this paper we present a novel flow dynamics based identification method to discover both Skype hosts and voice calls. The method is based only on packet headers and extracted flow level information. This method is the second algorithm from our research. It has a significant improvement over our first method [1]. It can detect the randomly selected communication port of the Skype client, which makes the identification more reliable. The whole identification process is scripted in Transact-SQL, thus it can be executed automatically. We also present the validation of the new algorithm together with the analysis of the identification results.

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“…[138] reveals many details about the Skype protocols and internals, including the Skype encryption and the techniques to circumvent NAT and firewall limitations. [139] and [140] investigate the identification methods to discover Skype hosts and voice calls. Skype traffic is characterized, identified and analyzed in [141] and [142].…”

Section: Skype Servicementioning

confidence: 99%

Consumer-Oriented Incoming Call Connection Service for a Ubiquitous Consumer Wireless World

Ганчев

O’Dróma

Wang

2008

Wireless Pers Commun

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This thesis proposes a novel consumer-oriented Incoming Call Connection (ICC) service as an important enabling infrastructural component of the recently proposed ubiquitous consumer wireless world (UCWW), a new Consumer-centric Business Model (CBM) environment for wireless communications. The ICC solution proposed here will be offered by third-party providers who are autonomous of the access network providers. Compared to the present ICC service in the legacy subscriber-based networks, the consumeroriented ICC service will offer to mobile users greater flexibility and management control over incoming calls, enable users to receive incoming calls via multiple access networks/providers by means of a single identity, support user-driven, seamless, network-transparent Hot Access network Change (HAC), largely eliminate roaming charges and develop a new wireless networking business opportunity among other ben- Furthermore, the thesis elaborates a generic CBM-ICC service scenario, which shows how the CBM-ICC service offers to mobile users greater freedom and operation control over incoming calls, enables the novel attribute of users being empowered to receive incoming calls simultaneously, and otherwise, from various homogeneous and heterogeneous access networks, owned by the same or different providers, and enables user-driven HAC on active calls in keeping with, or matched to, user's Always Best Connected and Best Served (ABC&S) policies. A CBM-ICC proof-of-concept system-level testbed is implemented to perform experimental tests, probe different communications scenarios, evaluate the service performance, and further elaborate the service architecture. In this, approaches towards evaluating the performance of the CBM-ICC service based on designed testbed are elaborated, and sample numerical results are presented and analyzed. DeclarationThis thesis is presented in fulfillment of the requirements for the degree of Doctorate of Philosophy. This thesis has not been submitted to any other University or higher education institution, or for any other academic award in this University. Where use has been made of the work of other people it has been fully acknowledged and fully referenced. Signed:Date:Ohana means family.Family means nobody gets left behind, or forgotten.Dedicated to Mum, Dad and my wife.Without your love and support I would not be at this point today.Dedicated to the loving memory of my grandma.

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Skype Traffic Identification

Cited by 18 publications

References 5 publications

Video Call Traffic Identification based on Bayesian Model

Video Call Traffic Identification based on Bayesian Model

Enhanced Skype Traffic Identification

Consumer-Oriented Incoming Call Connection Service for a Ubiquitous Consumer Wireless World

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