<abstract xmlns="http://www.w3.org/1999/xhtml"><p> Voice over Internet Protocol (VoIP) is a family of technologies for the transmission of voice over Internet. Voice is converted into digital signals and transmitted as data packets. The Session Initiation Protocol (SIP) is an IETF protocol for VoIP and other multimedia. SIP is an application layer protocol for creating, modifying and terminating sessions in VoIP communications. Since SIP is a more flexible and simple protocol, it is quite easy to add features to it. </p><p>Distributed Denial of Service Attack (DDoS) floods the server with numerous requests from various hosts. Hence, the legitimate clients will not be able to get their intended services. A major concern in VoIP and almost in all network domains is availability rather than data consistency. Most of the surviving techniques could prevent VoIP network only after collision. This paper proposes a Recurrence Quantification based approach to detect and prevent VoIP from a DDoS attack. This model detects the attack at an earlier stage and also helps to prevent from further attacks. In addition, this techniques enables the efficient utilization of resources. QUALNET has been used to simulate the operation of the proposed technology.</p></abstract>

Voice over Internet Protocol (VoIP) is a family of technologies for the transmission of voice over Internet. Voice is converted into digital signals and transmitted as data packets. The Session Initiation Protocol (SIP) is an IETF protocol for VoIP and other multimedia. SIP is an application layer protocol for creating, modifying and terminating sessions in VoIP communications. Since SIP is a more flexible and simple protocol, it is quite easy to add features to it. Distributed Denial of Service Attack (DDoS) floods the server with numerous requests from various hosts. Hence, the legitimate clients will not be able to get their intended services. A major concern in VoIP and almost in all network domains is availability rather than data consistency. Most of the surviving techniques could prevent VoIP network only after collision. This paper proposes a Recurrence Quantification based approach to detect and prevent VoIP from a DDoS attack. This model detects the attack at an earlier stage and also helps to prevent from further attacks. In addition, this techniques enables the efficient utilization of resources. QUALNET has been used to simulate the operation of the proposed technology.

Rqa based approach to detect and prevent ddos attacks in voip networks

School of Information Technology and Engineering, VIT University, Vellore -632014, Tamilnadu, India

Cybernetics and Information Technologies

This article is distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

{"article-title":"Rqa based approach to detect and prevent ddos attacks in voip networks"}

Voice over Internet Protocol (VoIP) is a family of technologies for the transmission of voice over Internet. Voice is converted into digital signals and...

Rqa based approach to detect and prevent ddos attacks in voip networks

Online veröffentlicht: 09. Apr. 2014

Seitenbereich: 11 - 24

DOI: https://doi.org/10.2478/cait-2014-0002

Schlüsselwörter
VoIP, SIP, Distributed denial-of-service attacks, Recurrence Quantification Analysis

© by N. Jeyanthi

This article is distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Rqa based approach to detect and prevent ddos attacks in voip networks

Online veröffentlicht: 09. Apr. 2014

Seitenbereich: 11 - 24

DOI: https://doi.org/10.2478/cait-2014-0002

SchlüsselwörterVoIP, SIP, Distributed denial-of-service attacks, Recurrence Quantification Analysis

© by N. Jeyanthi

This article is distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Schlüsselwörter
VoIP, SIP, Distributed denial-of-service attacks, Recurrence Quantification Analysis