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One-class support vector machines (OCSVM) have been recently applied to detect anomalies in wireless sensor networks (WSNs). Typically, OCSVM is kernelized by radial bais functions (RBF, or Gausian kernel) whereas selecting Gaussian kernel hyperparameter is based upon availability of anomalies, which is rarely applicable in practice. This article investigates the application of OCSVM to detect anomalies...
OpenFlow/Software-Defined Networking (SDN) is a new networking paradigm that virtualizes network infrastructure by decoupling the control and data plane logic of traditional network devices. The controller of SDN has the overall look about network topology and hence provides flexibility to network operators to implement its own routing approaches. However, it could not control the way client works...
The increasing use of high-quality Cloud-based services makes Cloud providers provide their customers with a higher quality for every service. In which, Service Level Agreements (SLAs) between users and Cloud providers become a key factor which is carefully considered before running any service or application. Thus, Cloud providers always deal with the challenge of quality of service (QoS), especially...
In this paper, we propose an optimized protection mechanism (OpenFlowSIA) for Software-Defined Networks from flooding attacks (Distributed Denial-of-Service) based on Support Vector Machine and our proposed algorithm called the Idle-timeout Adjustment (IA). Our methodology not only utilizes SVM advantages in classification such as high accuracy and little processing time, but also applies effectively...
Software-Defined Networking (SDN) has become a promising network architecture in which network devices are controlled by a SDN Controller. Employing SDN offers an attractive solution for network security. However the attack prediction and Prevention, especially for Distributed Denial of Service (DDoS) attacks is a challenge in SDN environments. This paper, analyzes the characteristics of traffic flows...
Nowadays a big effort has been paid to make energy-efficient Data Center Networks (DCNs). There are several proposed solutions to reduce the energy consumption in DCN. However, for researchers, it is difficult to evaluate the energy saving performance of those approaches in a large-size network due to the testbed/emulation environment limitation. In this paper we construct a Performance Evaluation...
In this paper we propose a new testbed architecture that combines hardware network devices with virtual emulation test environment to improve scalability, flexibility and accuracy. The testbed enables to design and experiment new concepts for energy-efficient data center. It is based on OpenFlow, a Software Defined Networking (SDN) technology that facilitates the deployment of energy-aware protocols...
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