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Detection and mitigation of abnormal traffic behaviour in autonomic networked environments.

机译:在自主网络环境中检测和缓解异常流量行为。

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摘要

Autonomic network environments are required to be resilient. Resilience is defined as the ability for a network to provide and maintain an acceptable level of service in the face of various challenges to normal operation [1]. Traffic abnormalities are a great challenge and it is vital for any network to be supported by resilient mechanisms in order to detect and mitigate such events. In this document we present our measurement-based resilience architecture and we argue that the correct combination of already proposed theoretical methodologies and mechanisms present in our architecture compose a powerful defence mechanism that satisfies autonomic properties such as self-protection and self-optimization. In addition we refer to our intentions of testing our proposed architecture within the ANA project [2] in order to justify our hypothesis.
机译:自治网络环境必须具有弹性。弹性被定义为网络在面对正常运行的各种挑战时提供和维持可接受的服务水平的能力[1]。流量异常是一个巨大的挑战,对于任何网络都必须由弹性机制支持以检测和缓解此类事件至关重要。在本文档中,我们介绍了基于测量的弹性架构,并且我们认为架构中已经提出的理论方法和机制的正确组合构成了一个强大的防御机制,该机制满足了诸如自我保护和自我优化之类的自主特性。另外,为了证明我们的假设,我们参考了我们打算在ANA项目[2]中测试我们提出的体系结构的意图。

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