论文标题

基于SOM的DDOS防御机制使用SDN用于物联网

SOM-based DDoS Defense Mechanism using SDN for the Internet of Things

论文作者

Meng, Yunfei, Huang, Zhiqiu, Wang, Senzhang, Shen, Guohua, Ke, Changbo

论文摘要

为了有效地应对物联网的安全威胁,我们在本文中使用软件定义的网络(SDN)提出了一种基于SOM的DDOS防御机制。该机制的主要思想是部署基于SDN的网关来保护物联网中的设备服务。网关提供基于SOM神经网络的DDOS防御机制。通过基于SOM的DDOS防御机制,网关可以有效地识别物联网中的恶意传感设备,并在检测到这些设备后自动阻止这些恶意设备,以便在DDOS攻击受到DDOS攻击时可以有效地执行系统的安全性和鲁棒性。为了验证该机制的可行性和有效性,我们利用Pox控制器和矿物模拟器来实现实验系统,并进一步使用Python实施上述安全执法机制。最终的实验结果表明,在不同的测试方案下,该机制确实有效。

To effectively tackle the security threats towards the Internet of things, we propose a SOM-based DDoS defense mechanism using software-defined networking (SDN) in this paper. The main idea of the mechanism is to deploy a SDN-based gateway to protect the device services in the Internet of things. The gateway provides DDoS defense mechanism based on SOM neural network. By means of SOM-based DDoS defense mechanism, the gateway can effectively identify the malicious sensing devices in the IoT, and automatically block those malicious devices after detecting them, so that it can effectively enforce the security and robustness of the system when it is under DDoS attacks. In order to validate the feasibility and effectiveness of the mechanism, we leverage POX controller and Mininet emulator to implement an experimental system, and further implement the aforementioned security enforcement mechanisms with Python. The final experimental results illustrate that the mechanism is truly effective under the different test scenarios.

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