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In the paper, we develop a novel semi-supervised locality sensitive incremental TSVM method for resolving LDDoS issue based on Mirai botnet and its variants issues. The results based on KDD-CUP prove LS-ITSVM has better performance, and it can differ bots from normal users. But during experiment, we find the KDD-CUP dataset was not developed for LDDoS attacks. Thus, soon, we will focus on setting up an IOT LDDoS test bed to collect data and retest these indicators in simulated environment and apply above algorithms into real data center. Secondly, In order to verify the validation for involving samples, we plan to investigate Generative Adversarial Networks (GAN) for generating adversarial samples. |
IEEE/ICACT20210143 Slide.14
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