Detecting LDoS Attacks based on Abnormal Network Traffic

Author:

Chen Kai

Publisher

Korean Society for Internet Information (KSII)

Subject

Computer Networks and Communications,Information Systems

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Uncovering APT malware traffic using deep learning combined with time sequence and association analysis;Computers & Security;2022-09

2. A new detection method for LDoS attacks based on data mining;Future Generation Computer Systems;2022-03

3. Low-High Burst: A Double Potency Varying-RTT Based Full-Buffer Shrew Attack Model;IEEE Transactions on Dependable and Secure Computing;2019

4. A Low-Rate DoS Attack Detection Method Based on Hilbert Spectrum and Correlation;2018 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI);2018-10

5. Control Flow Checking at Virtual Edges;KSII Transactions on Internet and Information Systems;2016-01-31

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