( en | de | ru )

 

Disambiguation of "Kim, Hyong"

Author of the publication

copydeleteadd this publication to your clipboard
An empirical evaluation of entropy-based traffic anomaly detection.

, , , , and . Internet Measurement Conference, page 151-156. ACM, (2008)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Shi-Hyong Kim

Shi-Hyong Kim

Man Hyong Dzo

Hyong-won Choi

Hyong-Sik Yun

 

Other publications of authors with the same name

Practical Firewall Policy Inspection Using Anomaly Detection and Its Visualization., , , and . ICITCS, volume 120 of Lecture Notes in Electrical Engineering, page 629-639. Springer, (2011)Comparing Cloud Content Delivery Networks for Adaptive Video Streaming., , and . IEEE CLOUD, page 686-693. IEEE Computer Society, (2018)Internet of Wearables: Fog Extrapolation for Reduced Data Collection and Expanded Capture Volume in Real-Time Motion Capture Edge Devices., , and . CloudCom, page 148-153. IEEE, (2022)Improved Joint Estimation for Body-Mounted Motion Capture Sensors Using Human Kinematics Prior Knowledge., , and . IEEE SENSORS, page 1-4. IEEE, (2022)24.1 A 6.2 GHz Single Ended Current Sense Amplifier (CSA) Based Compileable 8T SRAM in 7nm FinFET Technology., , , , , , , , , and 1 other author(s). ISSCC, page 334-336. IEEE, (2021)FSAD: Flow Similarity Analysis for Anomaly Detection in Cloud Applications., , and . CloudCom, page 426-429. IEEE Computer Society, (2015)Touchdown on the Cloud: The Impact of the Super Bowl on Cloud., and . BigDataService, page 107-113. IEEE, (2019)Identifying Persistent and Recurrent QoE Anomalies for DASH Streaming in the Cloud., , and . CloudCom, page 263-271. IEEE Computer Society, (2017)Network traffic behavior analysis by decomposition into control and data planes., , , and . IPDPS, page 1-8. IEEE, (2008)An empirical evaluation of entropy-based traffic anomaly detection., , , , and . Internet Measurement Conference, page 151-156. ACM, (2008)