USC/Information Sciences Institute
Suite 1001
4676 Admiralty Way
Marina del Rey, CA 90292
U.S.A
Email: hangguo [at] usc [dot] edu
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Hang Guo USC/Information Sciences Institute Suite 1001 4676 Admiralty Way Marina del Rey, CA 90292 U.S.A Email: hangguo [at] usc [dot] edu |
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About Me
I'm a Ph.D student from CS Department, USC since 2014 Fall. I work in Analysis of Network Traffic (ANT) group with my advisor Prof. John Heidemann at Information Sciences Institute (ISI).
I received my B.S. in Telecommunications Engineering from Beijing University of Posts and Telecommunications in 2014.
My research interests are Internet traffic analysis, Internet-of-Thing and network security. I previously focused on detecting and explaining ICMP filtering in the Internet, detecting IoT devices by passive network measurements for security purposes and evaluating and interpretaing Machine-learning-based anomaly detection of DDoS to cloud. I am currently working on developing source-end defense to IoT-based DDoS attack.
Education
Publications
Hang Guo, Xun Fan, Anh Cao, Geoff Outhred, John Heidemann. Peek Inside the Closed World: Evaluating Autoencoder-Based Detection of DDoS to Cloud. arXiv preprint arXiv:1912.05590. Dec 2019. [pdf]
Hang Guo, John Heidemann. IP-Based IoT Device Detection. Workshop on Internet of Things Security and Privacy (IoT S&P). Budapest, Hungary. Aug 2018. [pdf] [slides]
Hang Guo, John Heidemann. Detecting IoT Devices in the Internet (Extended). USC/ISI Technical Report ISI-TR-726B. July 2018. [pdf]
Hang Guo, John Heidemann. Detecting ICMP Rate Limiting in the Internet. Passive and Active Measurement Conference (PAM). Berlin, Germany. March 2018. [pdf] [slides]
Hang Guo, John Heidemann. Detecting ICMP Rate Limiting in the Internet (Extended). USC/ISI Technical Report ISI-TR-717. April 2017. [pdf]
Software
rejwreply — a Linux kernel patch that adds echo-reply to feedback type of iptable REJECT rule.
Datasets