USC/Information Sciences Institute
4676 Admiralty Way
Marina del Rey, CA 90292
Email: hangguo [at] usc [dot] edu
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.
Hang Guo, John Heidemann. Detecting IoT Devices in the Internet. To appear in IEEE/ACM Transactions on Networking (ToN). August 2020.
Hang Guo, John Heidemann. IoTSTEED: Bot-side Defense to IoT-based DDoS Attacks (Extended). USC/ISI Technical Report ISI-TR-738. June 2020. [pdf]
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. 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 (Extended). USC/ISI Technical Report ISI-TR-717. April 2017. [pdf]
IoTSTEED — bot-side defense to IoT-based DDoS attacks from edge router
rejwreply — a Linux kernel patch that adds echo-reply to feedback type of iptable REJECT rule
Datasets (Please contact me for data)