INTEREST
My research interests span across computer networking and security, particularly network traffic analysis, protocol design and network security.
EDUCATION
University of Southern California (3.81) 2019 — present M.S. Computer Science (Expected May 2021)
Specialization : Computer Networks
Kasetsart University (3.36)
B.Eng. Computer Engineering (Second Class Honours) 2014 — 2018 EXPERIENCE
Kyoto Institute of Technology Summer 2017
Intern at Software Engineering Laboratory supervised by Prof. Mizuno Osamu
• Improve room monitoring system using Unity and Arduino.
• All sensors are implemented by Arduino and the output data are presented in 2-D board game using Unity.
Kasetsart University 2018
Research Assistant at the Intelligent Wireless Network Group (IWING) supervised by Prof. Anan Phonphoem, Prof. Chaiporn Jaikaeo and Prof. Aphirak Jansang
• Blockchain for Distributed Multimedia Evidences
- Use blockchain (Ethereum) to store multimedia crime evidences in order to protect forgery.
• Bandwidth-constrained Long-Range Video Transmission
- Amid a national park without any commercial signals, use LoRa (Long Range), a Low Power, Wide Area networking protocol, to transmit the captured pictures of illegal hunting inside the restricted area.
USC Information Sciences Institute (ISI) 2019 — present Research Assistant at STEEL supervised by Prof. Jelena Mirkovic
• AMON-SENSS
- A scalable DDoS detection for ISPs.
- Implement various anomaly detection approaches and tested them individually with the real captured traffic. Then compare a detection result from each approach with the ground truth to verify its accuracy.
- Will publish soon (under preparation)
2667 Ellendale Pl, Apt 104, Los Angeles, CA 90007
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Pithayuth Charnsethikul
• Quantifying Cloud Misbehavior
- Published at the 9th IEEE International Conference on Cloud Networking (IEEE CloudNet 2020).
- Gather several datasets containing unwanted internet traffic. Then classified /24 network prefixes into “cloud” or “not-cloud”.
- Since there is no universal ground truth that determine whether a given network address is a cloud provider or not, we identify “cloud” based on various sources like reverse DNS lookup, data from Alexa Top 500 hosting services and data from IPinfo.io.
- Aggregate this collected data into the list of /24 cloud prefixes and use it to quantify the amount of traffic originated from cloud providers in each dataset.
• Privacy Leaks from Venmo Application
- Apply BERT, a pre-training model for NLP, to classify Venmo public transactions as “sensitive” or
“not-sensitive”
- Will publish soon (under preparation)
Others
CSCI561: Foundations of Artificial Intelligence instructed by Prof. Laurent Itti
• Build a Halma intelligent agent
• Enter my agent in the Halma agent competition
• Reach the final round of 50 finalists from 700 contestants CSCI555: Advanced Operating Systems instructed by Prof. Clifford Neuman
• Review multiples research studies and summarize them as a research paper
• My topic is ``Analyses of DNS Caching’’
CSCI530: Security Systems instructed by Prof. Clifford Neuman
• Review multiples research studies and summarize them as a research paper
• My topic is ``Analyses of Distributed Firewalls’’ CSCI551: Computer Networking Research Project supervised by Prof. John Heidemann
• Improving Coverage for Estimating DNS RTT
- Improve coverage for DNS to estimate its client latency
- Previous works suggested that DNS client latency could be estimated from TCP handshake time. However, TCP was not widely used in DNS and consequently limited a proposed method to poor coverage. As previous works mentioned, using a truncated bit (TC bit) might overcome a coverage problem. Note that DNS uses a TC bit to ask clients to retry their UDP query over TCP.
- Following their suggestion, modify authoritative server code (KNOT DNS) to ask some clients to retry their queries over TCP using a TC bit.
- Evaluate how coverage improves
- Write an academic paper and present it on a poster Conference Attended
• the 29th USENIX Security Symposium
• the 9th IEEE International Conference on Cloud Networking (IEEE CloudNet 2020)
• the NDSS Symposium 2021
SKILLS
C, Python, Perl, Linux, Bash