Julia Cheng
Senior Associate
Kaohsiung, Taiwan
Summary
👤
Senior🎓
Top SchoolJulia Cheng is a senior information security engineer with 14 years of hands-on experience building detection, analysis, and honeypot systems for industry and research. Based in Kaohsiung, she leads security log analytics and anomaly detection efforts at PwC Taiwan, specializing in ELK and Splunk, and designs next-generation penetration test scenarios with Metasploit. Her background spans academic research, incident response platforms, and large-scale honeypot deployments—she contributed back-end improvements to the well-known Glastopf web honeypot and built hpfeedshoneygraph tooling that integrates Elasticsearch/Logstash/Kibana with visualization for attack analysis. A practiced project manager and longtime Honeynet Project leader, she bridges volunteer-driven open source collaboration with enterprise security delivery. Equally comfortable mentoring students and shipping production prototypes, she combines deep malware and botnet analysis skills with pragmatic system architecture for actionable threat intelligence.
14 years of coding experience
7 years of employment as a software developer
PhD Candidate, Institutes of Computer and Communication Engineering, PhD Candidate, Institutes of Computer and Communication Engineering at National Cheng Kung UniversityBachelor of Science (BASc), Computer Science, Bachelor of Science (BASc), Computer Science at Tamkang University
English, chines
Github Skills (6)
it-security10
python10
web-application-security10
security10
file-handling9
database-management8
Programming languages (1)
Github contributions (5)
mushorg/glastopf
Oct 2011 - Dec 2011
Web Application Honeypot
Role in this project:
Back-end Developer
Back-end DeveloperContributions:7 commits in 1 month
Contributions summary:Julia primarily focused on improving the functionality and data handling within the Glastopf honeypot. They implemented file sanitization to remove problematic characters in RFI files and extracted data from requests to populate the dork database. Further, they improved the code by separating initialization processes and inserting code to handle and close resources. They also made minor improvements to the UI, in terms of removing excess css tags.
honeypotweb-application
yuchincheng/yararepo
Jun 2019 - Jun 2019
Contributions:6 commits, 5 pushes, 1 branch in 1 day
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