Cuicui Kang
Papers
1
Total Citations
11
H-Index
1
About
Cuicui Kang is a leading researcher in cybersecurity and machine learning, with a primary focus on detecting malicious automated threats in online ecosystems. Her most impactful work centers on the identification of advanced web robots, or “CloudBots,” which are increasingly used by hackers and speculators to commit click fraud, create fake accounts, and disrupt e-commerce platforms. In her highly cited 2019 paper, “Machine Learning Based CloudBot Detection Using Multi-Layer Traffic Statistics” (11 citations), Kang introduced a novel detection framework that leverages multi-layer traffic statistics to distinguish between legitimate users and sophisticated botnets. This contribution is critical for protecting the integrity of online transactions and e-commerce services, addressing a growing challenge in the underground economy. Her work demonstrates a deep understanding of adversarial behavior and practical machine learning applications, making her a valuable voice in the fight against automated fraud. Kang’s research continues to influence both academic cybersecurity studies and real-world defense mechanisms, offering scalable solutions for modern digital threats.
Research Focus
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Top Papers
- 1