Manh Cong Tran
Papers
2
Total Citations
8
H-Index
2
About
Manh Cong Tran is a dedicated researcher in the field of cybersecurity, with a focused expertise in network security and the detection of application-layer threats. His work centers on analyzing and classifying HTTP-based automated software communication behavior, a critical area for defending against sophisticated cyber attacks that exploit legitimate web connections. Tran’s major contribution lies in developing innovative classification methods that leverage NoSQL databases to identify malicious patterns in web traffic, addressing the growing challenge of cyber criminals using the web as a communication medium. His most-cited paper, “Classification of HTTP automated software communication behaviour using NoSql database” (2016), has garnered 5 citations, while a closely related study with the same title (2016) has received 3 citations, reflecting his early and ongoing impact in this niche. By integrating database technology with behavioral analysis, Tran has provided a scalable framework for distinguishing between benign and malicious HTTP traffic, offering practical tools for enhancing network security. His work is particularly valuable for students and researchers exploring the intersection of database systems and cyber defense, showcasing a methodical approach to a persistent and evolving threat.
Research Focus
Key Achievements
Top Papers
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