Jason Ding


Zejin Ding is a senior security researcher at the Software Security Research team of HP. His research includes application/network security, machine learning, social networks, and big data analysis. His main interests are in integrating data analysis methods to application security and social network areas, to create more intelligent systems to detect security vulnerabilities. He had actively spoke in various top security conferences, including Black Hat, RSA USA, (ISC)² Security Congress, Security B-Sides (Las Vegas, Atlanta, Austin, Boston), GFIRST, Virus Bulletin, etc. His previous important studies were on identifying new threats on social networks, such as fake profiles on Facebook, and Twitter tweet and followers botnet, etc. Jason worked at Barracuda Labs before and earned his Ph.D from Georgia State University in 2011.

Bioinformatics Computational Biology Data Mining & Machine Learning Network Science & Online Social Networks Security & Privacy

Work details


PeerJ Contributions

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