Mayank is a security researcher with an extensive background in network security, fraud/abuse prevention, threat intelligence and authentication. His research on browser fingerprinting and passive network fingerprinting has helped build rule-based systems and ML models to tackle fraud and abuse problems at scale. He was one of the first researchers to study liar-buyer fraud (biggest fraud problem in terms of financial loss at PayPal) and has helped build better password strength meters also at PayPal. He has also studied extensively the inner working on underground cracking forums and how cybercriminals monetize.

Mayank has published multiple academic papers, book chapters and filed provisional patents.

His work has also been presented at multiple security conferences including: 
RSA, USENIX Hotsec, NDSS USEC, APWG eCrime, OWASP AppSec California, Botconf, Hack.lu and Grehack.

Presentations & (Public) Sample Work: https://www.slideshare.net/MayankDhiman1
https://scholar.google.com/citations?user=wiFgBlkAAAAJ&hl=en&oi=ao
http://blog.stealthsec.com/author/mayank-dhiman