Using machine learning for behavior-based access control: Scalable anomaly detection on TCP connections and HTTP requests

Aaron Adler, Michael J. Mayhew, Jeffrey Cleveland, Michael Atighetchi, Rachel Greenstadt

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Fingerprint

    Dive into the research topics of 'Using machine learning for behavior-based access control: Scalable anomaly detection on TCP connections and HTTP requests'. Together they form a unique fingerprint.

    Engineering & Materials Science