Software obfuscation has always been a controversially discussed research area. While
theoretical results indicate that provably secure obfuscation in general is impossible, its …

In 2018, with the internet being treated as a utility on equal grounds as clean water or air, the
underground malicious software economy is flourishing with an influx of growth and …

Methods, systems, and media for detecting covert malware are provided. In accordance with
some embodiments, a method for detecting covert malware in a computing environ ment is …

Abstract Systems, methods, and media for detecting network anomalies are provided. In
some embodiments, a training dataset of communication protocol messages having …

2009-12-05 Assigned to THE TRUSTEES OF COLUMBIA UNIVERSITY IN THE CITY OF
NEW YORK reassignment THE TRUSTEES OF COLUMBIA UNIVERSITY IN THE CITY OF …

Methods, systems, and media for masquerade attack detec tion by monitoring computer user
behavior are provided. In accordance with some embodiments, a method for detecting …

Methods, media, and systems for detecting attack are pro vided. In some embodiments, the
methods include: compar ing at least part of a document to a static detection model; …

Anomaly-based network intrusion detection systems (IDS) are valuable tools for the defense-
in-depth of computer networks. Unsupervised or unlabeled learning approaches for network …

The insider threat remains one of the most vexing problems in computer security. A number
of approaches have been proposed to detect nefarious insider actions including user …

The efficacy of anomaly detection (AD) sensors depends heavily on the quality of the data
used to train them. Artificial or contrived training data may not provide a realistic view of the …