Systems, methods, and media for generating sanitized data, sanitizing anomaly detection models, and/or generating sanitized anomaly detection models

US8407160B2 · kind B2 · utility

Assignee

• The Trustees of Columbia University in the City of New York · US

Inventors

• Gabriela Cretu · New York, US
• Angelos Stavrou · Springfield, US
• Salvatore J. Stolfo · Ridgewood, US
• Angelos D. Keromytis · New York, US
• Michael E. Locasto · Mina, US

Key dates

• Filing date: Nov 15, 2007
• Grant date: Mar 26, 2013
• Expiry date: Feb 20, 2029

Classification

• Technology area (CPC H): Electricity
• CPC primary: H04L63/14
• WIPO field: Digital communication
• WIPO sector: Electrical engineering

Abstract

Systems, methods, and media for generating sanitized data, sanitizing anomaly detection models, and generating anomaly detection models are provided. In some embodiments, methods for generating sanitized data are provided. The methods including: dividing a first training dataset comprised of a plurality of training data items into a plurality of data subsets each including at least one training data item of the plurality of training data items of the first training dataset; based on the plurality of data subsets, generating a plurality of distinct anomaly detection micro-models; testing at least one data item of the plurality of data items of a second training dataset of training data items against each of the plurality of micro-models to produce a score for the at least one tested data item; and generating at least one output dataset based on the score for the at least one tested data item.