METHODS AND SYSTEMS FOR RECIPROCAL GENERATION OF WATCH-LISTS AND MALWARE SIGNATURES
Patent №
US 8,910,285
Granted
2014-12-09
Filed 2013
Owner
LASTLINE, INC.
Lab
—
AI components
3
ml · kr · hardware
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
13866979
The present disclosure is directed to methods and systems for reciprocal generation of watch-lists and traffic models characteristic of malicious network activity. In some aspects, the described methods and systems relate to maintaining data for recognition of malicious network activity. In general, the methods include monitoring network traffic; comparing endpoint data from monitored data packets to endpoints in a watch-list of network endpoints and comparing packet data from monitored data packets to traffic models in a catalog of traffic models characterizing malicious network activity; and determining, based on the comparisons, that a set of data packets comprise suspect network activity. The methods include adding a network endpoint to the watch-list when the determination is based on comparing packet data to a traffic model or adding a traffic model to the catalog when the determination is based on comparing endpoint data.
AI classification
Ownership
LASTLINE, INC.
assignment · 305500010
Assignors
KOLBITSCH, CLEMENS, COMPARETTI, PAOLO MILANI, CAVEDON, LUDOVICO
On an employer assignment, the assignors are typically the inventors.