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

Knowledge representation0.98
Machine learning0.93
AI hardware0.91
Planning0.09
Vision0.03
Natural language0.00
Evolutionary computation0.00
Speech0.00

Ownership

LASTLINE, INC.

assignment · 305500010

Assignors

KOLBITSCH, CLEMENS, COMPARETTI, PAOLO MILANI, CAVEDON, LUDOVICO

On an employer assignment, the assignors are typically the inventors.

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