Narus, Inc.

Christopher Kruegel

Sung-Ju Lee

Giovanni Vigna

Antonio Nucci

Stanislav Miskovic

Alok Tongaonkar

Sabyasachi Saha

Ruben Torres

Gaspar Modelo-Howard

Luca Invernizzi

Ali Zand

A method for detecting a malicious network activity. The method includes extracting, based on a pre-determined criterion, a plurality of protection phase feature sequences extracted from a first plurality of network traffic sessions exchanged during a protection phase between a server device and a first plurality of client devices of a network, comparing the plurality of protection phase feature sequences and a plurality of profiling phase feature sequences to generate a comparison result, where the plurality of profiling phase feature sequences were extracted from a second plurality of network traffic sessions exchanged during a profiling phase prior to the protection phase between the server device and a second plurality of client devices of the network, and generating, in response to detecting a statistical measure of the comparison result exceeding a pre-determined threshold, an alert indicating the malicious network activity.

Application-level DDoS detection using service profiling

A method for detecting a malicious activity in a network. The method includes obtaining file download flows from the network, analyzing, the file download flows to generate malicious indications using a pre-determined malicious behavior detection algorithm, extracting a file download attribute from a suspicious file download flow of a malicious indication, wherein the file download attribute represents one or more of the URL, the FQDN, the top-level domain name, the URL path, the URL file name, and the payload of the suspicious file download flow, determining the file download attribute as being shared by at least two suspicious file download flows, identifying related suspicious file download flows and determining a level of association between based at least on the file download attribute, computing a malicious score of the suspicious file download flow based on the level of association, and presenting the malicious score to an analyst user of the network.

Detecting malware infestations in large-scale networks

Growing community of inventors

Santa Barbara, CA, United States of America

Christopher Kruegel