Emc Corporation

Emc IP Holding Company LLC

Kaan Onarlioglu

Ting-Fang Yen

Alina Oprea

Ari Juels

Todd S Leetham

Aditya Kuppa

William Robertson

Engin Kirda

Methods, apparatus and articles of manufacture for behavioral detection of suspicious host activities in an enterprise are provided herein. A method includes processing log data derived from one or more data sources associated with an enterprise network over a given period of time, wherein the enterprise network comprises multiple host devices; extracting one or more features from said log data on a per host device basis, wherein said extracting comprises: determining a pattern of behavior associated with the multiple host devices based on said processing; and identifying said features representative of host device behavior based on the determined pattern of behavior; clustering the multiple host devices into one or more groups based on said one or more features; and identifying a behavioral anomaly associated with one of the multiple host devices by comparing said host device to the one or more groups across the multiple host devices.

Behavioral detection of suspicious host activities in an enterprise

Methods, apparatus and articles of manufacture for detecting suspicious web traffic are provided herein. A method includes generating a database comprising information corresponding to each of multiple connections between one or more destinations external to an enterprise network and one or more hosts within the enterprise network, wherein said multiple connections occur over a given period of time; processing multiple additional connections between one or more destinations external to the enterprise network and one or more hosts within the enterprise network with one or more filtering operations to produce one or more filtered connections, wherein said multiple additional connections occur subsequent to said given period of time; and analyzing said filtered connections against the database to identify a connection to a destination external to the enterprise network that is not included in the information in the database.

Detecting suspicious web traffic from an enterprise network

Time correction records are created for correcting timestamps of network logs to identify timing of network events in a predetermined time reference frame, the network logs being created by logging devices generating the timestamps in device time reference frames. For each logging device, one or more network events are generated or identified at respective event times in the predetermined time reference frame, each network event having a corresponding event-related network log from the logging device and a respective timestamp in a device time reference frame. For each network event, a respective difference value is calculated as a difference between the event time and a respective timestamp from a network log. For each logging device, a selection function is applied to the difference values to calculate a correction value, and the correction value is stored along with an identifier of the logging device in a time correction record.

Time sanitization of network logs from a geographically distributed computer system

A threat detection system for detecting threat activity in a protected computer system includes anomaly sensors of distinct types including user-activity sensors, host-activity sensors and application-activity sensors. Each sensor builds a history of pertinent activity over a training period, and during a subsequent detection period the sensor compares current activity to the history to detect new activity. The new activity is identified in respective sensor output. A set of correlators of distinct types are used that correspond to different stages of threat activity according to modeled threat behavior. Each correlator receives output of one or more different-type sensors and applies logical and/or temporal testing to detect activity patterns of the different stages. The results of the logical and/or temporal testing are used to generate alert outputs for a human or machine user.

Anomaly sensor framework for detecting advanced persistent threat attacks

Mapping network addresses in logs of network activity to corresponding host computers includes generating lists of known-dynamic addresses, static addresses and other-dynamic addresses from network addresses appearing in the logs. The static addresses and other-dynamic addresses are assigned to host computers having respective first host identifiers, and the known-dynamic addresses are associated with corresponding host computers having respective second host computer identifiers contained in dynamic address assignment activity. For the static and other-dynamic addresses, the first host identifiers are obtained, and first address-to-host bindings are created for address-based lookups of first host identifiers using respective addresses. For the known-dynamic addresses, the second host computer identifiers and log-time information from the dynamic address activity are used to create second address-to-host bindings usable to perform address-based lookup of second host identifiers and corresponding use-time information using respective addresses to which the second host identifiers are bound.

Growing community of inventors

Brookline, MA, United States of America

Kaan Onarlioglu