International Business Machines Corporation

Jason David Keirstead

Rory F Bray

Declan J Wilson

Iosif Viorel Onut

Paul Ionescu

William Alexander Bird

Ben A Wuest

Douglass J Wilson

Cezar P Grzelak

Gregory A Davis

Dwight E Spencer

Hui Lam Ong

Hong Yen Ong

Michael S Hume

Christopher Ian Collins

Helene Saint-Amour

Irakle Dzneladze

Steven W R Jones

Methods and apparatus, including computer program products, implementing and using techniques for network modeling and device configuration. A security information and event manager is configured to receive log data from third party devices connected to a network. A notification is received each time a specific third party device generates a predetermined event in response to traffic at the specific third party device. The notification includes event information inferring network topology information, which network topology information includes third party device location information, firewall event information, source and destination networks. In response to receiving this information, a state of each third party device is generated, using inferred information over a predetermined period. An access control list is generated for each third party device, by using the inferred information over the predetermined period.

Network modeling and device configuration based on observed network behavior

An approach is provided that automatically classify network traffic of web applications and services based on a dynamic analysis. The approach scans a resource that corresponds to a named network application and receives, as a result of the scan, network resource identifiers that are accessed by the named network application. Network traffic between users and network resources is monitored, with the monitoring resulting in a set of visited network resource identifiers. The set of resource identifiers is found by matching the visited network resource identifiers with the network resource identifiers returned by the scan. Each of the set of resource identifiers is then matched with the named application.

Automatic traffic classification of web applications and services based on dynamic analysis

A method, system and computer-usable medium are disclosed for injecting functionality into a security intelligence platform, comprising: providing the security intelligence platform with a plurality of backend endpoints; generating a modification to the security intelligence platform according to an application framework, the modification comprising metadata associated with functionality, the metadata corresponding to a predefined format; and, merging the modification with the security intelligence platform via a secure container system container.

Security systems GUI application framework

The method for obfuscating a string includes selecting, by a processor, a first string of a first portion of input plain text that does not match a predefined text signature from a set of two or more text signatures. In addition, the method may include identifying, by the processor, a historical string that is similar to the first string from a set of two or more historical strings stored. Further, the method may include generating a first text signature, by the processor, by updating a text signature in the set of two or more text signatures that matches the identified historical string. The first text signature defines a pattern that matches the first string and the identified historical string. The first text signature, by the processor, may be saved to the set of text signatures in the memory.

Adaptive data obfuscation

A method, system and computer-usable medium are disclosed for performing a device time accumulation operation. With a device time accumulation operation systems within a security intelligence platform which accumulate events within the IT environment associate an event ingest time with the event. When the events are provided for analysis, the device time accumulation operation analyzes the ingest times as well as the emit time to take into account historical time data associated with the accumulated events.

Device time accumulation

A method, system and computer-usable medium are disclosed for identifying risk within an information technology (IT) environment, comprising: analyzing characteristics of a user accessing a system within an IT environment; associating a risk profile with the user based upon the characteristics of the user; determining when the user accesses a system within the IT environment; maintaining a user risk profile record of all systems within the IT environment accessed by the user, the user risk profile record continuing to be associated with the system after access by the user ceases; and, identifying a risk level for all systems within the IT environment based upon the user risk profile record.

User activity modelling, monitoring, and reporting framework

An illustrative embodiment of a method for firewall rule use counting receives log messages comprising one or more log data sets from each firewall rule in a particular network whose counts are to be tracked in a log collector, generates a network trie for each reference database in a set of databases and a device source trie and a device destination trie for each firewall device in a plurality of devices of the particular network, a source port and protocol list and a destination port and protocol list for each respective device, a unique object for each log data set received; a mapping database comprising an entry for each log data set received associated with the unique object; and feeds each entry in the mapping database through a topology model to also generate a reference to a unique firewall rule on a respective device in the plurality of devices. A count associated with the unique firewall rule is incremented using a count of logs stored associated with the respective unique object and a report is generated.

Growing community of inventors

Fredericton, Canada

Jason David Keirstead