Detecting Behavioral Patterns and Anomalies Using Activity Data

• US 20150033288A1
• Filed: 10/14/2014
• Published: 01/29/2015
• Est. Priority Date: 12/29/2005
• Status: Active Grant

• Current Assignee: Nextlabs
• Original Assignee: Nextlabs
• Inventors: Lim, Keng
• Granted Patent: US 9,311,503 B2
• Time in Patent Office: Days
• US Class Current: 726/1
• CPC Class Codes: G06F 11/3438 monitoring of user actions tracking the activity of the user H04L67/535
• CPC Class Codes: G06F 16/122 using management policies backup systems G06F11/1446; file migration policies for HSM systems G06F16/185
• CPC Class Codes: G06F 16/13 File access structures, e.g. distributed indices arrangements of input from, or output to, record carriers G06F3/06
• CPC Class Codes: G06F 16/176 Support for shared access to files; File sharing support
• CPC Class Codes: G06F 16/93 Document management systems
• CPC Class Codes: G06F 21/6218 to a system of files or objects, e.g. local or distributed file system or database
• CPC Class Codes: G06F 2221/2101 Auditing as a secondary aspect
• CPC Class Codes: G06F 9/468 Specific access rights for resources, e.g. using capability register
• CPC Class Codes: H04L 63/10 for controlling access to devices or network resources
• CPC Class Codes: H04L 63/101 Access control lists [ACL]
• CPC Class Codes: H04L 63/104 Grouping of entities
• CPC Class Codes: H04L 63/105 Multiple levels of security
• CPC Class Codes: H04L 63/20 for managing network security; network security policies in general filtering policies H04L63/0227
• CPC Class Codes: H04L 63/205 involving negotiation or determination of the one or more network security mechanisms to be used, e.g. by negotiation between the client and the server or between peers or by selection according to the capabilities of the entities involved negotiation of communication capabilities H04L69/24

Abstract

Activity data is analyzed or evaluated to detect behavioral patterns and anomalies. When a particular pattern or anomaly is detected, a system may send a notification or perform a particular task. This activity data may be collected in an information management system, which may be policy based. Notification may be by way e-mail, report, pop-up message, or system message. Some tasks to perform upon detection may include implementing a policy in the information management system, disallowing a user from connecting to the system, and restricting a user from being allowed to perform certain actions. To detect a pattern, activity data may be compared to a previously defined or generated activity profile.

Claims

1. A method of managing information of a system comprising:

providing a plurality of information management rules;

providing an activity database;

gathering activity data from a first target in the activity database;

gathering activity data from a second target in the activity database;

associating at least a first rule of the information management rules to the first target;

evaluating the data stored in the activity database according to a detection algorithm, wherein the detection algorithm detects at least one of;

a first condition comprising the first target has attempted to access a unit of information more than X1 times in a Y1 time period;

a second condition comprising the first target has attempted to access more than X2 units of information in a Y2 time period;

or

a third condition comprising the first target has an aggregated usage time in a program above a time value X3 in a Y3 time period;

based on the detection algorithm, determining at least one of the first, second, or third conditions has occurred, and then associating a second rule to the first target; and

for the first target, controlling usage of information based on the at least first rule of information management rules and the second rule.

2. A method of managing information of a system comprising:

providing a plurality of information management rules;

providing an activity database;

gathering activity data from a first target in the activity database;

gathering activity data from a second target in the activity database;

associating at least a first rule of the information management rules to the first target;

evaluating the data stored in the activity database according to a detection algorithm;

based on the detection algorithm, associating a second rule to the first target; and

for the first target, controlling usage of information based on the at least first rule of information management rules and the second rule.