IP Library Granted Patent US 10,021,115
Granted Patent B2
US 10,021,115 · App. 14/983,999 · Granted Jul 10, 2018

Integrated security system having rule optimization

Inventors: Oscar Leonardo Bejarano Ardila (Sunnyvale, CA); Rakesh Manocha (Pleasanton, CA); Rene Chavez (San Jose, CA); Pradeep Velappan Nair Pushkala Devi (Sunnyvale, CA); Nadeem Khan (Bangalore, IN); Mayank Betala (Bangalore, IN); Andrew S. Chasin (Los Gatos, CA)
Assignee: Juniper Networks, Inc.
H04L63/14H04L63/0263H04L63/1408H04L63/1433H04L63/1441H04L63/20
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Quick Facts
Patent No.
US 10,021,115
App. No.
14/983,999
Granted
Jul 10, 2018
Kind
B2
Abstract

Techniques are described for optimizing the placement of automatically generated rules within security policies. An administrator may, for example, interact with the graphical representation of rules rendered by the threat control module and, responsive to the interaction, the system may determine an optimal placement for the created rule in the list of rules for the identified security device based on either the existence of anomalies or threat IP data and/or advanced security parameters. In this way, the system allows administrators to configure rules with the most optimal sequence to detect threats.

Claims (34)

1. A method, comprising:

receiving one or more threats corresponding to a security device;

displaying the one or more threats and one or more rules generated in response to receiving the one or more threats;

receiving configuration information on the one or more generated rules;

generating an optimal suggested placement of the one or more generated rules in a list of existing rules for the security device;

modifying, based on an input on the displayed one or more generated rules, the optimal suggested placement of the one or more generated rules, wherein modifying the optimal suggested placement of the one or more generated rules includes determining if the modification will lead to one or more anomalies;

in response to the modifying the optimal suggested placement of the one or more generated rules, generating a rule anomalies analysis report of any anomalies resulting from the modification;

displaying the modified optimal suggested placement of the one or more generated rules;

displaying the rule anomalies analysis report; and

selectively deploying, based on an input of the displayed modified optimal suggested placement of the one or more generated rules, the modified optimal suggested placement of the one or more generated rules in the list of existing rules of the security device.

2. The method of claim 1 , wherein the one or more anomalies include shadowing.

3. The method of claim 1 , wherein the one or more anomalies include redundancy.

4. The method of claim 1 , wherein receiving configuration information includes defining IP traffic.

5. The method of claim 4 , wherein defining IP traffic includes defining at least one of a source zone, an IP address, or source user identification.

6. The method of claim 4 , wherein generating the optimal suggested placement is based on the defined IP traffic.

7. The method of claim 1 , wherein receiving configuration information includes defining an advanced security parameter to the one or more rules.

8. The method of claim 7 , wherein defining an advanced security parameter includes defining at least one rule action, advanced security, application firewall, SSL proxy, intrusion prevention system, unified threat management, or security intelligence.

9. The method of claim 7 , wherein generating the optimal suggested placement is based on the defined advanced security parameter.

10. A system comprising:

one or more processors;

one or more computer-readable memories;

a rule analysis module that executes on one or more processors, wherein the rule analysis module:

receives one or more threats corresponding to a security device,

generates an optimal suggested placement of one or more generated rules in a list of existing rules for the security device,

modifies, based on an input on the one or more generated rules which are displayed, the optimal suggested placement of the one or more generated rules, wherein, to modify the optimal suggested placement of the one or more generated rules includes determining if the modification will lead to one or more anomalies, and

generates, in response to the modification, a rule anomalies analysis report of any anomalies resulting from the modification; and

a threat control module that executes on one or more processors, wherein the threat control module:

displays the one or more threats and the one or more generated rules which are generated in response to receiving the one or more threats,

displays the optimal suggested placement of the one or more generated rules in the list of existing rules,

displays the modified optimal suggested placement of the one or more generated rules, and

displays the rule anomalies analysis report; and

a policy deployment engine that executes on one or more processors, wherein the policy deployment engine selectively deploys the modified optimal suggested placement of the one or more generated rules in the list of existing rules of the security device based on an input of the displayed modified optimal suggested placement of the one or more generated rules.

11. The system of claim 10 , wherein the rule analysis module further determines the optimal suggested placement of the one or more rules based on a defined IP traffic.

12. The system of claim 10 , wherein the rule analysis module further determines the optimal suggested placement of the one or more rules based on an advanced security parameter.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 8, 2016
From: ARDILA, OSCAR LEONARDO BEJARANO; CHASIN, ANDREW S.
To: JUNIPER NETWORKS, INC.
Reel/Frame 037924/0097 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 30, 2015
From: MANOCHA, RAKESH; CHAVEZ, RENE; PUSHKALA DEVI, PRADEEP VELAPPAN NAIR; KHAN, NADEEM; BATALA, MAYANK
To: JUNIPER NETWORKS, INC.
Reel/Frame 037382/0976 →
Priority Claims (1)
IN 5944/CHE/2015 · Nov 3, 2015 · national
Continuity (1)
Related Publication 20170126740A1 · May 4, 2017
Cited By (1)
US 12,250,243