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TEL500-Voice Communications SIP-based VoIP Traffic Behavior Profiling and Its Application Devesh...

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TEL500-Voice Communications SIP-based VoIP Traffic Behavior Profiling and Its Application Devesh Mendiratta & Sameer Deshmukh MS-Telecommunication State University of New York Institute of Technology
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Page 1: TEL500-Voice Communications SIP-based VoIP Traffic Behavior Profiling and Its Application Devesh Mendiratta & Sameer Deshmukh MS-Telecommunication State.

TEL500-Voice Communications

SIP-based VoIP Traffic Behavior Profiling and Its Application

Devesh Mendiratta & Sameer DeshmukhMS-Telecommunication

State University of New York Institute of Technology

Page 2: TEL500-Voice Communications SIP-based VoIP Traffic Behavior Profiling and Its Application Devesh Mendiratta & Sameer Deshmukh MS-Telecommunication State.

Introduction to Paper

SIP based VOIP Traffic Behavior at levels like SIP server entity SIP server host Individual user levels

Security of VOIP – Attacks & vulnerability Paper claims : Little research As of now

1st attempt to understand SIP traffic behavior

for Attack Detection

Page 3: TEL500-Voice Communications SIP-based VoIP Traffic Behavior Profiling and Its Application Devesh Mendiratta & Sameer Deshmukh MS-Telecommunication State.

Outline

SIP Overview Identifying SIP servers Profiling SIP sever & User Behaviors Characteristics of Behavior Applications Conclusion

Page 4: TEL500-Voice Communications SIP-based VoIP Traffic Behavior Profiling and Its Application Devesh Mendiratta & Sameer Deshmukh MS-Telecommunication State.

SIP Based VoIP Service SIP servers and clients

SIP REGISTER

Call Proxy

Request-Response

Method field

FROM and TO fields

Page 5: TEL500-Voice Communications SIP-based VoIP Traffic Behavior Profiling and Its Application Devesh Mendiratta & Sameer Deshmukh MS-Telecommunication State.

Identifying IP Address

Observation of SIP servers Large No. of SIP messages Large No. of distinct FROM and TO fields

Page 6: TEL500-Voice Communications SIP-based VoIP Traffic Behavior Profiling and Its Application Devesh Mendiratta & Sameer Deshmukh MS-Telecommunication State.

Profiling SIP Server Behaviors

Multilevel Profiling

Three Levels: Server host level: maintain only aggregate features and metrics by examining only the message types into and out of a SIP server Server entity level: separate the role of a SIP server into register and call proxy User level: attribute the SIP messages to individual users and maintain statistic and features to characterized individual user behaviors

Page 7: TEL500-Voice Communications SIP-based VoIP Traffic Behavior Profiling and Its Application Devesh Mendiratta & Sameer Deshmukh MS-Telecommunication State.

Server Host Level Characterization

Count the number of request and response messages received and sent by each SIP server over a given period of time T

Count the number of unique users seen in the FROM and TO fields of SIP request messages, and compute an aggregate user activity diversity from the distribution of data over T

Page 8: TEL500-Voice Communications SIP-based VoIP Traffic Behavior Profiling and Its Application Devesh Mendiratta & Sameer Deshmukh MS-Telecommunication State.

Overall Server Level Characteristics

No. of message types User activities diversity(Metric)

Page 9: TEL500-Voice Communications SIP-based VoIP Traffic Behavior Profiling and Its Application Devesh Mendiratta & Sameer Deshmukh MS-Telecommunication State.

Registrar Behavior Characteristics

Period of registration updates Requests inter-arrival times

Page 10: TEL500-Voice Communications SIP-based VoIP Traffic Behavior Profiling and Its Application Devesh Mendiratta & Sameer Deshmukh MS-Telecommunication State.

Call Proxy/User Call Behavior Characteristics

Calls made vs. received Call types

Page 11: TEL500-Voice Communications SIP-based VoIP Traffic Behavior Profiling and Its Application Devesh Mendiratta & Sameer Deshmukh MS-Telecommunication State.

Applications

Page 12: TEL500-Voice Communications SIP-based VoIP Traffic Behavior Profiling and Its Application Devesh Mendiratta & Sameer Deshmukh MS-Telecommunication State.

Conclusion

VOIP traffic consists of stable characteristics Well captured by statistics & features of profile we

use Profiling – to help identify the attack detection

Page 13: TEL500-Voice Communications SIP-based VoIP Traffic Behavior Profiling and Its Application Devesh Mendiratta & Sameer Deshmukh MS-Telecommunication State.

?Thank You

Any Questions Undergrad ???


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