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Design and Implementation of SIP-aware DDoS Attack Detection System

Design and Implementation of SIP-aware DDoS Attack Detection System. Introduction:. SIP is a signaling protocol that controls session establishment, modification, and termination of multimedia services.

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Design and Implementation of SIP-aware DDoS Attack Detection System

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  1. Design and Implementation of SIP-awareDDoSAttack Detection System

  2. Introduction: • SIP is a signaling protocol that controls session establishment, modification, and termination of multimedia services. • Since SIP based application service are provided by IP network, it should not only exposed to security vulnerabilities of IP but also it should also secure the Sip vulnerabilities.

  3. This paper explains how SIP should be prevented from DDoS (Distributed Denial of service) attack detection system. • Contents of this paper are:  Characteristics of SIP, DDoS attack patterns.  Considerations and design issues of SIP-aware DDoS attack detection.  Currently implemented systems.

  4. Characteristics of SIP • Generally DDoS traffics are detected by IP based security technologies like ( source IP, source port, destinationIP, destination port and protocol. • But SIP based application is also needed like URI (Uniform Resource Identifier)

  5. SIP aware DDoS attack patterns • Section A: Destination IP address is fixed to IP address of a SIP server • Section B: Source IP address and destination IP address are fixed to IP addresses of SIP proxy servers. • Section C: Source IP address is fixed to IP address of SIP proxy server. Figure 1. SIP Traffic Transmission Section Classification

  6. SIP DDoS 1 attack to user terminal • Section A: Multiple source IP addresses but identical From, To and Call-ID. • It is easy to determine an attack because different source IP addresses are not allowed to have same From address. • Section B, Section C: Identical method, From, To, and Call-ID. SIP packets transmitted above their thresholds could be classified as DDoS attacks.

  7. Figure 3. SIP DDoS 2 Attack to user terminal • The figure shows multiple callers transmit massive packets to a callee . • In this case, it is hard to detect inconsistency by logical packet analysis on all section A, B, and C. • Section A, B, C: When SIP packets with different From addresses having identical Call-ID and SIP packets with identical method, To, and Call-ID transmitted above their threshold it could be classified as a DDoS attack.

  8. Figure 4. SIP DDoS Attack to Proxy Server • Multiple callers attack SIP servers with massive To URI modified SIP packets. Due to multiple To URIs DDoS attack detection is difficult.

  9. Design of SIP-aware DDoS Attack Detection System • Net Flow Collection and Sensor Connection Management Module: Collect information from SIP application traffic gathering sensors located multiple locations and decode information before storing them on sharing memory. • SIP Traffic Detection Module: Using SIP application traffics stored on shared memory detect anomaly. • Alert & Log Module: Record alarms and keep the logs for abnormal traffics. • User Interface: Provide functionalities of reviewing SIP-based flow and statistics, inquiring Logs, and modifying system configuration. • System Management Module: Manage system state and sensor list. • Interoperability Module: Generate information needed for interoperability with SIP security management system. Figure 5. Block diagram of SIP-aware DDoS Attack Detection System

  10. Pre-processor Module: Pre-process information needed for detection and integration SIP-based flows. • SIP-aware DDoS Attack Detection Module • Traffic Statistic management Module: Calculate SIP application traffic statistics and knowledge-based detection threshold for normal behavior statistics profiling. • Threshold DB Module: SIP DDoS attack detection threshold stored database. Figure 6. Anomaly-based SIP traffic monitoring module

  11. Test Environment for SIP-aware DDoS Attack Detection System • The first subnet represents the domain of SIP service providers. On this subnet, there are SIP-aware DDoS Attack Detection System, SIP proxy server, session border controller. • The second subnet represents the domain of attackers. • On this subnet, there are SIP attack tools and SIP flooding traffic generators. • The third subnet represents the domain of victims. • In the victim domain, there are VoIP hard phones and soft phones. • The fourth subnet represents the domain of legitimate subscribers. To simulate legitimate calls among users, a SIP call generator is used.

  12. Test Results -> SIP-aware DDoS Attack Detection System detects Invite Flooding at 0.8Mbps while IPS could not detect untill it reaches overall bandwidth threshold ( ≥16Mbps.) IPS attack detection does not reflect SIP protocol characteristics.

  13. Thank you

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