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Network Monitoring System In CSTNET Long Chun China Science & Technology Network.

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Presentation on theme: "Network Monitoring System In CSTNET Long Chun China Science & Technology Network."— Presentation transcript:

1 Network Monitoring System In CSTNET Long Chun China Science & Technology Network

2 2 Agenda Introduction of Peakflow SP 1 Basic Traffic Analysis 2 BGP Analysis Function Role of Peakflow SP in Security Area 4 4

3 3 Peakflow SP Platform Infrastructure Security DoS/worm detection Traceback Analysis Mitigation Infrastructure Security DoS/worm detection Traceback Analysis Mitigation Traffic and Routing Routing management Transit/peering mgmt Customer accounting Backbone mgmt Traffic and Routing Routing management Transit/peering mgmt Customer accounting Backbone mgmt Converged Platform Device Infrastructure Security Traffic and Routing Analysis Converged Platform Device Infrastructure Security Traffic and Routing Analysis Managed Services Device Customer facing DoS detection and mitigation Managed Services Device Customer facing DoS detection and mitigation

4 4 Intel 2U Servers Peakflow Network Appliances Measurement Collect Netflow, Cflow, Sflow, SNMP and optionally BGP information from network routers/devices Deployment Monitor up to 5 routers per Peakflow Device Up to 15 devices managed by controller Reporting Reports available on controller through CLI or GUI Notifications via , snmp, or syslog Collector – collect data from routers, baseline traffic, detect anomalies. Controller –aggregate data from other devices; create a central network-wide view

5 5 Netflow Peakflow examines NetFlow packets that are generated by the router or switch as traffic is forwarded. The NetFlow is analyzed to benchmark network behavior and identify anomalies.

6 6 Topology

7 7 Agenda Introduction of Peakflow SP 1 Basic Traffic Analysis 2 BGP Analysis Function Role of Peakflow SP in Security Area 4 4

8 8 Traffic Analysis Automatically Configured Analysis Objects: Network Router Peer Interface No Complex Configuration Objects Customized by User: Customer Profile Flexibly customize objects we need

9 9 Traffic Analysis User define objects: Profile Include 1 IP Address or Block of IP Addresses 2 AS Path Regular Expressions 3 Local AS/Sub AS 4 BGP community 5 Peer ASN 6 TCP/UDP port 7 Interface Boolean Operation AND OR NOT We can define analysis objects flexibly: community '2:20'and not /25 aspath ^23849 and not aspath ^23849_9800 community 2:20 and aspath ^4134

10 10 Traffic Summary

11 11 Traffic Analysis Base on TCP/UDP Port (1)

12 12 Traffic Analysis Base on TCP/UDP Port(2)

13 13 Top Talkers

14 14 Agenda Introduction of Peakflow SP 1 Basic Traffic Analysis 2 BGP Analysis Function Role of Peakflow SP in Security Area 4 4

15 15 Transit Traffic Analysis Object Network Router Peer Customer Profile Interface Operation Network BGP Attribute ASxAS

16 16 Traffic Analysis Base on AS

17 17 Traffic Analysis Base on AS Path

18 18 Peering Evaluation and Visualization

19 19 Agenda Introduction of Peakflow SP 1 Basic Traffic Analysis 2 BGP Analysis Function Role of Peakflow SP in Security Area 4 4

20 20 Peakflow SP Anomaly Reporting Profiled Anomalies – deviations from normal traffic levels on the network Misuse Anomalies – Traffic towards specific hosts that exceed what should normally be seen on a network Fingerprint/Worm Anomalies – Traffic that fits a user specified signature

21 21 Detect Attack - Profiled Anomalies A baseline of normal behavior leveraging flow data available from the routers deployed on the network would be built. In real-time, the system compares traffic against the baseline. Detects network-wide anomalies such as DDoS attacks and worm outbreaks in non-intrusive data collection methods.

22 22 Detection Classes: Misuse Detected independently from the established baselines, on a set of known attack signatures. Traffic of specific types exceeding what should be normal for a network. Misuse anomalies cover the following types of traffic: ICMP Anomaly TCP NULL Flag Anomaly TCP SYN Flag Anomaly TCP RST Flag Anomaly IP NULL (Proto 0) Anomaly IP Fragmentation Anomaly IP Private Address Space Anomaly

23 23 Misuse Anomalies - Dark IP

24 24 Fingerprint/Worm Anomalies(1)

25 25 Tracing Anomalies Automatically trace the source and destination IP/Port, TCP Flag of abnormal traffic. Distribution of attack traffic by source and destination IP/Port. Trace the network device that the abnormal traffic pass through.

26 26 Prevent/Mitigate Network-wide Anomalies System can recommend appropriate mitigation measures to mitigate anomalies such as DoS attack and worm outbreaks. Generate recommended ACLs or rate limit commands. Blackhole routing Sinkhole routing

27 27 Alert BGP BGP Instability BGP Route Hijacking Data Source BGP Down Flow Down SNMP Down DoS Alert Interface Usage: traffic exceeded configured baseline Use , SNMP Traps, Syslog etc to notify network administrators.

28 Thank you !


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