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1 Fault Analysis for Large-scale Campus-wide Wireless Networks Jian Chen 01-15-2009 Department of CS, Tsinghua University, Beijing, China.

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Presentation on theme: "1 Fault Analysis for Large-scale Campus-wide Wireless Networks Jian Chen 01-15-2009 Department of CS, Tsinghua University, Beijing, China."— Presentation transcript:

1 1 Fault Analysis for Large-scale Campus-wide Wireless Networks Jian Chen Department of CS, Tsinghua University, Beijing, China

2 2 Complaints From Users Why can not access Internet right here? A stupid wireless network Why do I access Internet so slowly, however he is surfing the webs very happy ? A stupid wireless network Why can not roam seamlessly from this building to another building? A stupid wireless network Why can not get through the authentication right now ? Why is the performance of wireless network extremely bad ?

3 3 Complaints From Users (cont..) Source from: [Atul Adya 04] Mobicom Number of wireless related complaints logged by the IT department of a major US corporation

4 4 Campus-wide Wireless Network Problems Coverage –RF Planning RF holes RF Overlap with same channel Security –Authentication –Authorization –Rogue AP Management –Mobility –Misconfiguration Performance –PHY Limited Capacity Broadcast wireless channel Time-varying Signal Noise Ratio (SNR) Transmitter Power Interference Semiduplex – MAC Random contention Backoff Retransmission Hidden terminal Rate fallback

5 5 Existing Solutions Wireless management system or diagnostic tools –AirWave, Air Magnet, Air Defense –Aruba WMS, Cisco WMS,….. Weakness –Measurement data only from AP perspective –Weak analysis function –Too much abundant information –Hard to find the root cause of wireless problems

6 6 Our Goal of Fault Analysis How many rogue APs are there in our campus-wide WLANs ? How many misconfigurations and security threats are there in our campus-wide WLANs ? What is the impact of existing configuration of AP on performance ? What can be done to reduce these rogue APs, misconfigurations, security threats and impact ?

7 7 Outline Background –CNGI ( China Next Generation Internet ) Campus-wide WLAN Measurement data from operational wireless network –MIB –System log Fault analysis Future work

8 8 CNGI Campus-wide WLAN

9 9 6 campus-wide wireless sub network –Total AP number : 977 –Heterogeneous wireless networks Aruba AP 61 Cisco AP 1010 GemTek P-720G –IPv6 support –Roaming support in each wireless sub network

10 10 Online-User Statistic

11 11 Traffic Statistic

12 12 AP Classification Mobility Controller Internet Wired Campus Network Router Switch Valid Interfering Rogue

13 13 Measurement Data From Operational Wireless Networks Collect SNMP info from routers, control switchs and APs of operational wireless networks. –117 GB –From 1 April,2008 to present Collect syslog from Wireless Management System, Wireless Intrusion Detection System and AAA server. –600 MB –From 20 Dec, 2008 to present

14 14 FIT Building, Floor 1, Tsinghua

15 15 FIT Building, Floor 2, Tsinghua

16 16 Caoguangbiao Building, Floor 3, Zhejiang University

17 17 Class Building 9, Floor 1, Zhejiang University

18 18 Rogue APs In FIT building of Tsinghua university –40 different SSIDs –37 valid APs –28 rogue APs –18 interfering APs Manufacturer AP type ArubaCiscoLinksysD-Link TP-LinkNetgearUnkown Valid APs 37 Rogue APs Interfering APs 32112

19 19 Misconfigured Privacy Violation Misconfigured Short Preamble Violation RF hole detected Rogue AP IDS: Ad-hoc Network Detected IDS: Wireless Bridge Detected IDS: Node Rate Anomaly IDS: Channel Rate Anomaly Misconfigurations and Security Threats

20 20 Future Work Synthesize data traces and MIB info Statistical methods –Make statistical distributions of misconfigurations and security threats Misconfiguration events distribution Security threats distribution Temporal distribution Frequency distribution –Analyze correlation model between misconfigurations and security threats Find the relationship between misconfigurations and security threats

21 21 Thank you !


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