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WiFiProfiler: Cooperative Diagnosis in Wireless LANs Ranveer Chandra, Venkat Padmanabhan, Ming Zhang Microsoft Research

WiFiProfiler: Cooperative Diagnosis in Wireless LANs Ranveer Chandra, Venkat Padmanabhan, Ming Zhang Microsoft Research

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Page 1: WiFiProfiler: Cooperative Diagnosis in Wireless LANs Ranveer Chandra, Venkat Padmanabhan, Ming Zhang Microsoft Research

WiFiProfiler: Cooperative Diagnosis in Wireless LANs

Ranveer Chandra, Venkat Padmanabhan, Ming Zhang

Microsoft Research

Page 2: WiFiProfiler: Cooperative Diagnosis in Wireless LANs Ranveer Chandra, Venkat Padmanabhan, Ming Zhang Microsoft Research

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Wireless Woes

• Users often wonder why:

– “My machine says: wireless connection unavailable”

– “I get poor performance on wireless”

– “My wireless card keeps trying to authenticate”

– “Is it just me?”

Page 3: WiFiProfiler: Cooperative Diagnosis in Wireless LANs Ranveer Chandra, Venkat Padmanabhan, Ming Zhang Microsoft Research

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Wireless Woes

• Users often wonder why:

– “My machine says: wireless connection unavailable”

– “I get poor performance on wireless”

– “My wireless card keeps trying to authenticate”

– “Is it just me?”

• Many places have no/minimal network admin

– Hotspots: cafes, airports

– Transient networks: conferences, IETF meetings

Page 4: WiFiProfiler: Cooperative Diagnosis in Wireless LANs Ranveer Chandra, Venkat Padmanabhan, Ming Zhang Microsoft Research

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Prior Work: Operator View

• Infrastructure-based monitoring (Aruba, DAIR)

– Focuses on operator perspective (e.g., rogue APs)

• Monitoring at clients (e.g., [Adya 2004])– Fault diagnosis using infrastructure support– Also focuses on operator perspective

• Correlate client observations at AP (MOJO)– Detect PHY level anomalies

Page 5: WiFiProfiler: Cooperative Diagnosis in Wireless LANs Ranveer Chandra, Venkat Padmanabhan, Ming Zhang Microsoft Research

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WiFiProfiler Goal: User View

Enable clients to diagnose network failures

without requiring admin/infrastructure support:

– Reduce user frustration

– Reduce load on admin, when there is one

Help users help themselves

Page 6: WiFiProfiler: Cooperative Diagnosis in Wireless LANs Ranveer Chandra, Venkat Padmanabhan, Ming Zhang Microsoft Research

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State of the Art: Local DiagnosisWireless Connection Manager, WZC

• Reasonable detection, Poor diagnosis

Cannot Associate

MACFiltering

Bad AP

Bad WEPKey

Bad NIC

Page 7: WiFiProfiler: Cooperative Diagnosis in Wireless LANs Ranveer Chandra, Venkat Padmanabhan, Ming Zhang Microsoft Research

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WiFiProfiler

• Based on two key observations:

– Clients form Information Plane with peers• Even when client cannot connect to AP

– Extent of problem indicates cause

Diagnose faults by correlating peers’ health

Page 8: WiFiProfiler: Cooperative Diagnosis in Wireless LANs Ranveer Chandra, Venkat Padmanabhan, Ming Zhang Microsoft Research

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WiFiProfiler Overview

Create Information Plane

Dissatisfied Machine

(Cannot connect to WEP-enabled AP)

Req. Health

Req. Health

Health Info.

(WEP key info)

Diagnose Problem:Same WEP key?

Access Point

Healthy Client

Health In

fo.

(WEP key in

fo)

Healthy Client

Diagnose range of problems across layers!

Page 9: WiFiProfiler: Cooperative Diagnosis in Wireless LANs Ranveer Chandra, Venkat Padmanabhan, Ming Zhang Microsoft Research

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Faults and Some Causes

No IP Address

Security

H/w or s/w

DHCP Server

No Association

No AP DetectedLocation

WAN congestion

Wireless problem

Poor Performance

End-to-End Failure

Firewall/proxy

WAN Disconnect

Page 10: WiFiProfiler: Cooperative Diagnosis in Wireless LANs Ranveer Chandra, Venkat Padmanabhan, Ming Zhang Microsoft Research

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Outline

• Introduction

• WiFiProfiler Overview

• WiFiProfiler Design

• Evaluation

• Summary

Page 11: WiFiProfiler: Cooperative Diagnosis in Wireless LANs Ranveer Chandra, Venkat Padmanabhan, Ming Zhang Microsoft Research

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WiFiProfiler Design Goals

• Transparency: – Minimal user impact/involvement

• Deployability: – Work with off-the-shelf cards and unmodified drivers

• Scalability:– Work with a large number of clients

• Security:– Prevent compromise of clients and AP

Page 12: WiFiProfiler: Cooperative Diagnosis in Wireless LANs Ranveer Chandra, Venkat Padmanabhan, Ming Zhang Microsoft Research

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WiFiProfiler Architecture

• Sensing: What is monitored?

• Communication: How is it shared?

• Diagnosis: How are faults diagnosed?

Page 13: WiFiProfiler: Cooperative Diagnosis in Wireless LANs Ranveer Chandra, Venkat Padmanabhan, Ming Zhang Microsoft Research

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Sensing

• Monitor health of client’s connectivity– Static info (e.g., NIC type)

– Dynamic info (e.g., assoc. success/failure)

H/w or s/wNo Association

Fault Some Causes Sensed Info

NIC Model, Make,Driver version

Auth/Encryption setting, key info

Security

Page 14: WiFiProfiler: Cooperative Diagnosis in Wireless LANs Ranveer Chandra, Venkat Padmanabhan, Ming Zhang Microsoft Research

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Sensed Information

• User-level service (daemon) polls various layers

– Wireless: NIC, BSSID, RSSI, Beacon Loss, 1-way

hash of key, Interface Queue

– IP: IP Address, DHCP, DNS

– Transport: Failed connections, Server Ports

– Application: Web proxy settings

• Snapshot obtained once every second

– Summarized information < 1200 bytes

Page 15: WiFiProfiler: Cooperative Diagnosis in Wireless LANs Ranveer Chandra, Venkat Padmanabhan, Ming Zhang Microsoft Research

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Communication

802.11 NICs can connect to only one network at a time

Challenges:

– Discovery: How does H know that D needs help?

– Parallelism: How does H send packets to D?

Req. Health

Sensed Info

DH

Establishing the Information Plane

Page 16: WiFiProfiler: Cooperative Diagnosis in Wireless LANs Ranveer Chandra, Venkat Padmanabhan, Ming Zhang Microsoft Research

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Discovery

• D initiates ad hoc network with distinct SSID– Special SSID format denotes request for help

– H receives beacon even when associated to AP

D

169.254.10.125Port: 5000

SSID: Help:169.254.10.125:5000

H

Page 17: WiFiProfiler: Cooperative Diagnosis in Wireless LANs Ranveer Chandra, Venkat Padmanabhan, Ming Zhang Microsoft Research

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VirtualWiFi Layer

Virtual Interface 3

TCP/IP, Network Stack

Virtual Interface 2

Application LayerUser-level

Kernel-level

Approach: Virtualize card, buffer packets, switch b/w networks

Virtual Interface 1

Wireless Card

Parallelism using VirtualWiFiDetails: Infocom ’04

Page 18: WiFiProfiler: Cooperative Diagnosis in Wireless LANs Ranveer Chandra, Venkat Padmanabhan, Ming Zhang Microsoft Research

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Communication Protocol• WiFiProfiler uses 2 (virtual) adapters:

– Primary adapter activated in normal use

– Helper adapter dedicated for WiFiProfiler• Activated only when needed

DH

169.254.10.125Port: 5000

SSID: Help:169.254.10.125:5000

Primary VNIC

Helper VNIC

Scalability and Security discussions in paper

Page 19: WiFiProfiler: Cooperative Diagnosis in Wireless LANs Ranveer Chandra, Venkat Padmanabhan, Ming Zhang Microsoft Research

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Diagnosis

• Initiated by user

• Correlate peers’ info and infer likely cause

– Rule-based techniques instead of black-box

• Suggest steps for problem resolution

– Change configuration settings• e.g. local DNS server, web proxy, WEP key

– Change location, contact admin

• Diagnose faults across layers of network stack

Page 20: WiFiProfiler: Cooperative Diagnosis in Wireless LANs Ranveer Chandra, Venkat Padmanabhan, Ming Zhang Microsoft Research

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NOYES

Diagnosing Association Failure

Is Sec.configSame?

Bad Sec. setting(Fix it)

NO

Is BLRmuch

higher?

Bad signal(change location)

Similar cardAssociated?

YES

If another peer has successfully associated with the AP:

YES

MAC Filtering(contact admin)

NO

S/w or H/w config(change NIC or update driver)

Page 21: WiFiProfiler: Cooperative Diagnosis in Wireless LANs Ranveer Chandra, Venkat Padmanabhan, Ming Zhang Microsoft Research

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Diagnosis Features

• Inherent uncertainty in some cases– Need info from AP to confirm MAC filtering

• Conflicting info from peers– Used to eliminate branches in diagnosis procedure,

e.g. NIC type

• Vulnerability to bogus info from attackers– Use information from large number of peers

– Susceptible to Sybil attack

Page 22: WiFiProfiler: Cooperative Diagnosis in Wireless LANs Ranveer Chandra, Venkat Padmanabhan, Ming Zhang Microsoft Research

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Outline

• Introduction

• WiFiProfiler Architecture

– Sensing

– Communication

– Diagnosis

• Evaluation

• Summary

Page 23: WiFiProfiler: Cooperative Diagnosis in Wireless LANs Ranveer Chandra, Venkat Padmanabhan, Ming Zhang Microsoft Research

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Evaluation

• Sensing: Low overhead

– (used < 1% CPU on 1.33 GHz laptop)

• Communication using VirtualWiFi:

– Healthy clients spend < 2 sec sending info

– Sick clients get information within 30 seconds

• Much of the delay in discovery (scanning delays)

Page 24: WiFiProfiler: Cooperative Diagnosis in Wireless LANs Ranveer Chandra, Venkat Padmanabhan, Ming Zhang Microsoft Research

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Little Impact on Healthy Clients

0

5

10

15

20

25

10K 100K 1M

Download Size (in bytes)

Tim

e (i

n s

eco

nd

s)Download while Helping

Download when not Helping

Extra 0.5 to 3 seconds!

Page 25: WiFiProfiler: Cooperative Diagnosis in Wireless LANs Ranveer Chandra, Venkat Padmanabhan, Ming Zhang Microsoft Research

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Port blockedMAC Filtering

Too far from AP

Access Point

Port blocked Port blocked

Effectiveness of WiFiProfiler

Relevant diagnosis at all clients within 30 seconds!

Page 26: WiFiProfiler: Cooperative Diagnosis in Wireless LANs Ranveer Chandra, Venkat Padmanabhan, Ming Zhang Microsoft Research

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WiFiProfiler Summary

• Enables cooperative diagnosis in WLANs

– Without infrastructure support, low overhead

• Working system on Windows XP

• Future work:

– Security: Privacy, Sybil Attacks, Passive Mode

– Long-term Profiling