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APRICOT 2015 Plenary | 03/2015
Narseo Vallina-Rodriguez
ICSI-Berkeley
Beyond the radio:
Exploring the terra incognita of mobile
networks with the ICSI Netalyzr
Work done in collaboration with:
Srikanth Sundaresan, Christian Kreibich, Nicholas Weaver and Vern Paxson
Narseo Vallina-Rodriguez (ICSI-Berkeley) | APRICOT 2015 Plenary | 03/2015
The uncertain mobile future
2
IoT
Video 

streaming
Augmented

Reality
+
Narseo Vallina-Rodriguez (ICSI-Berkeley) | APRICOT 2015 Plenary | 03/2015
Anticipating future traffic demands
3
• LTE deployment
• Network sharing agreements
• IPv6 support
• Peering (Cloud-mobile integration)
• LTE-Direct
• WiFi off-loading
?1
Can we improve user’s network
experience by understanding how
networks actually work and how
applications behave?
Narseo Vallina-Rodriguez (ICSI-Berkeley) | APRICOT 2015 Plenary | 03/2015
Measuring mobile performance: 

Classic E2E Model
User

paris.myisp.com
Web Server
www.moscow.com
5
Uplink: 2.10 Mbps
Downlink: 6.06 Mbps
RTT: 112 ms
Loss: 0.1 %
Narseo Vallina-Rodriguez (ICSI-Berkeley) | APRICOT 2015 Plenary | 03/2015
User

paris.myisp.com
Web Server
www.moscow.com
Hidden

Proxies
Bufferbloat
Handset
configuration
MTU
Carte Figurative des Pertes Successives en hommes de 

l’Armée Francaise dans la Campagne de Russie (1812-1813)
— Charles Minard.1869
CGNs
EDNS
support
DNSSEC
Caches
and CDNs
How the (mobile) Internet really is
6
IPv6
2
The ICSI Netalyzr Project
Narseo Vallina-Rodriguez (ICSI-Berkeley) | APRICOT 2015 Plenary | 03/2015
• User-run tool to diagnose connectivity
characteristics from the edge of the Internet
• Checks for behavioral anomalies, network
properties, privacy and security issues for
[everybody]
• Runs more than 120 tests
• Started in 2009 as a JAVA applet
• 1.6M sessions, 170 countries
• Native Android version since November 2013
• 29K installs, 130 countries
The ICSI Netalyzr Story
8
The ICSI Netalyzr
Project 

sponsors:
Narseo Vallina-Rodriguez (ICSI-Berkeley) | APRICOT 2015 Plenary | 03/2015
• Large footprint (large number of operators and countries)
• High fidelity data:
• Full control of both end-points
• “You measure what you see!”
• Ability to collect contextual information
• Research outcome: ACM IMC, PAM, ACM CoNEXT, ACM
MobiSys, USENIX FOCI, …
9
Advantages of measuring from the
“edge” of the network
33
Preliminary observations
Narseo Vallina-Rodriguez (ICSI-Berkeley) | APRICOT 2015 Plenary | 03/2015
Latency(ms)
0
50
100
150
200
HSPA+ LTE
RAN Latency GGSN/P-GW Latency
Default DNS Latency OpenDNS Latency
GoogleDNS Latency Akamai CDN Latency
11
RAN latency
vs IP latency
?
Narseo Vallina-Rodriguez (ICSI-Berkeley) | APRICOT 2015 Plenary | 03/2015 12
RAN latency
vs IP latency
CDN /

EDNS
IDENTIFIED LOCAL 

AKAMAI CACHE
IDENTIFIED LOCAL

GOOGLE CACHE
EDNS SUPPORT
0 25 50 75 100
% OF OPERATORS
Narseo Vallina-Rodriguez (ICSI-Berkeley) | APRICOT 2015 Plenary | 03/2015
• Complex and/or heterodox network deployments
• Low number of P-GW/GGSNs per operator: higher RTT
• Testimonial IPv6 support (including DNS)
13
RAN latency
vs IP latencyIP deployment
Narseo Vallina-Rodriguez (ICSI-Berkeley) | APRICOT 2015 Plenary | 03/2015 14
3
Proxies MUST use the HTTP VIA header (RFC 2616)
Hidden HTTP
proxies
HTTP PROXY
HEADER 

MODIFICATION
IMAGE 

TRANSCODING
FOLLOWS URL
PRIVACY 

LEAKS
0 25 50 75 100
% OF OPERATORS
34
Conclusions and
next steps
Narseo Vallina-Rodriguez (ICSI-Berkeley) | APRICOT 2015 Plenary | 03/2015
• Can we measure performance with a single metric?
• Fixing the IP Core can also improve user’s Internet
experience, privacy and security
• Understanding mobile traffic:
• How do mobile traffic and the network behave “in the wild”?
• What is the IoT?
16
Conclusions and next steps
Try Netalyzr and tell us what
you’d like to know about
your network!
17
narseo@icsi.berkeley.edu
netalyzr-help@icsi.berkeley.edu
http://www.netalyzr.icsi.berkely.edu/publications
Narseo Vallina-Rodriguez (ICSI-Berkeley) | APRICOT 2015 Plenary | 03/2015 18
3
• 8% of mobile operators leak personal information in HTTP
headers:
• IMEI/IMSI/MSISDN
• Perma-cookies: x-uidh, x-acr
• “User monetization”
• Enables user tracking by malicious parties
User’s
privacy

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Beyond the radio: Exploring the terra incognita of mobile networks with the ICSI Netalyzr

  • 1. APRICOT 2015 Plenary | 03/2015 Narseo Vallina-Rodriguez ICSI-Berkeley Beyond the radio: Exploring the terra incognita of mobile networks with the ICSI Netalyzr Work done in collaboration with: Srikanth Sundaresan, Christian Kreibich, Nicholas Weaver and Vern Paxson
  • 2. Narseo Vallina-Rodriguez (ICSI-Berkeley) | APRICOT 2015 Plenary | 03/2015 The uncertain mobile future 2 IoT Video 
 streaming Augmented
 Reality +
  • 3. Narseo Vallina-Rodriguez (ICSI-Berkeley) | APRICOT 2015 Plenary | 03/2015 Anticipating future traffic demands 3 • LTE deployment • Network sharing agreements • IPv6 support • Peering (Cloud-mobile integration) • LTE-Direct • WiFi off-loading
  • 4. ?1 Can we improve user’s network experience by understanding how networks actually work and how applications behave?
  • 5. Narseo Vallina-Rodriguez (ICSI-Berkeley) | APRICOT 2015 Plenary | 03/2015 Measuring mobile performance: 
 Classic E2E Model User
 paris.myisp.com Web Server www.moscow.com 5 Uplink: 2.10 Mbps Downlink: 6.06 Mbps RTT: 112 ms Loss: 0.1 %
  • 6. Narseo Vallina-Rodriguez (ICSI-Berkeley) | APRICOT 2015 Plenary | 03/2015 User
 paris.myisp.com Web Server www.moscow.com Hidden
 Proxies Bufferbloat Handset configuration MTU Carte Figurative des Pertes Successives en hommes de 
 l’Armée Francaise dans la Campagne de Russie (1812-1813) — Charles Minard.1869 CGNs EDNS support DNSSEC Caches and CDNs How the (mobile) Internet really is 6 IPv6
  • 8. Narseo Vallina-Rodriguez (ICSI-Berkeley) | APRICOT 2015 Plenary | 03/2015 • User-run tool to diagnose connectivity characteristics from the edge of the Internet • Checks for behavioral anomalies, network properties, privacy and security issues for [everybody] • Runs more than 120 tests • Started in 2009 as a JAVA applet • 1.6M sessions, 170 countries • Native Android version since November 2013 • 29K installs, 130 countries The ICSI Netalyzr Story 8 The ICSI Netalyzr Project 
 sponsors:
  • 9. Narseo Vallina-Rodriguez (ICSI-Berkeley) | APRICOT 2015 Plenary | 03/2015 • Large footprint (large number of operators and countries) • High fidelity data: • Full control of both end-points • “You measure what you see!” • Ability to collect contextual information • Research outcome: ACM IMC, PAM, ACM CoNEXT, ACM MobiSys, USENIX FOCI, … 9 Advantages of measuring from the “edge” of the network
  • 11. Narseo Vallina-Rodriguez (ICSI-Berkeley) | APRICOT 2015 Plenary | 03/2015 Latency(ms) 0 50 100 150 200 HSPA+ LTE RAN Latency GGSN/P-GW Latency Default DNS Latency OpenDNS Latency GoogleDNS Latency Akamai CDN Latency 11 RAN latency vs IP latency ?
  • 12. Narseo Vallina-Rodriguez (ICSI-Berkeley) | APRICOT 2015 Plenary | 03/2015 12 RAN latency vs IP latency CDN /
 EDNS IDENTIFIED LOCAL 
 AKAMAI CACHE IDENTIFIED LOCAL
 GOOGLE CACHE EDNS SUPPORT 0 25 50 75 100 % OF OPERATORS
  • 13. Narseo Vallina-Rodriguez (ICSI-Berkeley) | APRICOT 2015 Plenary | 03/2015 • Complex and/or heterodox network deployments • Low number of P-GW/GGSNs per operator: higher RTT • Testimonial IPv6 support (including DNS) 13 RAN latency vs IP latencyIP deployment
  • 14. Narseo Vallina-Rodriguez (ICSI-Berkeley) | APRICOT 2015 Plenary | 03/2015 14 3 Proxies MUST use the HTTP VIA header (RFC 2616) Hidden HTTP proxies HTTP PROXY HEADER 
 MODIFICATION IMAGE 
 TRANSCODING FOLLOWS URL PRIVACY 
 LEAKS 0 25 50 75 100 % OF OPERATORS
  • 16. Narseo Vallina-Rodriguez (ICSI-Berkeley) | APRICOT 2015 Plenary | 03/2015 • Can we measure performance with a single metric? • Fixing the IP Core can also improve user’s Internet experience, privacy and security • Understanding mobile traffic: • How do mobile traffic and the network behave “in the wild”? • What is the IoT? 16 Conclusions and next steps
  • 17. Try Netalyzr and tell us what you’d like to know about your network! 17 narseo@icsi.berkeley.edu netalyzr-help@icsi.berkeley.edu http://www.netalyzr.icsi.berkely.edu/publications
  • 18. Narseo Vallina-Rodriguez (ICSI-Berkeley) | APRICOT 2015 Plenary | 03/2015 18 3 • 8% of mobile operators leak personal information in HTTP headers: • IMEI/IMSI/MSISDN • Perma-cookies: x-uidh, x-acr • “User monetization” • Enables user tracking by malicious parties User’s privacy