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Smart City/Community
Services and Infrastructures
in Saitama City
Prof. of Keio University
Chair person of Misono Town Management Consortium
President of Omotenashi ICT Consortium
Director of Edge Platform Consortium
Hiroaki Nishi
(15-20mins)
UDCMi
Urban Design Center Misono
 Smart City / Town Project
@Saitama City
 320ha around Urawa-Misono Station
 Planed population 30,000 (7,000)
 Urban Design Center Misono
 Center for smart town services
 Members
 Saitama City
 Keio Univ., Kougakuin Univ., Shibaura Tech Univ., Tokyo Denki Univ.
 AEON Retiling Group, Softbank, Tokyo Gus, IBM Japan, Felica Pocket
Marketing, Tanita, Panasonic, Mitsubishi
Local house building companies, Local banks
(32 companies and organizations)
2
Keio Univ.UDCMi Edge
HGW
Smart house with Home
energy management system
EMS (TOSHIBA)
EMS (Panasonic)
Residential Area
BLE
BLE positioning system
Town Area
Distributed PV
management
e-money card (AEON)
Health information
(TANITA)
Smart Meter
Reader (IIJ)
Smart Meter
Providing new Smart City services
 UDCMi system provides flexible application
program execution environment.
 Supports on-the-fly anonymization
 Encapsulation of private information
 Relationship management (service venders
and users)
Bicycle
(AEON) Pet
(AEON) Collision avoidance
(HONDA)
watching children
go to school
UDCMi Services
Commercial Area
Town security (SECOM)
3
BLE Positioning Service
4
Target Area
BEL Antennas (BLE Spot)
 140 BLE Spots are
implemented in the target area
 Expected resolution is about
10m error
 Ready for 2 years without any
battery charge or change
 Internet communication is not
necessary
5
Health Monitoring Service
6
Activity meter
powered by
e-money card
e-money card
with medical
records
Temp., Humid., Illumi.
sensor
IrDA signal
Receiver/transmitter
Indoor globe temp. Sensor
LED indicator
Floor, windows temp.
sensor
Smart Meter Reader
iPad BLE Beacon
Outdoor
environment
PM2.5 sensor
HEMS Monitor
Carbon dioxide sensor
Home Energy management System
7
8
Smart Community Data Privacy/Security
Analyze and store at remote
Create at local
Use at local
Smart City
Data
Data
Data
Private Data
Local Data
Data
 Single Point of Failure Problem
 Possibility of Advanced Persistent
Threat
 Data creators at smart city must
take measures against cyber
attacks as well as cloud services
Cloud
9
Smart Community Data Privacy/Security
Cloud
 Share appropriately anonymized
data only
 Private data is encapsulated in
local areas
 Locally provide private services
and globally provide common
services
 Cyber attack cost becomes high
Create at local
Store at local
Analyze at local
Use at local
Anonymize at
local
Globally analyze and store at remote
Data
Data
Data
Share data for global service
Local services
Local services
Data
Smart City
Private Data
Local Data
Smart Community Information Platform
10
CloudEdge / FogHome
Gateway
IoT Devices
Small Terminal
Sensors
Smart Meter
Service Application
ASCA
Anonymization
Watermark Printing
Use of Cloud Service (Conventional)
Service Migration to Fog (Advanced)
No need to
change DIP address
and protocols
ASCA ASCA
Service Migration to Fog (Proposed)
ASCA at Gateway/Switch/Router
11
A1
B1
C1
D1
A2
B2
C2
D2
A3
B3
D3 D4
A1 B1 C1 D1 A2B2 C2D2 A3B3 D3 D4
Memory Efficient
TCP stream reconstruction
A
B
C
D
REGEX-based
Stream Matching
On-memory
Result DB
Packet Routing
User Application
A1 B1 C1 D1 A2B2 C2D2 A3B3 D3 D4
Signature DB
Routing
Table
Contents
DB
Pattern Matching
Authorized Stream Contents Analysis
ASCA (Authorized Stream Contents Analysis) for analyzing reconstructed TCP streams
 Authorized applications on gateway, switch, or router share SSL key with Cloud
 ASCA achieves SSL, gzip, chunk decode of +2 million TCP streams in parallel
Applications
 Protect IoT devices from intrusions by using devices located in the middle
of the Internet
 Surveillance of suspicious-looking accesses for providing proactive security
 Find and remove phishing attacks by checking routes
12
Applications
 Provide new services using user behaviors
 Solve the problem of privacy revealing and enhances the service
availability by removing privacy information
 Provide time-critical privacy-critical services at low latency by
encapsulating local data and services
13
<8ms scuttle access>1s shuttle access
AlaxalA AX5000 Service Module Card
ASCA Platform
14
μSoR (11.5 x 11.5 x 5cm)
Small size full function
DPDK + HyperScan
Juniper JunOSV AppEngine
2012
2018
2015
Software based
ASCA Router
Hardware Accelerated
ASCA router
SoR (2U x 2 + LED Panel)
DPDK + HyperScan + QAT
SoR (4U + EPON)
DPDK + HyperScan + QAT
GPGPU / ManyCore for ML
SoR on Xeon Phi Knights Mill
DPDK + HyperScan + QAT
Demonstration of VCRM
15
Demonstration of Smart Service
16
17
Thank you

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Smart City services and infrastructures in Saitama City

  • 1. 1 Smart City/Community Services and Infrastructures in Saitama City Prof. of Keio University Chair person of Misono Town Management Consortium President of Omotenashi ICT Consortium Director of Edge Platform Consortium Hiroaki Nishi (15-20mins)
  • 2. UDCMi Urban Design Center Misono  Smart City / Town Project @Saitama City  320ha around Urawa-Misono Station  Planed population 30,000 (7,000)  Urban Design Center Misono  Center for smart town services  Members  Saitama City  Keio Univ., Kougakuin Univ., Shibaura Tech Univ., Tokyo Denki Univ.  AEON Retiling Group, Softbank, Tokyo Gus, IBM Japan, Felica Pocket Marketing, Tanita, Panasonic, Mitsubishi Local house building companies, Local banks (32 companies and organizations) 2
  • 3. Keio Univ.UDCMi Edge HGW Smart house with Home energy management system EMS (TOSHIBA) EMS (Panasonic) Residential Area BLE BLE positioning system Town Area Distributed PV management e-money card (AEON) Health information (TANITA) Smart Meter Reader (IIJ) Smart Meter Providing new Smart City services  UDCMi system provides flexible application program execution environment.  Supports on-the-fly anonymization  Encapsulation of private information  Relationship management (service venders and users) Bicycle (AEON) Pet (AEON) Collision avoidance (HONDA) watching children go to school UDCMi Services Commercial Area Town security (SECOM) 3
  • 5. BEL Antennas (BLE Spot)  140 BLE Spots are implemented in the target area  Expected resolution is about 10m error  Ready for 2 years without any battery charge or change  Internet communication is not necessary 5
  • 6. Health Monitoring Service 6 Activity meter powered by e-money card e-money card with medical records
  • 7. Temp., Humid., Illumi. sensor IrDA signal Receiver/transmitter Indoor globe temp. Sensor LED indicator Floor, windows temp. sensor Smart Meter Reader iPad BLE Beacon Outdoor environment PM2.5 sensor HEMS Monitor Carbon dioxide sensor Home Energy management System 7
  • 8. 8 Smart Community Data Privacy/Security Analyze and store at remote Create at local Use at local Smart City Data Data Data Private Data Local Data Data  Single Point of Failure Problem  Possibility of Advanced Persistent Threat  Data creators at smart city must take measures against cyber attacks as well as cloud services Cloud
  • 9. 9 Smart Community Data Privacy/Security Cloud  Share appropriately anonymized data only  Private data is encapsulated in local areas  Locally provide private services and globally provide common services  Cyber attack cost becomes high Create at local Store at local Analyze at local Use at local Anonymize at local Globally analyze and store at remote Data Data Data Share data for global service Local services Local services Data Smart City Private Data Local Data
  • 10. Smart Community Information Platform 10 CloudEdge / FogHome Gateway IoT Devices Small Terminal Sensors Smart Meter Service Application ASCA Anonymization Watermark Printing Use of Cloud Service (Conventional) Service Migration to Fog (Advanced) No need to change DIP address and protocols ASCA ASCA Service Migration to Fog (Proposed)
  • 11. ASCA at Gateway/Switch/Router 11 A1 B1 C1 D1 A2 B2 C2 D2 A3 B3 D3 D4 A1 B1 C1 D1 A2B2 C2D2 A3B3 D3 D4 Memory Efficient TCP stream reconstruction A B C D REGEX-based Stream Matching On-memory Result DB Packet Routing User Application A1 B1 C1 D1 A2B2 C2D2 A3B3 D3 D4 Signature DB Routing Table Contents DB Pattern Matching Authorized Stream Contents Analysis ASCA (Authorized Stream Contents Analysis) for analyzing reconstructed TCP streams  Authorized applications on gateway, switch, or router share SSL key with Cloud  ASCA achieves SSL, gzip, chunk decode of +2 million TCP streams in parallel
  • 12. Applications  Protect IoT devices from intrusions by using devices located in the middle of the Internet  Surveillance of suspicious-looking accesses for providing proactive security  Find and remove phishing attacks by checking routes 12
  • 13. Applications  Provide new services using user behaviors  Solve the problem of privacy revealing and enhances the service availability by removing privacy information  Provide time-critical privacy-critical services at low latency by encapsulating local data and services 13 <8ms scuttle access>1s shuttle access
  • 14. AlaxalA AX5000 Service Module Card ASCA Platform 14 μSoR (11.5 x 11.5 x 5cm) Small size full function DPDK + HyperScan Juniper JunOSV AppEngine 2012 2018 2015 Software based ASCA Router Hardware Accelerated ASCA router SoR (2U x 2 + LED Panel) DPDK + HyperScan + QAT SoR (4U + EPON) DPDK + HyperScan + QAT GPGPU / ManyCore for ML SoR on Xeon Phi Knights Mill DPDK + HyperScan + QAT