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Price of Sensor Data in Participatory Sensing Yoshito Tobe Yoshito Tobe Aoyama Gakuin University Japan

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Page 1: Price of Sensor Data in Participatory Sensing · • V2: Value of post-sensed data with elapsed time • V3: Value of pre-sensed data in spatial ... Remote tracking and control

Price of Sensor Datain Participatory Sensing

Yoshito TobeYoshito Tobe

Aoyama Gakuin University

Japan

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SENSORIZED City

Social Phenomena Natural Phenomena

Real-Time, Real-World

Dynamic

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Utilization of Human's Behavior

• Behavior

– taking photos

– moving– moving

• Daily Activities

– Shopping

• Non-Daily Activities

– Sightseeing

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Human Probes

Data StandData Stand

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Umbrella Human Probes[TDU,2005]

Movement ofopening

umbrellas

GPS,Sensors,Wearable PC

Internet

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Value

• V1: Value of pre-sensed data with sensed time

• V2: Value of post-sensed data with elapsedtime

• V3: Value of pre-sensed data in spatialcorrelationcorrelation

• V4: Value of post-sensed data in spatialcorrelation

• V5: Value of pre-sensed data from demand

• V6: Value of post-sensed data from demand

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Value of pre-sensed data with sensed time

value

time

Previous sensingtime

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Value of post-sensed data with elapsed time

value

time

sensingtime

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Value of data in spatial correlation

POI1POI2

POI3

POI4 POI5POI6

POI3

POI7

Value(POIi) = Σ Aij * Value (POIj)

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Value from Demand

POI1POI2

POI3

POI4 POI5POI6

POI7

Value(POIi) = How much data(POIi)is requested

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Utility Function

time

sensing sensing

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Panel SMART:

Smart Environments:

How Smart Can They Be?

h_da HOCHSCHULE DARMSTADTUNIVERSITY OF APPLIED SCIENCES

© Prof. Dr. M. MassothFB Informatik

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How Smart Can They Be?

Michael Massoth

University of Applied Sciences Darmstadt

Department of Computer Science, Germany

SMART 2013, 25th June, Rome, Italy

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We will become smarter☺

Remote tracking and control

Location Based Services

h_da HOCHSCHULE DARMSTADTUNIVERSITY OF APPLIED SCIENCES

© Prof. Dr. M. MassothFB Informatik

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Mobile social networks

Augmented Reality

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Traffic will become more safe

Car2Car Communicationhttp://www.car-to-car.org/

h_da HOCHSCHULE DARMSTADTUNIVERSITY OF APPLIED SCIENCES

© Prof. Dr. M. MassothFB Informatik

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Industry will become more safe

Example: Collaborative business items (CoBis)http://www.cobis-online.de

h_da HOCHSCHULE DARMSTADTUNIVERSITY OF APPLIED SCIENCES

© Prof. Dr. M. MassothFB Informatik

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Cities become more "intelligent"

Smart-City-Conzeptz.B. http://www.smartsantander.eu

h_da HOCHSCHULE DARMSTADTUNIVERSITY OF APPLIED SCIENCES

© Prof. Dr. M. MassothFB Informatik

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©D

ERSP

IEG

EL1

1/2

01

3

Smart Cities as sourcefor Big Data

Smart Cities as sourcefor Big Data

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Critical: Privacy and Data Protection

..., these systems bring about so far inconceivable..., these systems bring about so far inconceivable

"Ubicomp might lead directly to a future of safe,efficient, soulless, and merciless universalsurveillance" (Rheingold 1994)

"Ubicomp might lead directly to a future of safe,efficient, soulless, and merciless universalsurveillance" (Rheingold 1994)

h_da HOCHSCHULE DARMSTADTUNIVERSITY OF APPLIED SCIENCES

© Prof. Dr. M. MassothFB Informatik

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..., these systems bring about so far inconceivablelevels of surveillance, collection of personal data,their merging and continuous transfer andprocessing, creating unprecedented threats toprivacy and data protection (Cas 2011)

..., these systems bring about so far inconceivablelevels of surveillance, collection of personal data,their merging and continuous transfer andprocessing, creating unprecedented threats toprivacy and data protection (Cas 2011)

• Cas (2011). Ubiquitous Computing, Privacy and Data Protection: Options and Limitations to Reconcile theUnprecedented Contradictions. In Computers, privacy and data protection: an element of choice. SpringerNetherlands.

• Rheingold, H. (1994). PARC is Back. Wired 2.02. Available fromhttp://www.wired.com/wired/archive/2.02/parc_pr.html

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Risk: http://pleaserobme.com

h_da HOCHSCHULE DARMSTADTUNIVERSITY OF APPLIED SCIENCES

© Prof. Dr. M. MassothFB Informatik

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Risk: http://icanstalku.com

h_da HOCHSCHULE DARMSTADTUNIVERSITY OF APPLIED SCIENCES

© Prof. Dr. M. MassothFB Informatik

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Risk: Tracking devices

http://www.boycottgillette.com/

h_da HOCHSCHULE DARMSTADTUNIVERSITY OF APPLIED SCIENCES

© Prof. Dr. M. MassothFB Informatik

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Protection of Privacy ?

Mark Zuckerberg, Januar 2010, CEO & Founder, Facebook:

People have really gotten comfortable not only sharing moreinformation and different kinds, but more openly and with morepeople. That social norm is just something that has evolvedover time.

h_da HOCHSCHULE DARMSTADTUNIVERSITY OF APPLIED SCIENCES

© Prof. Dr. M. MassothFB Informatik

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Eric Schmidt, Dezember 2009, CEO, Google:

If you have something that you don't want anyone toknow, maybe you shouldn't be doing it in the first place. Ifyou really need that kind of privacy, the reality is that searchengines – including Google – do retain this information forsome time and it's important, for example, that we are allsubject in the United States to the Patriot Act and it is possiblethat all that information could be made available to theauthorities.

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Privacy Protection is interdisciplinary

h_da HOCHSCHULE DARMSTADTUNIVERSITY OF APPLIED SCIENCES

© Prof. Dr. M. MassothFB Informatik

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Source: The Internet of Things - International Telecommunication Union (ITU)Internet Report, 2005

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THANK YOU VERY MUCH FORYOUR ATTENTION!

h_da HOCHSCHULE DARMSTADTUNIVERSITY OF APPLIED SCIENCES

12 © Prof. Dr. M. MassothFB Informatik

YOUR ATTENTION!

Any Questions

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Panel SMART: Smart Environments: How Smart Can They Be?

Mining process in SE ?

Abdenour Bouzouane

[email protected]

Université du Québec à Chicoutimi, Canada

SMART 2013

1

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Built-in mining cycle

Systematic integration of the mining process in every daily life objects !

SMART 2013

2

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The dilemma…futur ?

• Many research projects with great results but there does not seem to be a system:

Learns quickly from few examples ? High accuracy and independance of the domain ? Delivers an understandable user profile ? ….

SMART 2013

3