Secure data processing framework for mobile cloud computing

Dijiang Huang, Zhibin Zhou, Le Xu, Tianyi Xing, Yunji Zhong

Research output: Chapter in Book/Report/Conference proceedingConference contribution

78 Citations (Scopus)

Abstract

In mobile cloud computing, mobile devices can rely on cloud computing and information storage resource to perform computationally intensive operations such as searching, data mining, and multimedia processing. In addition to providing traditional computation services, mobile cloud also enhances the operation of traditional ad hoc network by treating mobile devices as service nodes, e.g., sensing services. The sensed information, such as location coordinates, health related information, should be processed and stored in a secure fashion to protect user's privacy in the cloud. To this end, we present a new mobile cloud data processing framework through trust management and private data isolation. Finally, an implementation pilot for improving teenagers' driving safety, which is called FocusDrive, is presented to demonstrate the solution.

Original languageEnglish (US)
Title of host publication2011 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2011
Pages614-618
Number of pages5
DOIs
StatePublished - 2011
Event2011 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2011 - Shanghai, China
Duration: Apr 10 2011Apr 15 2011

Other

Other2011 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2011
CountryChina
CityShanghai
Period4/10/114/15/11

Fingerprint

Mobile cloud computing
Mobile devices
Cloud computing
Ad hoc networks
Data mining
Health
Data storage equipment
multimedia
privacy
social isolation
Processing
health
management
resources

Keywords

  • Data Security
  • Mobile Cloud
  • Privacy
  • Security

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Communication

Cite this

Huang, D., Zhou, Z., Xu, L., Xing, T., & Zhong, Y. (2011). Secure data processing framework for mobile cloud computing. In 2011 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2011 (pp. 614-618). [5928886] https://doi.org/10.1109/INFCOMW.2011.5928886

Secure data processing framework for mobile cloud computing. / Huang, Dijiang; Zhou, Zhibin; Xu, Le; Xing, Tianyi; Zhong, Yunji.

2011 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2011. 2011. p. 614-618 5928886.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Huang, D, Zhou, Z, Xu, L, Xing, T & Zhong, Y 2011, Secure data processing framework for mobile cloud computing. in 2011 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2011., 5928886, pp. 614-618, 2011 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2011, Shanghai, China, 4/10/11. https://doi.org/10.1109/INFCOMW.2011.5928886
Huang D, Zhou Z, Xu L, Xing T, Zhong Y. Secure data processing framework for mobile cloud computing. In 2011 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2011. 2011. p. 614-618. 5928886 https://doi.org/10.1109/INFCOMW.2011.5928886
Huang, Dijiang ; Zhou, Zhibin ; Xu, Le ; Xing, Tianyi ; Zhong, Yunji. / Secure data processing framework for mobile cloud computing. 2011 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2011. 2011. pp. 614-618
@inproceedings{25d7a78776124cfd803cb391b8723699,
title = "Secure data processing framework for mobile cloud computing",
abstract = "In mobile cloud computing, mobile devices can rely on cloud computing and information storage resource to perform computationally intensive operations such as searching, data mining, and multimedia processing. In addition to providing traditional computation services, mobile cloud also enhances the operation of traditional ad hoc network by treating mobile devices as service nodes, e.g., sensing services. The sensed information, such as location coordinates, health related information, should be processed and stored in a secure fashion to protect user's privacy in the cloud. To this end, we present a new mobile cloud data processing framework through trust management and private data isolation. Finally, an implementation pilot for improving teenagers' driving safety, which is called FocusDrive, is presented to demonstrate the solution.",
keywords = "Data Security, Mobile Cloud, Privacy, Security",
author = "Dijiang Huang and Zhibin Zhou and Le Xu and Tianyi Xing and Yunji Zhong",
year = "2011",
doi = "10.1109/INFCOMW.2011.5928886",
language = "English (US)",
isbn = "9781457702488",
pages = "614--618",
booktitle = "2011 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2011",

}

TY - GEN

T1 - Secure data processing framework for mobile cloud computing

AU - Huang, Dijiang

AU - Zhou, Zhibin

AU - Xu, Le

AU - Xing, Tianyi

AU - Zhong, Yunji

PY - 2011

Y1 - 2011

N2 - In mobile cloud computing, mobile devices can rely on cloud computing and information storage resource to perform computationally intensive operations such as searching, data mining, and multimedia processing. In addition to providing traditional computation services, mobile cloud also enhances the operation of traditional ad hoc network by treating mobile devices as service nodes, e.g., sensing services. The sensed information, such as location coordinates, health related information, should be processed and stored in a secure fashion to protect user's privacy in the cloud. To this end, we present a new mobile cloud data processing framework through trust management and private data isolation. Finally, an implementation pilot for improving teenagers' driving safety, which is called FocusDrive, is presented to demonstrate the solution.

AB - In mobile cloud computing, mobile devices can rely on cloud computing and information storage resource to perform computationally intensive operations such as searching, data mining, and multimedia processing. In addition to providing traditional computation services, mobile cloud also enhances the operation of traditional ad hoc network by treating mobile devices as service nodes, e.g., sensing services. The sensed information, such as location coordinates, health related information, should be processed and stored in a secure fashion to protect user's privacy in the cloud. To this end, we present a new mobile cloud data processing framework through trust management and private data isolation. Finally, an implementation pilot for improving teenagers' driving safety, which is called FocusDrive, is presented to demonstrate the solution.

KW - Data Security

KW - Mobile Cloud

KW - Privacy

KW - Security

UR - http://www.scopus.com/inward/record.url?scp=79960590319&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=79960590319&partnerID=8YFLogxK

U2 - 10.1109/INFCOMW.2011.5928886

DO - 10.1109/INFCOMW.2011.5928886

M3 - Conference contribution

AN - SCOPUS:79960590319

SN - 9781457702488

SP - 614

EP - 618

BT - 2011 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2011

ER -