Integrity protection for big data processing with dynamic redundancy computation

Zhimin Gao; Nicholas Desalvo; Pham Dang Khoa; Seung Hun Kim; Lei Xu; Won Woo Ro; Rakesh M. Verma; Weidong Shi

doi:10.1109/ICAC.2015.34

Integrity protection for big data processing with dynamic redundancy computation

Zhimin Gao, Nicholas Desalvo, Pham Dang Khoa, Seung Hun Kim, Lei Xu, Won Woo Ro, Rakesh M. Verma, Weidong Shi

Department of Electrical and Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Citations (Scopus)

Abstract

Big data is a hot topic and has found various applications in different areas such as scientific research, financial analysis, and market studies. The development of cloud computing technology provides an adequate platform for big data applications. No matter public or private, the outsourcing and sharing characteristics of the computation model make security a big concern for big data processing in the cloud. Most existing works focus on protection of data privacy but integrity protection of the processing procedure receives little attention, which may lead the big data application user to wrong conclusions and cause serious consequences. To address this challenge, we design an integrity protection solution for big data processing in cloud environments using reputation based redundancy computation. The implementation and experiment results show that the solution only adds limited cost to achieve integrity protection and is practical for real world applications.

Original language	English
Title of host publication	Proceedings - IEEE International Conference on Autonomic Computing, ICAC 2015
Editors	Philippe Lalanda, Samuel Kounev, Ada Diaconescu, Lucy Cherkasova
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	159-160
Number of pages	2
ISBN (Electronic)	9781467369701
DOIs	https://doi.org/10.1109/ICAC.2015.34
Publication status	Published - 2015 Sept 14
Event	12th IEEE International Conference on Autonomic Computing, ICAC 2015 - Grenoble, France Duration: 2015 Jul 7 → 2015 Jul 10

Publication series

Name	Proceedings - IEEE International Conference on Autonomic Computing, ICAC 2015

Other

Other	12th IEEE International Conference on Autonomic Computing, ICAC 2015
Country/Territory	France
City	Grenoble
Period	15/7/7 → 15/7/10

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

All Science Journal Classification (ASJC) codes

Artificial Intelligence
Computer Networks and Communications
Software
Control and Systems Engineering

Access to Document

10.1109/ICAC.2015.34

Cite this

Gao, Z., Desalvo, N., Khoa, P. D., Kim, S. H., Xu, L., Ro, W. W., Verma, R. M., & Shi, W. (2015). Integrity protection for big data processing with dynamic redundancy computation. In P. Lalanda, S. Kounev, A. Diaconescu, & L. Cherkasova (Eds.), Proceedings - IEEE International Conference on Autonomic Computing, ICAC 2015 (pp. 159-160). Article 7266957 (Proceedings - IEEE International Conference on Autonomic Computing, ICAC 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICAC.2015.34

Gao, Zhimin ; Desalvo, Nicholas ; Khoa, Pham Dang et al. / Integrity protection for big data processing with dynamic redundancy computation. Proceedings - IEEE International Conference on Autonomic Computing, ICAC 2015. editor / Philippe Lalanda ; Samuel Kounev ; Ada Diaconescu ; Lucy Cherkasova. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 159-160 (Proceedings - IEEE International Conference on Autonomic Computing, ICAC 2015).

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abstract = "Big data is a hot topic and has found various applications in different areas such as scientific research, financial analysis, and market studies. The development of cloud computing technology provides an adequate platform for big data applications. No matter public or private, the outsourcing and sharing characteristics of the computation model make security a big concern for big data processing in the cloud. Most existing works focus on protection of data privacy but integrity protection of the processing procedure receives little attention, which may lead the big data application user to wrong conclusions and cause serious consequences. To address this challenge, we design an integrity protection solution for big data processing in cloud environments using reputation based redundancy computation. The implementation and experiment results show that the solution only adds limited cost to achieve integrity protection and is practical for real world applications.",

author = "Zhimin Gao and Nicholas Desalvo and Khoa, {Pham Dang} and Kim, {Seung Hun} and Lei Xu and Ro, {Won Woo} and Verma, {Rakesh M.} and Weidong Shi",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 12th IEEE International Conference on Autonomic Computing, ICAC 2015 ; Conference date: 07-07-2015 Through 10-07-2015",

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doi = "10.1109/ICAC.2015.34",

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Gao, Z, Desalvo, N, Khoa, PD, Kim, SH, Xu, L, Ro, WW, Verma, RM & Shi, W 2015, Integrity protection for big data processing with dynamic redundancy computation. in P Lalanda, S Kounev, A Diaconescu & L Cherkasova (eds), Proceedings - IEEE International Conference on Autonomic Computing, ICAC 2015., 7266957, Proceedings - IEEE International Conference on Autonomic Computing, ICAC 2015, Institute of Electrical and Electronics Engineers Inc., pp. 159-160, 12th IEEE International Conference on Autonomic Computing, ICAC 2015, Grenoble, France, 15/7/7. https://doi.org/10.1109/ICAC.2015.34

Integrity protection for big data processing with dynamic redundancy computation. / Gao, Zhimin; Desalvo, Nicholas; Khoa, Pham Dang et al.
Proceedings - IEEE International Conference on Autonomic Computing, ICAC 2015. ed. / Philippe Lalanda; Samuel Kounev; Ada Diaconescu; Lucy Cherkasova. Institute of Electrical and Electronics Engineers Inc., 2015. p. 159-160 7266957 (Proceedings - IEEE International Conference on Autonomic Computing, ICAC 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Gao Z, Desalvo N, Khoa PD, Kim SH, Xu L, Ro WW et al. Integrity protection for big data processing with dynamic redundancy computation. In Lalanda P, Kounev S, Diaconescu A, Cherkasova L, editors, Proceedings - IEEE International Conference on Autonomic Computing, ICAC 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 159-160. 7266957. (Proceedings - IEEE International Conference on Autonomic Computing, ICAC 2015). doi: 10.1109/ICAC.2015.34

Integrity protection for big data processing with dynamic redundancy computation

Abstract

Publication series

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Bibliographical note

All Science Journal Classification (ASJC) codes

Access to Document

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