DPBSV - An efficient and secure scheme for big sensing data stream

Deepak Puthal; Surya Nepal; Rajiv Ranjan; Jinjun Chen

doi:10.1109/Trustcom.2015.381

DPBSV - An efficient and secure scheme for big sensing data stream

Deepak Puthal, Surya Nepal, Rajiv Ranjan, Jinjun Chen

Electrical Engineering

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

26 Scopus citations

Abstract

Stream processing has become an important paradigm for the massive real-time processing of continuous data flows in large scale sensor networks. While dealing with big data streams in sensor networks, Stream Processing Engines (SPEs) must always verify the authenticity, and integrity of the data as the medium of communication is untrusted, as malicious attackers could access and modify the data. Existing technologies for data security verification are not suitable for data streaming applications, as the verification in real time introduces significant overheads. In this paper, we propose a Dynamic Prime Number Based Security Verification (DPBSV) scheme for big data stream processing. Our scheme is based on a common shared key that is updated dynamically by generating synchronized pairs of prime numbers. Theoretical analyses and experimental results of our DPBSV scheme show that it can significantly improve the efficiency as compared to existing approaches by reducing the security verification overhead. Our approach not only reduces the verification time, but also strengthens the security of the data by constantly updating the shared keys.

Original language	British English
Title of host publication	Proceedings - 14th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	246-253
Number of pages	8
ISBN (Electronic)	9781467379519
DOIs	https://doi.org/10.1109/Trustcom.2015.381
State	Published - 2 Dec 2015
Event	14th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2015 - Helsinki, Finland Duration: 20 Aug 2015 → 22 Aug 2015

Publication series

Name	Proceedings - 14th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2015
Volume	1

Conference

Conference	14th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2015
Country/Territory	Finland
City	Helsinki
Period	20/08/15 → 22/08/15

Keywords

Big Data Stream
Cloud Computing
Key Exchange
Security
Sensor Networks

Access to Document

10.1109/Trustcom.2015.381

Cite this

Puthal, D., Nepal, S., Ranjan, R., & Chen, J. (2015). DPBSV - An efficient and secure scheme for big sensing data stream. In Proceedings - 14th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2015 (pp. 246-253). Article 7345289 (Proceedings - 14th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2015; Vol. 1). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/Trustcom.2015.381

Puthal, Deepak ; Nepal, Surya ; Ranjan, Rajiv et al. / DPBSV - An efficient and secure scheme for big sensing data stream. Proceedings - 14th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2015. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 246-253 (Proceedings - 14th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2015).

@inproceedings{6e9e16ccfb26479b9688ffacbc652132,

title = "DPBSV - An efficient and secure scheme for big sensing data stream",

abstract = "Stream processing has become an important paradigm for the massive real-time processing of continuous data flows in large scale sensor networks. While dealing with big data streams in sensor networks, Stream Processing Engines (SPEs) must always verify the authenticity, and integrity of the data as the medium of communication is untrusted, as malicious attackers could access and modify the data. Existing technologies for data security verification are not suitable for data streaming applications, as the verification in real time introduces significant overheads. In this paper, we propose a Dynamic Prime Number Based Security Verification (DPBSV) scheme for big data stream processing. Our scheme is based on a common shared key that is updated dynamically by generating synchronized pairs of prime numbers. Theoretical analyses and experimental results of our DPBSV scheme show that it can significantly improve the efficiency as compared to existing approaches by reducing the security verification overhead. Our approach not only reduces the verification time, but also strengthens the security of the data by constantly updating the shared keys.",

keywords = "Big Data Stream, Cloud Computing, Key Exchange, Security, Sensor Networks",

author = "Deepak Puthal and Surya Nepal and Rajiv Ranjan and Jinjun Chen",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 14th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2015 ; Conference date: 20-08-2015 Through 22-08-2015",

year = "2015",

month = dec,

day = "2",

doi = "10.1109/Trustcom.2015.381",

language = "British English",

series = "Proceedings - 14th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2015",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "246--253",

booktitle = "Proceedings - 14th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2015",

address = "United States",

}

Puthal, D, Nepal, S, Ranjan, R & Chen, J 2015, DPBSV - An efficient and secure scheme for big sensing data stream. in Proceedings - 14th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2015., 7345289, Proceedings - 14th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2015, vol. 1, Institute of Electrical and Electronics Engineers Inc., pp. 246-253, 14th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2015, Helsinki, Finland, 20/08/15. https://doi.org/10.1109/Trustcom.2015.381

DPBSV - An efficient and secure scheme for big sensing data stream. / Puthal, Deepak; Nepal, Surya; Ranjan, Rajiv et al.
Proceedings - 14th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 246-253 7345289 (Proceedings - 14th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2015; Vol. 1).

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

TY - GEN

T1 - DPBSV - An efficient and secure scheme for big sensing data stream

AU - Puthal, Deepak

AU - Nepal, Surya

AU - Ranjan, Rajiv

AU - Chen, Jinjun

PY - 2015/12/2

Y1 - 2015/12/2

N2 - Stream processing has become an important paradigm for the massive real-time processing of continuous data flows in large scale sensor networks. While dealing with big data streams in sensor networks, Stream Processing Engines (SPEs) must always verify the authenticity, and integrity of the data as the medium of communication is untrusted, as malicious attackers could access and modify the data. Existing technologies for data security verification are not suitable for data streaming applications, as the verification in real time introduces significant overheads. In this paper, we propose a Dynamic Prime Number Based Security Verification (DPBSV) scheme for big data stream processing. Our scheme is based on a common shared key that is updated dynamically by generating synchronized pairs of prime numbers. Theoretical analyses and experimental results of our DPBSV scheme show that it can significantly improve the efficiency as compared to existing approaches by reducing the security verification overhead. Our approach not only reduces the verification time, but also strengthens the security of the data by constantly updating the shared keys.

AB - Stream processing has become an important paradigm for the massive real-time processing of continuous data flows in large scale sensor networks. While dealing with big data streams in sensor networks, Stream Processing Engines (SPEs) must always verify the authenticity, and integrity of the data as the medium of communication is untrusted, as malicious attackers could access and modify the data. Existing technologies for data security verification are not suitable for data streaming applications, as the verification in real time introduces significant overheads. In this paper, we propose a Dynamic Prime Number Based Security Verification (DPBSV) scheme for big data stream processing. Our scheme is based on a common shared key that is updated dynamically by generating synchronized pairs of prime numbers. Theoretical analyses and experimental results of our DPBSV scheme show that it can significantly improve the efficiency as compared to existing approaches by reducing the security verification overhead. Our approach not only reduces the verification time, but also strengthens the security of the data by constantly updating the shared keys.

KW - Big Data Stream

KW - Cloud Computing

KW - Key Exchange

KW - Security

KW - Sensor Networks

UR - http://www.scopus.com/inward/record.url?scp=84967144040&partnerID=8YFLogxK

U2 - 10.1109/Trustcom.2015.381

DO - 10.1109/Trustcom.2015.381

M3 - Conference contribution

AN - SCOPUS:84967144040

T3 - Proceedings - 14th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2015

SP - 246

EP - 253

BT - Proceedings - 14th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2015

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 14th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2015

Y2 - 20 August 2015 through 22 August 2015

ER -

Puthal D, Nepal S, Ranjan R, Chen J. DPBSV - An efficient and secure scheme for big sensing data stream. In Proceedings - 14th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 246-253. 7345289. (Proceedings - 14th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2015). doi: 10.1109/Trustcom.2015.381

DPBSV - An efficient and secure scheme for big sensing data stream

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this