MSIGT: Most Significant Index Generation Technique for cloud environment

S. Raghavendra; C. M. Geeta; Rajkumar Buyya; K. R. Venugopal; S. S. Iyengar; L. M. Patnaik

doi:10.1109/INDICON.2015.7443531

MSIGT: Most Significant Index Generation Technique for cloud environment

S. Raghavendra, C. M. Geeta, Rajkumar Buyya, K. R. Venugopal, S. S. Iyengar, L. M. Patnaik

Department of Information and Communication Technology, Manipal Institute of Technology, Manipal

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

11 Citations (SciVal)

Abstract

Cloud Computing is a computing paradigm for delivering computational power, storage and applications as services via Internet on a pay-as-you-go basis to consumers. The data owner outsources local data to the public cloud server to reduce the cost of the data management. Critical data has to be encrypted to ensure privacy before outsourcing. The state-of-the-art SSE schemes search only over encrypted data through keywords, hence they do not provide effective data utilisation for large dataset files in cloud. We propose a Most Significant Index Generation Technique(MSIGT), that supports secure and efficient index generation time using a Most Significant Digit(MSD) radix sort. MSD radix sort is simple and faster in sorting array strings. A mathematical model is developed to encrypt the indexed keywords for secure index generation without the overhead of learning from the attacker/cloud provider. It is seen that the MSIGT scheme can reduce the cost of data on owner side to O(NT × 3) with a score calculation of O(NT). The proposed scheme is effective and efficient in comparison with the existing algorithms.

Original language	English
Title of host publication	12th IEEE International Conference Electronics, Energy, Environment, Communication, Computer, Control
Subtitle of host publication	(E3-C3), INDICON 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781467373999
DOIs	https://doi.org/10.1109/INDICON.2015.7443531
Publication status	Published - 29-03-2016
Event	12th IEEE International Conference Electronics, Energy, Environment, Communication, Computer, Control, INDICON 2015 - New Delhi, India Duration: 17-12-2015 → 20-12-2015

Publication series

Name	12th IEEE International Conference Electronics, Energy, Environment, Communication, Computer, Control: (E3-C3), INDICON 2015

Conference

Conference	12th IEEE International Conference Electronics, Energy, Environment, Communication, Computer, Control, INDICON 2015
Country/Territory	India
City	New Delhi
Period	17-12-15 → 20-12-15

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Hardware and Architecture
Energy Engineering and Power Technology
Renewable Energy, Sustainability and the Environment
Control and Systems Engineering
Electrical and Electronic Engineering

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/INDICON.2015.7443531

Cite this

Raghavendra, S., Geeta, C. M., Buyya, R., Venugopal, K. R., Iyengar, S. S., & Patnaik, L. M. (2016). MSIGT: Most Significant Index Generation Technique for cloud environment. In 12th IEEE International Conference Electronics, Energy, Environment, Communication, Computer, Control: (E3-C3), INDICON 2015 [7443531] (12th IEEE International Conference Electronics, Energy, Environment, Communication, Computer, Control: (E3-C3), INDICON 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/INDICON.2015.7443531

Raghavendra, S. ; Geeta, C. M. ; Buyya, Rajkumar et al. / MSIGT : Most Significant Index Generation Technique for cloud environment. 12th IEEE International Conference Electronics, Energy, Environment, Communication, Computer, Control: (E3-C3), INDICON 2015. Institute of Electrical and Electronics Engineers Inc., 2016. (12th IEEE International Conference Electronics, Energy, Environment, Communication, Computer, Control: (E3-C3), INDICON 2015).

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abstract = "Cloud Computing is a computing paradigm for delivering computational power, storage and applications as services via Internet on a pay-as-you-go basis to consumers. The data owner outsources local data to the public cloud server to reduce the cost of the data management. Critical data has to be encrypted to ensure privacy before outsourcing. The state-of-the-art SSE schemes search only over encrypted data through keywords, hence they do not provide effective data utilisation for large dataset files in cloud. We propose a Most Significant Index Generation Technique(MSIGT), that supports secure and efficient index generation time using a Most Significant Digit(MSD) radix sort. MSD radix sort is simple and faster in sorting array strings. A mathematical model is developed to encrypt the indexed keywords for secure index generation without the overhead of learning from the attacker/cloud provider. It is seen that the MSIGT scheme can reduce the cost of data on owner side to O(NT × 3) with a score calculation of O(NT). The proposed scheme is effective and efficient in comparison with the existing algorithms.",

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Raghavendra, S, Geeta, CM, Buyya, R, Venugopal, KR, Iyengar, SS & Patnaik, LM 2016, MSIGT: Most Significant Index Generation Technique for cloud environment. in 12th IEEE International Conference Electronics, Energy, Environment, Communication, Computer, Control: (E3-C3), INDICON 2015., 7443531, 12th IEEE International Conference Electronics, Energy, Environment, Communication, Computer, Control: (E3-C3), INDICON 2015, Institute of Electrical and Electronics Engineers Inc., 12th IEEE International Conference Electronics, Energy, Environment, Communication, Computer, Control, INDICON 2015, New Delhi, India, 17-12-15. https://doi.org/10.1109/INDICON.2015.7443531

MSIGT: Most Significant Index Generation Technique for cloud environment. / Raghavendra, S.; Geeta, C. M.; Buyya, Rajkumar et al.
12th IEEE International Conference Electronics, Energy, Environment, Communication, Computer, Control: (E3-C3), INDICON 2015. Institute of Electrical and Electronics Engineers Inc., 2016. 7443531 (12th IEEE International Conference Electronics, Energy, Environment, Communication, Computer, Control: (E3-C3), INDICON 2015).

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

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T2 - 12th IEEE International Conference Electronics, Energy, Environment, Communication, Computer, Control, INDICON 2015

AU - Raghavendra, S.

AU - Geeta, C. M.

AU - Buyya, Rajkumar

AU - Venugopal, K. R.

AU - Iyengar, S. S.

AU - Patnaik, L. M.

PY - 2016/3/29

Y1 - 2016/3/29

N2 - Cloud Computing is a computing paradigm for delivering computational power, storage and applications as services via Internet on a pay-as-you-go basis to consumers. The data owner outsources local data to the public cloud server to reduce the cost of the data management. Critical data has to be encrypted to ensure privacy before outsourcing. The state-of-the-art SSE schemes search only over encrypted data through keywords, hence they do not provide effective data utilisation for large dataset files in cloud. We propose a Most Significant Index Generation Technique(MSIGT), that supports secure and efficient index generation time using a Most Significant Digit(MSD) radix sort. MSD radix sort is simple and faster in sorting array strings. A mathematical model is developed to encrypt the indexed keywords for secure index generation without the overhead of learning from the attacker/cloud provider. It is seen that the MSIGT scheme can reduce the cost of data on owner side to O(NT × 3) with a score calculation of O(NT). The proposed scheme is effective and efficient in comparison with the existing algorithms.

AB - Cloud Computing is a computing paradigm for delivering computational power, storage and applications as services via Internet on a pay-as-you-go basis to consumers. The data owner outsources local data to the public cloud server to reduce the cost of the data management. Critical data has to be encrypted to ensure privacy before outsourcing. The state-of-the-art SSE schemes search only over encrypted data through keywords, hence they do not provide effective data utilisation for large dataset files in cloud. We propose a Most Significant Index Generation Technique(MSIGT), that supports secure and efficient index generation time using a Most Significant Digit(MSD) radix sort. MSD radix sort is simple and faster in sorting array strings. A mathematical model is developed to encrypt the indexed keywords for secure index generation without the overhead of learning from the attacker/cloud provider. It is seen that the MSIGT scheme can reduce the cost of data on owner side to O(NT × 3) with a score calculation of O(NT). The proposed scheme is effective and efficient in comparison with the existing algorithms.

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M3 - Conference contribution

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T3 - 12th IEEE International Conference Electronics, Energy, Environment, Communication, Computer, Control: (E3-C3), INDICON 2015

BT - 12th IEEE International Conference Electronics, Energy, Environment, Communication, Computer, Control

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 17 December 2015 through 20 December 2015

ER -

Raghavendra S, Geeta CM, Buyya R, Venugopal KR, Iyengar SS, Patnaik LM. MSIGT: Most Significant Index Generation Technique for cloud environment. In 12th IEEE International Conference Electronics, Energy, Environment, Communication, Computer, Control: (E3-C3), INDICON 2015. Institute of Electrical and Electronics Engineers Inc. 2016. 7443531. (12th IEEE International Conference Electronics, Energy, Environment, Communication, Computer, Control: (E3-C3), INDICON 2015). doi: 10.1109/INDICON.2015.7443531

MSIGT: Most Significant Index Generation Technique for cloud environment

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All Science Journal Classification (ASJC) codes

UN SDGs

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