Threshold estimation in self-destructing scheme using regression analysis

Young Ki Kim; Choong Seon Hong

doi:10.1109/APNOMS.2017.8094192

Threshold estimation in self-destructing scheme using regression analysis

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

Abstract

As technologies and services that leverage cloud computing evolve, more and more businesses or individuals are using them. However, as users increasingly use and store personal information in cloud storage, research on privacy protection models in the cloud environment is becoming more important. A self-destructing scheme has been proposed to prevent the decryption of encrypted user data after a certain period of time using a DHT network. However, the existing privacy protection model does not mention the method of setting the threshold value considering the availability and security of the data. Therefore, in this paper, we propose an optimal threshold finding method considering both data availability and security of privacy protection model by applying regression analysis.

Original language	English
Title of host publication	19th Asia-Pacific Network Operations and Management Symposium
Subtitle of host publication	Managing a World of Things, APNOMS 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	135-138
Number of pages	4
ISBN (Electronic)	9781538611012
DOIs	https://doi.org/10.1109/APNOMS.2017.8094192
Publication status	Published - 1 Nov 2017
Event	19th Asia-Pacific Network Operations and Management Symposium, APNOMS 2017 - Seoul, Korea, Republic of Duration: 27 Sept 2017 → 29 Sept 2017

Publication series

Name	19th Asia-Pacific Network Operations and Management Symposium: Managing a World of Things, APNOMS 2017

Conference

Conference	19th Asia-Pacific Network Operations and Management Symposium, APNOMS 2017
Country/Territory	Korea, Republic of
City	Seoul
Period	27/09/17 → 29/09/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Keywords

DHT Network
Privacy Protection
Regression Analysis
Self-Destructing Scheme

Access to Document

10.1109/APNOMS.2017.8094192

Cite this

Kim, Y. K., & Hong, C. S. (2017). Threshold estimation in self-destructing scheme using regression analysis. In 19th Asia-Pacific Network Operations and Management Symposium: Managing a World of Things, APNOMS 2017 (pp. 135-138). Article 8094192 (19th Asia-Pacific Network Operations and Management Symposium: Managing a World of Things, APNOMS 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/APNOMS.2017.8094192

Kim, Young Ki ; Hong, Choong Seon. / Threshold estimation in self-destructing scheme using regression analysis. 19th Asia-Pacific Network Operations and Management Symposium: Managing a World of Things, APNOMS 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 135-138 (19th Asia-Pacific Network Operations and Management Symposium: Managing a World of Things, APNOMS 2017).

@inproceedings{cde883d3e86e462db82ab6ab0ad833ec,

title = "Threshold estimation in self-destructing scheme using regression analysis",

abstract = "As technologies and services that leverage cloud computing evolve, more and more businesses or individuals are using them. However, as users increasingly use and store personal information in cloud storage, research on privacy protection models in the cloud environment is becoming more important. A self-destructing scheme has been proposed to prevent the decryption of encrypted user data after a certain period of time using a DHT network. However, the existing privacy protection model does not mention the method of setting the threshold value considering the availability and security of the data. Therefore, in this paper, we propose an optimal threshold finding method considering both data availability and security of privacy protection model by applying regression analysis.",

keywords = "DHT Network, Privacy Protection, Regression Analysis, Self-Destructing Scheme",

author = "Kim, {Young Ki} and Hong, {Choong Seon}",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 19th Asia-Pacific Network Operations and Management Symposium, APNOMS 2017 ; Conference date: 27-09-2017 Through 29-09-2017",

year = "2017",

month = nov,

day = "1",

doi = "10.1109/APNOMS.2017.8094192",

language = "English",

series = "19th Asia-Pacific Network Operations and Management Symposium: Managing a World of Things, APNOMS 2017",

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

pages = "135--138",

booktitle = "19th Asia-Pacific Network Operations and Management Symposium",

address = "United States",

}

Kim, YK & Hong, CS 2017, Threshold estimation in self-destructing scheme using regression analysis. in 19th Asia-Pacific Network Operations and Management Symposium: Managing a World of Things, APNOMS 2017., 8094192, 19th Asia-Pacific Network Operations and Management Symposium: Managing a World of Things, APNOMS 2017, Institute of Electrical and Electronics Engineers Inc., pp. 135-138, 19th Asia-Pacific Network Operations and Management Symposium, APNOMS 2017, Seoul, Korea, Republic of, 27/09/17. https://doi.org/10.1109/APNOMS.2017.8094192

Threshold estimation in self-destructing scheme using regression analysis. / Kim, Young Ki; Hong, Choong Seon.
19th Asia-Pacific Network Operations and Management Symposium: Managing a World of Things, APNOMS 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 135-138 8094192 (19th Asia-Pacific Network Operations and Management Symposium: Managing a World of Things, APNOMS 2017).

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

TY - GEN

T1 - Threshold estimation in self-destructing scheme using regression analysis

AU - Kim, Young Ki

AU - Hong, Choong Seon

PY - 2017/11/1

Y1 - 2017/11/1

N2 - As technologies and services that leverage cloud computing evolve, more and more businesses or individuals are using them. However, as users increasingly use and store personal information in cloud storage, research on privacy protection models in the cloud environment is becoming more important. A self-destructing scheme has been proposed to prevent the decryption of encrypted user data after a certain period of time using a DHT network. However, the existing privacy protection model does not mention the method of setting the threshold value considering the availability and security of the data. Therefore, in this paper, we propose an optimal threshold finding method considering both data availability and security of privacy protection model by applying regression analysis.

AB - As technologies and services that leverage cloud computing evolve, more and more businesses or individuals are using them. However, as users increasingly use and store personal information in cloud storage, research on privacy protection models in the cloud environment is becoming more important. A self-destructing scheme has been proposed to prevent the decryption of encrypted user data after a certain period of time using a DHT network. However, the existing privacy protection model does not mention the method of setting the threshold value considering the availability and security of the data. Therefore, in this paper, we propose an optimal threshold finding method considering both data availability and security of privacy protection model by applying regression analysis.

KW - DHT Network

KW - Privacy Protection

KW - Regression Analysis

KW - Self-Destructing Scheme

UR - http://www.scopus.com/inward/record.url?scp=85040576989&partnerID=8YFLogxK

U2 - 10.1109/APNOMS.2017.8094192

DO - 10.1109/APNOMS.2017.8094192

M3 - Conference contribution

AN - SCOPUS:85040576989

T3 - 19th Asia-Pacific Network Operations and Management Symposium: Managing a World of Things, APNOMS 2017

SP - 135

EP - 138

BT - 19th Asia-Pacific Network Operations and Management Symposium

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 19th Asia-Pacific Network Operations and Management Symposium, APNOMS 2017

Y2 - 27 September 2017 through 29 September 2017

ER -

Kim YK, Hong CS. Threshold estimation in self-destructing scheme using regression analysis. In 19th Asia-Pacific Network Operations and Management Symposium: Managing a World of Things, APNOMS 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 135-138. 8094192. (19th Asia-Pacific Network Operations and Management Symposium: Managing a World of Things, APNOMS 2017). doi: 10.1109/APNOMS.2017.8094192

Threshold estimation in self-destructing scheme using regression analysis

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

Other files and links

Fingerprint

Cite this