Empowering users of social networks to assess their privacy risks

Vladimir Estivill-Castro; Peter Hough; Md Zahidul Islam

doi:10.1109/BigData.2014.7004287

Empowering users of social networks to assess their privacy risks

Vladimir Estivill-Castro, Peter Hough, Md Zahidul Islam

Research output: Book chapter/Published conference paper › Conference paper › peer-review

10 Citations (Scopus)

Abstract

Millions of users place data about themselves on on-line social networks and, while probably they have an interest on some of this information to be publicly available, they certainly may consider some of this information shall remain confidential. Simultaneously, the data provides benefits as such data enables personalization which increases the quality of service; and thus, it is regularly analyzed with data mining techniques. Since privacy directly correlates to the control users have regarding the data about themselves, this paper provides a technique by which operators of on-line social networks can improve the service to their users by empowering the users to appraise the privacy risks that some information they provide results in others inferring confidential attributes

Original language	English
Title of host publication	Proceedings, 2014 IEEE International Conference on Big Data
Editors	W Chang, J Huan, N Cercone, S Pyne, V Honavar, J Lin, XT Hu, C Aggarwal, B Mobasher, J Pei, R Nambiar
Place of Publication	Piscataway, N.J
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	644-649
Number of pages	6
ISBN (Electronic)	9781479956654
DOIs	https://doi.org/10.1109/BigData.2014.7004287
Publication status	Published - 2014
Event	2014 IEEE International Conference on Big Data (Big Data) - Hyatt Regency, Washington DC, United States Duration: 27 Oct 2014 → 30 Oct 2014

Conference

Conference	2014 IEEE International Conference on Big Data (Big Data)
Country/Territory	United States
City	Washington DC
Period	27/10/14 → 30/10/14
Other	In recent years, “Big Data” has become a new ubiquitous term. Big Data is transforming science, engineering, medicine, healthcare, finance, business, and ultimately society itself. The IEEE International Conference on Big Data 2014 (IEEE BigData 2014) provides a leading forum for disseminating the latest research in Big Data Research, Development, and Applications. We solicit high-quality original research papers (including significant work-in-progress) in any aspect of Big Data with emphasis on 5Vs (Volume, Velocity, Variety, Value and Veracity):: big data science and foundations, big data infrastructure, big data management, big data searching and mining, big data privacy/security, and big data applications.

Access to Document

10.1109/BigData.2014.7004287

Cite this

Estivill-Castro, V., Hough, P., & Islam, M. Z. (2014). Empowering users of social networks to assess their privacy risks. In W. Chang, J. Huan, N. Cercone, S. Pyne, V. Honavar, J. Lin, XT. Hu, C. Aggarwal, B. Mobasher, J. Pei, & R. Nambiar (Eds.), Proceedings, 2014 IEEE International Conference on Big Data (pp. 644-649). Article 7004287 IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/BigData.2014.7004287

Estivill-Castro, Vladimir ; Hough, Peter ; Islam, Md Zahidul. / Empowering users of social networks to assess their privacy risks. Proceedings, 2014 IEEE International Conference on Big Data. editor / W Chang ; J Huan ; N Cercone ; S Pyne ; V Honavar ; J Lin ; XT Hu ; C Aggarwal ; B Mobasher ; J Pei ; R Nambiar. Piscataway, N.J : IEEE, Institute of Electrical and Electronics Engineers, 2014. pp. 644-649

@inproceedings{fe8532b5f2754df7900c846e04067cde,

title = "Empowering users of social networks to assess their privacy risks",

abstract = "Millions of users place data about themselves on on-line social networks and, while probably they have an interest on some of this information to be publicly available, they certainly may consider some of this information shall remain confidential. Simultaneously, the data provides benefits as such data enables personalization which increases the quality of service; and thus, it is regularly analyzed with data mining techniques. Since privacy directly correlates to the control users have regarding the data about themselves, this paper provides a technique by which operators of on-line social networks can improve the service to their users by empowering the users to appraise the privacy risks that some information they provide results in others inferring confidential attributes",

author = "Vladimir Estivill-Castro and Peter Hough and Islam, {Md Zahidul}",

note = "Imported on 03 May 2017 - DigiTool details were: publisher = IEEE, 2014. Event dates (773o) = 27-30 October 2014; Parent title (773t) = IEEE International Conference on Big Data.; 2014 IEEE International Conference on Big Data (Big Data) ; Conference date: 27-10-2014 Through 30-10-2014",

year = "2014",

doi = "10.1109/BigData.2014.7004287",

language = "English",

pages = "644--649",

editor = "W Chang and J Huan and N Cercone and S Pyne and V Honavar and J Lin and XT Hu and C Aggarwal and B Mobasher and J Pei and R Nambiar",

booktitle = "Proceedings, 2014 IEEE International Conference on Big Data",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States",

}

Estivill-Castro, V, Hough, P & Islam, MZ 2014, Empowering users of social networks to assess their privacy risks. in W Chang, J Huan, N Cercone, S Pyne, V Honavar, J Lin, XT Hu, C Aggarwal, B Mobasher, J Pei & R Nambiar (eds), Proceedings, 2014 IEEE International Conference on Big Data., 7004287, IEEE, Institute of Electrical and Electronics Engineers, Piscataway, N.J, pp. 644-649, 2014 IEEE International Conference on Big Data (Big Data), Washington DC, District of Columbia, United States, 27/10/14. https://doi.org/10.1109/BigData.2014.7004287

Empowering users of social networks to assess their privacy risks. / Estivill-Castro, Vladimir; Hough, Peter; Islam, Md Zahidul.
Proceedings, 2014 IEEE International Conference on Big Data. ed. / W Chang; J Huan; N Cercone; S Pyne; V Honavar; J Lin; XT Hu; C Aggarwal; B Mobasher; J Pei; R Nambiar. Piscataway, N.J: IEEE, Institute of Electrical and Electronics Engineers, 2014. p. 644-649 7004287.

Research output: Book chapter/Published conference paper › Conference paper › peer-review

TY - GEN

T1 - Empowering users of social networks to assess their privacy risks

AU - Estivill-Castro, Vladimir

AU - Hough, Peter

AU - Islam, Md Zahidul

N1 - Imported on 03 May 2017 - DigiTool details were: publisher = IEEE, 2014. Event dates (773o) = 27-30 October 2014; Parent title (773t) = IEEE International Conference on Big Data.

PY - 2014

Y1 - 2014

N2 - Millions of users place data about themselves on on-line social networks and, while probably they have an interest on some of this information to be publicly available, they certainly may consider some of this information shall remain confidential. Simultaneously, the data provides benefits as such data enables personalization which increases the quality of service; and thus, it is regularly analyzed with data mining techniques. Since privacy directly correlates to the control users have regarding the data about themselves, this paper provides a technique by which operators of on-line social networks can improve the service to their users by empowering the users to appraise the privacy risks that some information they provide results in others inferring confidential attributes

AB - Millions of users place data about themselves on on-line social networks and, while probably they have an interest on some of this information to be publicly available, they certainly may consider some of this information shall remain confidential. Simultaneously, the data provides benefits as such data enables personalization which increases the quality of service; and thus, it is regularly analyzed with data mining techniques. Since privacy directly correlates to the control users have regarding the data about themselves, this paper provides a technique by which operators of on-line social networks can improve the service to their users by empowering the users to appraise the privacy risks that some information they provide results in others inferring confidential attributes

U2 - 10.1109/BigData.2014.7004287

DO - 10.1109/BigData.2014.7004287

M3 - Conference paper

SP - 644

EP - 649

BT - Proceedings, 2014 IEEE International Conference on Big Data

A2 - Chang, W

A2 - Huan, J

A2 - Cercone, N

A2 - Pyne, S

A2 - Honavar, V

A2 - Lin, J

A2 - Hu, XT

A2 - Aggarwal, C

A2 - Mobasher, B

A2 - Pei, J

A2 - Nambiar, R

PB - IEEE, Institute of Electrical and Electronics Engineers

CY - Piscataway, N.J

T2 - 2014 IEEE International Conference on Big Data (Big Data)

Y2 - 27 October 2014 through 30 October 2014

ER -

Estivill-Castro V, Hough P, Islam MZ. Empowering users of social networks to assess their privacy risks. In Chang W, Huan J, Cercone N, Pyne S, Honavar V, Lin J, Hu XT, Aggarwal C, Mobasher B, Pei J, Nambiar R, editors, Proceedings, 2014 IEEE International Conference on Big Data. Piscataway, N.J: IEEE, Institute of Electrical and Electronics Engineers. 2014. p. 644-649. 7004287 doi: 10.1109/BigData.2014.7004287

Empowering users of social networks to assess their privacy risks

Abstract

Conference

Access to Document

Fingerprint

Cite this