Disclosure Limitation of Sensitive Rules

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Author

M. Atallah, E. Bertino, A. Elmagarmid, M. Ibrahim, V. Verykios

Tech report number

CERIAS TR 2000-02

Entry type

inproceedings

Abstract

Data products (macrodata or tabular data and micro-data or raw data records), are designed to inform public or business policy, and research or public information. Securing these products against unauthorized accesses has been a long-term goal of the database security research community and the government statistical agencies. Solutions to this problem require combining several techniques and mechanisms. Recent advances in data mining and machine learning algorithms have, however, increased the security risks one may incur when releasing data for mining from outside parties. Issues related to data mining and security have been recognized and investigated only recently.

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URL

http://ieeexplore.ieee.org/sta ... 836532&isnumber=18077

Booktitle

IEEE Knowledge and Data Engineering Exchange Workshop (KDEX)

Institution

Purdue University

Key alpha

atallah

Affiliation

CERIAS

Publication Date

2001-01-01

BibTex-formatted data

To refer to this entry, you may select and copy the text below and paste it into your BibTex document. Note that the text may not contain all macros that BibTex supports.

@Inproceedings{ atallah,
	title = "Disclosure Limitation of Sensitive Rules",
	author = "M. Atallah, E. Bertino, A. Elmagarmid, M. Ibrahim, V. Verykios",
	booktitle = "IEEE Knowledge and Data Engineering Exchange Workshop (KDEX)",
	institution = "Purdue University",
	abstract = "Data products (macrodata or tabular data and micro-data
or raw data records), are designed to inform public or
business policy, and research or public information. Securing these products against unauthorized accesses
has been a long-term goal of the database security research community
and the government statistical agencies. Solutions
to this problem require combining several techniques and
mechanisms. Recent advances in data mining and machine
learning algorithms have, however, increased the security
risks one may incur when releasing data for mining from
outside parties. Issues related to data mining and security
have been recognized and investigated only recently.",
	affiliation = "CERIAS",
	url = "http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=836532&isnumber=18077",
}