The $${tkl}\hbox {-}\mathrm {Score}$$tkl-Score for Data-Sharing Misuseability - Data and Applications Security and Privacy XXXV Access content directly
Conference Papers Year : 2021

The $${tkl}\hbox {-}\mathrm {Score}$$tkl-Score for Data-Sharing Misuseability

Kalvin Eng
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Eleni Stroulia
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Abstract

Estimating the potential for data misuse is essential for all data-sharing decisions. This work presents $${tkl}\hbox {-}\mathrm {Score}$$tkl-Score which extends the state of the art $${M}\hbox {-}\mathrm {Score}$$M-Score and $${L}\hbox {-}\mathrm {Severity}$$L-Severity measures. The new proposed measure is sensitive to the increased misuse potential when records are more identifiable in a source table with $${l}\hbox {-}\mathrm {Distinguishing~Factor}$$l-DistinguishingFactor and also when sensitive attributes are less granular in a source table with $${l}\hbox {-}\mathrm {Distinguishing~Factor}$$l-DistinguishingFactor and $${t}\hbox {-}\mathrm {Distinguishing~Factor}$$t-DistinguishingFactor; in contrast, the earlier $${M}\hbox {-}\mathrm {Score}$$M-Score and $${L}\hbox {-}\mathrm {Severity}$$L-Severity only account for record identifiability in a source table with $${k}\hbox {-}\mathrm {Distinguishing~Factor}$$k-DistinguishingFactor. $${tkl}\hbox {-}\mathrm {Score}$$tkl-Score is shown to better characterize the risk of releasing records compared to $${M}\hbox {-}\mathrm {Score}$$M-Score and $${L}\hbox {-}\mathrm {Severity}$$L-Severity due to accounting for sensitive attribute granularity.
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hal-03677040 , version 1 (24-05-2022)

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Kalvin Eng, Eleni Stroulia. The $${tkl}\hbox {-}\mathrm {Score}$$tkl-Score for Data-Sharing Misuseability. 35th IFIP Annual Conference on Data and Applications Security and Privacy (DBSec), Jul 2021, Calgary, AB, Canada. pp.312-324, ⟨10.1007/978-3-030-81242-3_18⟩. ⟨hal-03677040⟩
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