Anonymising Data using k-Anonymity

Data anonymisation is an important approach in data governance and management; it enables organisations to protect personal information while sharing, processing, and making use of such information. However, anonymisation still carries the risk of re-identification. A well-known approach which allows organisations to quantify the risk of re-identification utilises k-anonymity.

This hands-on, interactive course provides an in-depth exploration of k-anonymity. The course introduces the theoretical foundations, and it complements the understanding with exercises and discussions. Exercises will use the Academy’s own learning tool.

The course also covers legal aspects of anonymisation as far as relevant for the understanding and practical use of k-anonymity. It further addresses risk considerations for assessing the sufficiency of anonymisation. Though more technical in nature, this course is suitable for managers and directors to get a better understanding of anonymisation, and how to address and manage re-identification and other threats as part of their risk management responsibilities.

This course complements our Pseudonymisation Primer course.

Course Code:	PE201
Title:	Anonymising Data using k-Anonymity
Duration:	1 days (approximately 7 contact hours)
Mode of Training:	In-person
Available Date(s):	Please see below.
Venue:	Drew & Napier LLC, 10 Collyer Quay, 10th Floor, Ocean Financial Centre, Singapore 049315
Course Fee:	S$500.00 (excluding GST)