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BigData_Security_and_Privacy_Handbook

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6.0 Scalable and Composable Privacy-Preserving Analytics (cont.)<br />

6.5.2 How?<br />

• Anonymized (or de-identified) data safeguards the privacy of consumers while still<br />

making useful information available to marketers or data-mining companies.<br />

• Establish a formal standard for privacy which addresses possible re-identification<br />

methods.<br />

6.6 Incorporate awareness training with focus on<br />

privacy regulations<br />

6.6.1 Why?<br />

To avoid potential litigation issues into the future. There are an increasing number of<br />

laws and regulations that require training and awareness activities related to privacy<br />

issues (e.g., the Health Insurance Portability and Accountability Act (HIPPA) and Health<br />

Information Technology for Economic and Clinical Health Act (HITECH) in the U.S., etc.).<br />

Awareness of these laws and regulations is critical.<br />

6.6.2 How?<br />

Implement awareness training focused on privacy issues and applicable regulations in<br />

each country.<br />

6.7 Use authorization mechanisms<br />

6.7.1 Why?<br />

To secure applications in the infrastructure stack. Over the last years, attackers have<br />

shifted their focus from operating systems to databases to applications.<br />

6.7.2 How?<br />

• Apply secure software development best practices, like OWASP (owasp.org) for Webbased<br />

applications.<br />

• Execute vulnerability assessments and application penetration tests on the application<br />

on an ongoing and scheduled basis.<br />

CLOUD SECURITY ALLIANCE Big Data Working Group Guidance<br />

© Copyright 2016, Cloud Security Alliance. All rights reserved.<br />

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