VCE Data Analytics U4O2 Definitions Worksheet: Data integrity and its consequences and Evaluating security with CIA and security controls (Modules 26–43)
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Key terms
Write what each term means, in your own words.
1
data integrity
2
loss of reputation
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Poor decision-making
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financial loss
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Legal issues from diminished data integrity
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impacted operations
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integrity criterion
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Evaluate against CIA
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evaluation criteria
10
biometric authentication
Answer Key
VCE Data Analytics U4O2 · Modules 26–43 · Student wording will vary for definitions
1data integrity — How trustworthy data is. Test it against six characteristics, one at a time: accuracy, authenticity, correctness, reasonableness, relevance and timeliness. Failing any one means it can't be trusted.
2loss of reputation — When an organisation's data is wrong or tampered with, customers and partners lose trust in it, often after public errors and media coverage, and take their business elsewhere.
3Poor decision-making — Decisions made from inaccurate or untimely data are likely to be wrong, causing wrong forecasts, misleading analysis and false conclusions.
4financial loss — Money lost when corrupted or incorrect data causes errors, rework, refunds and lost sales, such as wrong payments and the cost of fixing the data.
5Legal issues from diminished data integrity — Keeping or acting on inaccurate data can breach laws like privacy obligations, leading to fines, penalties or legal claims by affected people.
6impacted operations — Poor data integrity disrupts daily business, causing delayed orders, systems taken offline to fix data errors, and staff time wasted checking and correcting records.
7integrity criterion — Judging a security strategy by whether it stops unauthorised people changing or corrupting data, using tamper detection, hashes and checksums, and limits on who can edit.
8Evaluate against CIA — Judge how well a security strategy protects confidentiality, integrity and availability, using evidence to rate each one and weigh up trade-offs between them.
9evaluation criteria — Measurable standards, such as incidents per year or recovery time, used to judge how well a security strategy meets its goals and protects confidentiality, integrity and availability.
10biometric authentication — Proves who you are using a physical or behavioural trait, such as a fingerprint, face or voice, that is matched against stored data. It can wrongly accept or reject users.