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IAPP CIPT Exam - Topic 7 Question 49 Discussion

Posted by An on May 07, 2022 at 01:17 PM

A clinical research organization is processing highly sensitive personal data, including numerical attributes, from medical trial results. The organization needs to manipulate the data without revealing the contents to data users. This can be achieved by utilizing?

Suggested Answer: D

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40 comments · newest first
GO
Golda 1 year ago
Microdata sets can be useful too, but not as secure as homomorphic.
NO
Noble 1 year ago
k-anonymity is another option, but it has its limits.
RA
Rashad 1 year ago
Wait, can homomorphic encryption really handle all that data efficiently?
SH
Shonda 1 year ago
Totally agree, it keeps data secure while allowing computations.
LE
Leota 1 year ago
Homomorphic encryption is the way to go for this!
WA
Walton 1 year ago
Microdata sets seem less secure for this scenario; I believe they expose too much information even if anonymized.
LE
Leoma 1 year ago
I practiced a similar question about data privacy methods, and I feel like polymorphic encryption was mentioned, but I can't recall its specifics.
NA
Nathalie 1 year ago
I think homomorphic encryption might be the right choice since it allows computations on encrypted data without revealing it.
NI
Nickolas 1 year ago
I remember studying k-anonymity, but I'm not sure if it fully protects sensitive data like this.
DA
Davida 1 year ago
Hmm, I'm a little unsure about this one. I know continuous testing is important for continuous delivery, but I'm not sure if the options fully capture how they're connected. I'll have to think this through carefully.
GO
Goldie 1 year ago
This looks like a tricky one. I'll need to carefully read through the question and options to figure out the right principles.
AM
Ammie 1 year ago
I'm a bit confused by this question. I'm not sure if mark-up and margin are the same thing or if they provide different information about the supplier's profitability.
AL
Alaine 1 year ago
Polymorphic encryption? Sounds like something straight out of a sci-fi movie. Homomorphic encryption is the real deal, the Schwarzenegger of data protection.
JE
Jeannine 1 year ago
Homomorphic encryption, the solution that's more secure than a vault filled with titanium locks. I'm feeling confident about this one!
TA
Tashia 1 year ago
↳ replying to Jeannine
C) Polymorphic encryption.
CA
Carma 1 year ago
↳ replying to Jeannine
D) Homomorphic encryption.
TR
Truman 1 year ago
↳ replying to Jeannine
A) k-anonymity.
EM
Emmett 1 year ago
Microdata sets? Really? That's like trying to hide a elephant in a shoebox. Homomorphic encryption is the way to go, no doubt about it.
XU
Xuan 1 year ago
↳ replying to Emmett
Microdata sets may not be the most secure option, but they can still have their uses.
AH
Ahmad 1 year ago
↳ replying to Emmett
I agree, k-anonymity can also be useful in certain situations.
TH
Thora 1 year ago
↳ replying to Emmett
Homomorphic encryption is definitely the best option for protecting sensitive data.
TH
Thurman 2 years ago
I was torn between k-anonymity and homomorphic encryption, but after reading the question again, homomorphic encryption seems like the clear winner. Time to brush up on those encryption techniques!
JA
Jamika 1 year ago
↳ replying to Thurman
It's always good to brush up on encryption techniques to ensure data security.
VE
Veronika 1 year ago
↳ replying to Thurman
I was considering k-anonymity, but homomorphic encryption seems more suitable for this scenario.
ES
Estrella 1 year ago
↳ replying to Thurman
I agree, it allows for data manipulation without revealing the contents to users.
SE
Selene 1 year ago
↳ replying to Thurman
That's right, homomorphic encryption is the way to go for processing sensitive data securely.
DE
Denny 1 year ago
↳ replying to Thurman
I think homomorphic encryption is the way to go for protecting sensitive data.
ST
Stevie 1 year ago
↳ replying to Thurman
Homomorphic encryption allows data manipulation without revealing the contents.
VI
Virgina 1 year ago
↳ replying to Thurman
Homomorphic encryption definitely seems like the best choice for this scenario.
JA
Janna 1 year ago
↳ replying to Thurman
D) Homomorphic encryption.
PE
Penney 1 year ago
↳ replying to Thurman
C) Polymorphic encryption.
CA
Cassi 1 year ago
↳ replying to Thurman
That's true, k-anonymity is more about anonymizing data rather than manipulating it.
JO
Johanna 1 year ago
↳ replying to Thurman
I agree, it allows for computations to be done on encrypted data without revealing the contents.
ST
Stevie 1 year ago
↳ replying to Thurman
B) Microdata sets.
EA
Earlean 1 year ago
↳ replying to Thurman
A) k-anonymity.
FR
France 2 years ago
↳ replying to Thurman
I think homomorphic encryption is the way to go for protecting sensitive data.
RO
Rosann 2 years ago
Homomorphic encryption, hands down! I can't imagine a better way to manipulate sensitive data without exposing it. This is exactly what I need to know for the exam.
VI
Vicki 2 years ago
I'm not sure, but I think k-anonymity could also be a possible solution to protect sensitive data.
TA
Tandra 2 years ago
I agree with Willodean, homomorphic encryption allows data manipulation without revealing the contents.
WI
Willodean 2 years ago
I think the answer is D) Homomorphic encryption.
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