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Patrick Jattke edited this page Jul 31, 2020 · 13 revisions

The cardio benchmark is based on a medical diagnostic algorithm that was presented by Carpov et al. in Practical privacy-preserving medical diagnosis using homomorphic encryption as demonstration for a cloud-based and privacy-preserving cardiac risk factor assessment service. The algorithm is used by Cingulata as a example/test application.

The cardio program has in total 7 encrypted inputs. For example, in Cingulata these are encoded as 7*8 bit = 56 bits. The inputs of the program are:

  • sex (1 bit): female (false) or male (true)
  • antecedents (1 bit): true if there was a cardiology disease in the family history, otherwise false
  • smoker (1 bit): no (false) or yes (true)
  • diabetes (1 bit): no (false) or yes (true)
  • high_blood_pressure (1 bit): high blood pressure (true) or normal blood pressure (false)
  • age (8 bit): the age in years
  • hdl_cholesterol (8 bit): the HDL cholesterol level
  • height (8 bit): height in centimeters
  • weight (8 bit): weight in kilograms
  • phy_activity: physical activity in minutes per day
  • drinking_habits (8 bit): number of glasses of alcoholic beverages per day

The cardio program uses trans-ciphering that allows to switch from some data encrypted under a classic overhead-free symmetric cryptosystem to the same data encrypted under FHE, without exposing the data in clear text at any time. For that, the program uses the stream cipher Kreyvium, a 128-bit version of the Trivium algorithm that allows efficient FHE execution by only involving XOR operations.

The inputs are encrypted on the client-side using a key-stream generated by the Kreyvium cipher with the private key SYMSK and an initialization value IV. In our benchmark program, we use a precomputed keystream (like in the Cingulata test program). The encryption is a simple XOR operation and as such can be performed efficiently on a device with low resources. On the server-side, the Kreyvium algorithm is executed homomorphically using the FHE-encrypted private key [SYMSK]FHE with the same IV to ensure that client and server use the same key-stream. This process is called key-stream mining and takes places in advance to minimize latency. After receiving the data from the client and homomorphically executing the Kreyvium algorithm on the server, which basically consists of simple XOR operations, the data is encrypted under FHE and can be processed further. This transciphering procedure is depicted in Figure 1.

Figure 1: The computation workflow of the cardio program using transciphering and FHE. Image taken from Carpov et al.

The main part is the homomorphic execution of the cardiac risk factor assessment algorithm. This consists of a set of rules that are given in Listing 1. These rules compute a score between 0 and 9 where a larger value means a higher risk for a cardiology disease.

+1  if man and age > 50 years
+1  if cardiology disease in family history
+1  if smoking
+1  if diabetic
+1  if high blood pressure
+1  if HDL cholesterol less than 40
+1  if weight > height-90
+1  if daily physical activity less than 30 minutes
+1  if man and alcohol consumption more than 3 glasses/day
+1  if woman and alcohol consumption more than 2 glasses/day

Listing 1: Rules of the cardiac risk factor assessment algorithm.

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