The following data set is modelled after the implementers’ test data in 3GPP TS 33.501 “Security architecture and procedures for 5G System” with the same terminology. The data set corresponds to SUCI (Subscription Concealed Identifier) computation in the 5G UE (User Equipment) for IMSI (International Mobile Subscriber Identity) based SUPI (Subscription Permanent Identifier) and ECIES Profile A.

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The following data set is modelled after the implementers’ test data in 3GPP TS 33.501 “Security architecture and procedures for 5G System” with the same terminology. The data set corresponds to SUCI (Subscription Concealed Identifier) computation in the 5G UE (User Equipment) for IMSI (International Mobile Subscriber Identity) based SUPI (Subscription Permanent Identifier) and ECIES Profile A, the IMSI consists of MCC|MNC: '274012'. 

In the 5G system, the globally unique 5G subscription permanent identifier is called SUPI as defined in 3GPP TS 23.501. For privacy reasons, the SUPI from the 5G devices should not be transferred in clear text, and is instead concealed inside the privacy preserving SUCI. Consequently, the SUPI is privacy protected over-the-air of the 5G radio network by using the SUCI. For SUCIs containing IMSI based SUPI, the UE in essence conceals the MSIN (Mobile Subscriber Identification Number) part of the IMSI. On the 5G operator-side, the SIDF (Subscription Identifier De-concealing Function) of the UDM (Unified Data Management) is responsible for de-concealment of the SUCI and resolves the SUPI from the SUCI based on the protection scheme used to generate the SUCI. 

The SUCI protection scheme used in this data set is ECIES Profile A. The size of the scheme-output is a total of 256-bit public key, 64-bit MAC & 40-bit encrypted MSIN. The SUCI scheme-input MSIN is coded as hexadecimal digits using packed BCD coding where the order of digits within an octet is same as the order of MSIN. As the MSINs are odd number of digits, bits 5 to 8 of final octet is coded as ‘1111’.  

# Example Python code to load data into Spark DataFrame

df = spark.read.format("csv").option("inferSchema","true").option("header","true").option("sep",",").load(“5g_suci_using_ecies_profile_a_100k.gz”)

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This dataset provides the source data for the figures and tables found in the paper "Elliptic Curve Lightweight Cryptography: a Survey."

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