auc tests: adjust cosmetically to prepare for SQN changes
The current auc tests test a lot with SQN == 0. An upcoming change in the SQN
algorithms from libosmocore [1] will require us to pass desired_sqn - 1,
because the tuple generation will increment the SQN before calculating. Later
on [2] we will also want to employ ind_bits and ind in the test. In order to
have some room in the number range, cosmetically adjust the current SQN tested
for from 0 to 32, changing the generated AUTN. The upcoming adjustment to the
new situation will then be able to show that only the SQN values before and
after vector generation change while the auth tuples as well as the SQNs used
for generation remain the same (without having to trick around with wrapping
SQN past its maximum value).
Note that the TS 55.205 test sets include neither SQN nor AUTN. While AUTN
changes with changing SQN, all the other values are invariant of the SQN used.
So we can simply choose a different SQN and ignore the difference in the AUTN.
[1] change-id Iadf43f21e0605e9e85f7e8026c40985f7ceff1a3 "store last sqn"
[2] change-id Ibc97e1736a797ffcbf8c1f7d41c5c4518f4e41bf "fix SQN increment"
Related: OS#1969
Change-Id: I45d1866cde1b3e777460df76100af2fe4767c678
diff --git a/tests/auc/auc_test.err b/tests/auc/auc_test.err
index aff96c9..51f176c 100644
--- a/tests/auc/auc_test.err
+++ b/tests/auc/auc_test.err
@@ -22,14 +22,14 @@
===== test_gen_vectors_2g_plus_3g
-aud3g.u.umts.sqn == 0
+aud3g.u.umts.sqn == 32
DAUC Computing 1 auth vector: 3G + separate 2G
DAUC 3G: k = eb215756028d60e3275e613320aec880
DAUC 3G: opc = fb2a3d1b360f599abab99db8669f8308
DAUC 2G: ki = eb215756028d60e3275e613320aec880
DAUC vector [0]: rand = 39fa2f4e3d523d8619a73b4f65c3e14d
-DAUC vector [0]: sqn = 0
-DAUC vector [0]: autn = 8704f5ba55f30000d2ee44b22c8ea919
+DAUC vector [0]: sqn = 32
+DAUC vector [0]: autn = 8704f5ba55d30000541dde77ea5b1d8c
DAUC vector [0]: ck = f64735036e5871319c679f4742a75ea1
DAUC vector [0]: ik = 27497388b6cb044648f396aa155b95ef
DAUC vector [0]: res = e229c19e791f2e410000000000000000
@@ -39,16 +39,16 @@
DAUC vector [0]: sres = 429d5b27
DAUC vector [0]: auth_types = 0x3
rc == 1
+aud3g.u.umts.sqn == 33
vector matches expectations
-aud3g.u.umts.sqn == 1
-aud3g.u.umts.sqn == 0
+aud3g.u.umts.sqn == 32
DAUC Computing 1 auth vector: 3G + separate 2G
DAUC 3G: k = eb215756028d60e3275e613320aec880
DAUC 3G: opc = fb2a3d1b360f599abab99db8669f8308
DAUC 2G: ki = eb215756028d60e3275e613320aec880
DAUC vector [0]: rand = 39fa2f4e3d523d8619a73b4f65c3e14d
-DAUC vector [0]: sqn = 0
-DAUC vector [0]: autn = 8704f5ba55f30000d2ee44b22c8ea919
+DAUC vector [0]: sqn = 32
+DAUC vector [0]: autn = 8704f5ba55d30000541dde77ea5b1d8c
DAUC vector [0]: ck = f64735036e5871319c679f4742a75ea1
DAUC vector [0]: ik = 27497388b6cb044648f396aa155b95ef
DAUC vector [0]: res = e229c19e791f2e410000000000000000
@@ -58,19 +58,19 @@
DAUC vector [0]: sres = 429d5b27
DAUC vector [0]: auth_types = 0x3
rc == 1
-aud3g.u.umts.sqn == 1
+aud3g.u.umts.sqn == 33
vector matches expectations
===== test_gen_vectors_2g_plus_3g: SUCCESS
===== test_gen_vectors_3g_only
-aud3g.u.umts.sqn == 0
+aud3g.u.umts.sqn == 32
DAUC Computing 1 auth vector: 3G only (2G derived from 3G keys)
DAUC 3G: k = eb215756028d60e3275e613320aec880
DAUC 3G: opc = fb2a3d1b360f599abab99db8669f8308
DAUC vector [0]: rand = 39fa2f4e3d523d8619a73b4f65c3e14d
-DAUC vector [0]: sqn = 0
-DAUC vector [0]: autn = 8704f5ba55f30000d2ee44b22c8ea919
+DAUC vector [0]: sqn = 32
+DAUC vector [0]: autn = 8704f5ba55d30000541dde77ea5b1d8c
DAUC vector [0]: ck = f64735036e5871319c679f4742a75ea1
DAUC vector [0]: ik = 27497388b6cb044648f396aa155b95ef
DAUC vector [0]: res = e229c19e791f2e410000000000000000
@@ -79,15 +79,15 @@
DAUC vector [0]: sres = 9b36efdf
DAUC vector [0]: auth_types = 0x3
rc == 1
+aud3g.u.umts.sqn == 33
vector matches expectations
-aud3g.u.umts.sqn == 1
-aud3g.u.umts.sqn == 0
+aud3g.u.umts.sqn == 32
DAUC Computing 1 auth vector: 3G only (2G derived from 3G keys)
DAUC 3G: k = eb215756028d60e3275e613320aec880
DAUC 3G: opc = fb2a3d1b360f599abab99db8669f8308
DAUC vector [0]: rand = 39fa2f4e3d523d8619a73b4f65c3e14d
-DAUC vector [0]: sqn = 0
-DAUC vector [0]: autn = 8704f5ba55f30000d2ee44b22c8ea919
+DAUC vector [0]: sqn = 32
+DAUC vector [0]: autn = 8704f5ba55d30000541dde77ea5b1d8c
DAUC vector [0]: ck = f64735036e5871319c679f4742a75ea1
DAUC vector [0]: ik = 27497388b6cb044648f396aa155b95ef
DAUC vector [0]: res = e229c19e791f2e410000000000000000
@@ -96,10 +96,10 @@
DAUC vector [0]: sres = 9b36efdf
DAUC vector [0]: auth_types = 0x3
rc == 1
-aud3g.u.umts.sqn == 1
+aud3g.u.umts.sqn == 33
vector matches expectations
- test AUTS resync
-aud3g.u.umts.sqn == 0
+aud3g.u.umts.sqn == 32
DAUC Computing 1 auth vector: 3G only (2G derived from 3G keys), with AUTS resync
DAUC 3G: k = eb215756028d60e3275e613320aec880
DAUC 3G: opc = fb2a3d1b360f599abab99db8669f8308