Table of Contents

Installation guide

The source code of SQL combined sensitivity analysis tools is available at pleak-sql-analysis.

Sensitivity analysis is implemented in Haskell, and requires cabal installation as a prerequisite. The analysis tools should work at least with version 1.22.5.0.

Local sensitivity part

Building starts at pleak-sql-analysis/local-sensitivity-cabal. When building for the first time, a sandbox needs to be initilaized, and the dependencies installed by means of cabal.

cabal sandbox init
cabal update
cabal install --only-dependencies
cabal configure
cabal build

Later, only

cabal build

is required to rebuild when files have changed. If the building starts giving error messages like

dist/build/banach/banach-tmp/XXXX.o: In function `c4IVe_info':
(.text+0x40420): undefined reference to `YYYY_zdsfromList1_info'

it is sufficient to make a formal change in the file XXXX.hs (e.g. add an empty row) to force its re-build.

If dependencies or project structure have changed, then run the configuration again.

cabal install --only-dependencies
cabal configure
cabal build

Derivative sensitivity part

Building starts at pleak-sql-analysis/banach. First, repeat the building procedure using cabal, exactly in the same way as it was done for local sensitivity part.

PostgreSQL needs to run as a background process on the local machine. The analyzer should work at least with version 9.5.13.

After PostgreSQL has been installed, it is necessary to create a database named 'banach', assuming it will be used only by the sensitivity analyzer. Permissions on 'banach' database need to be given to the user that runs the analyzer. Here is an example of how to do it with Ubuntu system:

USERNAME@xxxx:~$ sudo -u postgres -i

Here the system prompts USERNAME's password.

postgres@xxxx:~$ psql
postgres=# create user USERNAME;
postgres=# create database USERNAME;
postgres=# \q

Now try to log in under USERNAME:

postgres@xxxx:~$ exit
logout
USERNAME@xxxx:~$ psql
psql (9.5.13)
Type "help" for help.

Finally, create the database named 'banach'

USERNAME=# create database banach;
CREATE DATABASE
USERNAME=# \c banach;
You are now connected to database "banach" as user USERNAME.
USERNAME=# \q

All required components should now have been installed and configured. The executable is created in the subdirectory dist/build/banach.

Combined sensitivity

While both local and derivative sensitivity analyzers can be used independently, we can combine their results together, so that both types of distances can be defined for the tables. To enable such analysis, go to pleak-sql-analysis/banach and give execution permission to the file sqlsa-quiet located there.

chmod a+x sqlsa-quiet

The derivative sensitivity analyzer will now be able to call the local sensitivity analyzer.

Running the analysis

We give some example runs of the analyzers.

Derivative sensitivity analysis

dist/build/banach/banach -QDs --db-create-tables demo_schema.sql demo_query.sql demo_constraints.att --epsilon 1.0 --beta 0.1

where

The parameters epsilon and beta are optional. The default epsilon value is 1, so it is actually reasonable for the user to choose it depending on privacy requirements. The default beta is chosen in such a way that it is adapted to epsilon, so it is not of great importance.

The parameter –db-create-tables reads data from .db files and stores it to PostgreSQL database. Hence, if the data has already been uploaded once and it has not been updated, there is no need to create the tables again, and –db-create-tables can be removed.

Guessing advantage analysis

dist/build/banach/banach -QDsp --db-create-tables demo_schema.sql demo_query.sql demo_constraints.att --policy=demo_attacker_goal.sql --epsilon 0.3

where

Combined sensitivity analysis

dist/build/banach/banach -QDsc --db-create-tables demo_schema.sql demo_query.sql demo_constraints.att --epsilon 1.0 --beta 0.1 --distance-G=1.0

where

More examples

More examples can be found in the subdirectories of pleak-sql-analysis/banach/lightweight-examples/, where 'test.sh' scripts show how to run these examples.