Method and system for aggregating regulations for automotive data
A method and system for generating aggregation from a plurality of sets of regulations are disclosed herein. The method may include the following steps: collecting a plurality of set of regulations, wherein a number of regulations in each set of regulations is significantly higher than a set of objects to which the regulations apply; generating a regulations and restriction in a form of a network of the collected sets of regulations; and applying a user defined inference algorithm to derive an applied aggregation responsive to a user-defined use case.
1. A method of aggregating automotive data regulations from a plurality of data sources, the method comprising:
collecting a plurality of sets of automotive data regulations from a plurality of data sources by unifying subsets of the sets of automotive data regulations;
selecting an aggregation type from a plurality of predetermined regulations aggregation types, wherein the selecting is based on respective use cases applicable to specified data consumers; and
applying the aggregation type to said subsets of the sets of automotive data regulations, responsive to the selecting, to yield aggregated automotive data regulations that are tailored per said respective use cases applicable to said specified data consumers,
wherein said automotive data regulations comprise at least one data protection rule and at least one non data protection rule, applicable to automotive data collected by at least one of a plurality of sensors of one of a plurality of connected cars, located at one of a plurality of jurisdictions,
and wherein said applying of the aggregation type is further based on a change to said automotive data regulations over time, and
wherein some of the regulations apply different restrictions on data transfer for different ones of the plurality of the sensors on a same one of the connected cars,
wherein one of said aggregation types is a unity mode in which one set of automotive data regulations is applied to all types of automotive data,
wherein one of said aggregation types is an aggregative mode in which different sets of automotive data regulations are applied to different types and/or identities of automotive data,
wherein one of said aggregation types is an aggregative resolution mode in which different sets of automotive data regulations are applied to different types and/or identities of data,
wherein said sets of automotive data regulations further change over time,
wherein said aggregative resolution mode further comprise a conflict resolution mechanism that resolves conflicts between different automotive data regulations applicable to same automotive data, and
wherein said selecting comprises applying a user defined inference algorithm, to deduce said type of aggregation responsive to a user-defined use case.
2. The method according to claim 1 , wherein a number of automotive data regulations in said sets of regulations is significantly higher than a set of connected vehicles to which said automotive data regulations apply.
3. The method according to claim 1 , further comprising allocating a cost or a penalty to detected conflicts between different automotive data regulations in order to reduce the cost or penalty of the detected conflicts.
4. The method according to claim 1 , further comprising using hints received from external sources indicating change of at least some of the regulations and carrying out an update in runtime to said subsets of the sets of automotive data regulations.
5. A system for aggregating automotive data regulations from a plurality of data sources, the system comprising:
a computer processor;
a regulations collection module executed on said computer processor and configured to collect a plurality of sets of automotive data regulations from a plurality of sources by unifying subsets of the sets of automotive data regulations; and
an aggregation module executed on said computer processor and configured to:
select an aggregation type from a plurality of predetermined regulations aggregation types, wherein the selecting is based on respective use cases applicable to specified data consumers; and
apply the aggregation type to said subsets of the sets of automotive data regulations, responsive to the selecting, to yield aggregated automotive data regulations that are tailored per said respective use cases applicable to said specified data consumers
wherein said automotive data regulations comprise at least one data protection rule and at least one non data protection rule, applicable to automotive data collected by at least one of a plurality of sensors of one of a plurality of connected cars, located at one of a plurality of jurisdictions,
and wherein said applying of the aggregation type is further based on a change to said automotive data regulations over time, and
wherein some of the regulations apply different restrictions on data transfer for different ones of the plurality of the sensors on a same one of the connected cars,
wherein one of said aggregation types is a unity mode in which one set of automotive data regulations is applied to all types of automotive data,
wherein one of said aggregation types is an aggregative mode in which different sets of automotive data regulations are applied to different types and/or identities of automotive data,
wherein one of said aggregation types is an aggregative resolution mode in which different sets of automotive data regulations are applied to different types and/or identities of data,
wherein said sets of automotive data regulations further change over time,
wherein said aggregative resolution mode further comprise a conflict resolution mechanism that resolves conflicts between different automotive data regulations applicable to same automotive data, and
wherein said selecting by the aggregation module comprises applying a user defined inference algorithm, to deduce said type of aggregation responsive to a user-defined use case.
6. The system according to claim 5 , wherein a number of automotive data regulations in said sets of regulations is significantly higher than a set of connected vehicles to which said automotive data regulations apply.
7. The system according to claim 5 , wherein said aggregative resolution mode further comprise a conflict resolution mechanism that resolves conflicts between different automotive data regulations applicable to same automotive data.
8. A non-transitory computer readable medium comprising a set of instructions that when executed cause at least one computer processor to:
collect a plurality of sets of automotive data regulations from a plurality of sources by unifying subsets of the sets of automotive data regulations; and
an aggregation module executed on said computer processor and configured to:
select an aggregation type from a plurality of predetermined regulations aggregation types, wherein the selecting is based on respective use cases applicable to specified data consumers; and
apply the aggregation type to said subsets of the sets of automotive data regulations, responsive to the selecting, to yield aggregated automotive data regulations that are tailored per said respective use cases applicable to said specified data consumers,
wherein said automotive data regulations comprise at least one data protection rule and at least one non data protection rule, applicable to automotive data collected by at least one of a plurality of sensors of one of a plurality of connected cars, located at one of a plurality of jurisdictions,
and wherein said applying of the aggregation type is further based on a change to said automotive data regulations over time, and
wherein some of the regulations apply different restrictions on data transfer for different ones of the plurality of the sensors on a same one of the connected cars,
wherein one of said aggregation types is a unity mode in which one set of automotive data regulations is applied to all types of automotive data,
wherein one of said aggregation types is an aggregative mode in which different sets of automotive data regulations are applied to different types and/or identities of automotive data, and
wherein one of said aggregation types is an aggregative resolution mode in which different sets of automotive data regulations are applied to different types and/or identities of data, wherein said sets of automotive data regulations further change over time,
wherein said aggregative resolution mode further comprise a conflict resolution mechanism that resolves conflicts between different automotive data regulations applicable to same automotive data, and
wherein said selecting by the aggregation module comprises applying a user defined inference algorithm, to deduce said type of aggregation responsive to a user-defined use case.