System for detecting short duration attacks on connected vehicles
AssigneeTelefonaktiebolaget LM Ericsson (publ)
InventorWassim Haddad
Life of this patent
Estimating the term…
Abstract
A network device implements a method to protect a vehicle from insertion of malicious operations. The method includes establishing a communication session with a requestor as a proxy for the vehicle, receiving status information from the vehicle, querying a deep learning platform with the status information and message from the requestor, and dropping the message from the requestor in response to the deep learning platform indicating the message is malicious.
Claims17
A method implemented by a network device in a communication network to protect a vehicle from insertion of malicious operations, the method comprising:
- establishing, by a virtual vehicle entity executed by the network device, a first communication session with a requestor, the virtual vehicle entity operating as a proxy for the vehicle, the virtual vehicle entity having a location that is in proximity to the vehicle, the location of the virtual vehicle entity moving based on the vehicle moving;
- querying traffic management infrastructure proximate to the vehicle for status information related to the vehicle, the traffic management infrastructure including at least one of:
- roadside sensors;
- and
- a service providing at least one of weather information, and road condition reports;
- receiving, by the virtual vehicle entity, a status information from the vehicle, the status information including at least one of:
- a current state;
- and
- a snapshot of an operation of any subset of components of the vehicle;
- querying, by the virtual vehicle entity, a deep learning platform with the status information received from the traffic management infrastructure and the vehicle and message from the requestor;
- and
- dropping, by the virtual vehicle entity, the message from the requestor in response to the deep learning platform indicating the message is malicious.
A non-transitory computer-readable medium having stored therein a set of instructions, which when executed by a computing device causes the computing device to perform a set of operations to implement a method to protect a vehicle from insertion of malicious operations, the set of operations comprising:
- establishing, by a virtual vehicle entity executed by the computing device, a first communication session with a requestor, the virtual vehicle entity operating as a proxy for the vehicle, the virtual vehicle entity having a location that is in proximity to the vehicle, the location of the virtual vehicle entity moving based on the vehicle moving;
- querying traffic management infrastructure proximate to the vehicle for status information related to the vehicle, the traffic management infrastructure including at least one of:
- roadside sensors;
- and
- a service providing at least one of weather information, and road condition reports;
- receiving, by the virtual vehicle entity, a status information from the vehicle via a radio access network, the status information including at least one of:
- a current state;
- and
- a snapshot of an operation of any subset of components of the vehicle;
- querying, by the virtual vehicle entity, a deep learning platform with the status information received from the traffic management infrastructure and the vehicle and message from the requestor;
- and
- dropping, by the virtual vehicle entity, the message from the requestor in response to the deep learning platform indicating the message is malicious.
A network device to execute a method to protect a vehicle from insertion of malicious operations, the network device comprising:
- a non-transitory computer-readable medium having stored therein a virtual vehicle entity;
- and
- a processor coupled to the non-transitory computer-readable medium, the processor being configured to execute the virtual vehicle entity, the virtual vehicle entity being configured to:
- establish a first communication session with a requestor, the virtual vehicle entity operating as a proxy for the vehicle, the virtual vehicle entity having a location that is in proximity to the vehicle, the location of the virtual vehicle entity moving based on the vehicle moving;
- query traffic management infrastructure proximate to the vehicle for status information related to the vehicle, the traffic management infrastructure including at least one of:
- roadside sensors;
- and
- a service providing at least one of weather information, and road condition reports;
- receive a status information from the vehicle via a radio access network, the status information including at least one of:
- a current state;
- and
- a snapshot of an operation of any subset of components of the vehicle;
- query a deep learning platform with the status information received from the traffic management infrastructure and the vehicle and message from the requestor;
- and
- drop the message from the requestor in response to the deep learning platform indicating the message is malicious.
Dependencies are inferred from the claim text.