Beijing Didi Infinity Technology and Development Co., Ltd.

Didi Research America, LLC

Huaiyu Zhu

Dong Li

Jing Chen

Deyu Hu

Shray Kapoor

Yichong Lin

Haocheng Zhang

Michael Lin

Junbo Shi

Kang Yuan

Incidents may be monitored using a camera in response to an activation of a trigger device. Trigger data may be received over a communication network in response to activation of a trigger device disposed within a first area of a vehicle. A camera disposed within a second area of the vehicle may be controlled over the communication network in response to receiving the trigger data, the controlling causing the camera to capture sensor information of a passenger of the vehicle. Passenger information of the passenger of the vehicle may be obtained in response to receiving the trigger data. An alert notification may be generated. The alert notification may comprise at least a portion of the sensor information of the passenger, and the alert notification may be capable of initiating one or more incident actions associated with the passenger.

Cloud-controlled vehicle security system

After determining a trip order has a high risk, verification information unavailable in a passenger information database system can be requested and provided for a passenger of the account. Validity of the verification information can be determined using a verification service and stored in a passenger information database. A decision for the trip order can be determined based on the validity of the verification information stored in the passenger information database.

Augmented passenger verification

Dynamic geofence zones may be deployed and updated for a ride sharing service. At least one set of dynamic geofence zones may be created which are associated with a ride sharing service. At least one time period may be set for the at least one set of dynamic geofence zones. The at least one set of dynamic geofence zones may be deployed. The at least one set of dynamic geofence zones may be updated.

Dynamic geofence zones for ride sharing

Systems and methods are provided for data security grading. An exemplary method for data security grading, implementable by a computer, may comprise receiving a request to access a query data field, searching for the query data field from a security level table, in response to finding the query data field from the security level table, obtaining from the security level table a security level corresponding to the query data field, and in response to not finding the query data field from the security level table, determining a security level corresponding to the query data field based at least on a lineage tree and the security level table. The lineage tree may trace the query data field to one or more source data fields, and the security data level table may comprise one or more security levels corresponding to the one or more source data fields.

System and method for data security grading

Safety geofence zones may be created and deployed for a ride sharing service. At least one set of safety geofence zones may be created which are associated with a ride sharing service. A zone type may be set for each set of safety geofence zones in the at least one set of safety geofence zones. At least one trigger condition may be set for the at least one set of safety geofence zones. The at least one set of safety geofence zones may be deployed.

Safety geofence zone deployment

Process states of computing devices may be obtained and processed. Process event information of a computing device may be obtained. The process event information may characterize states of processes of the computing device. The process event information may be stored within a queue. Graph information may be determined based on the process event information within the queue. The graph information may characterize states of processes of the computing device using nodes and edges. The graph information may be stored within a graph database.

System and method for process state processing

Process states of computing devices may be collected for processing. Process event information of a first computing device may be determined based on an observation of process creation events and process termination events, a garbage collection, and a process scan. The process event information may be provided to a second computing device.

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Newark, CA, United States of America

Huaiyu Zhu