FACILITATING DYNAMIC FILTERING AND LOCAL AND/OR REMOTE PROCESSING OF DATA BASED ON PRIVACY POLICIES AND/OR USER PREFERENCES

• US 20170094018A1
• Filed: 09/24/2015
• Published: 03/30/2017
• Est. Priority Date: 09/24/2015
• Status: Active Grant

• Current Assignee: Intel Corporation
• Original Assignee: Intel Corporation
• Inventors: EKSTRM, JAN, PUUSTINEN, ISMO, UIMONEN, JASKA
• Granted Patent: US 10,542,118 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G08B 13/00 Burglar, theft or intruder alarms
• CPC Class Codes: H04L 67/10 in which an application is distributed across nodes in the network software deployment G06F8/60; multiprogramming arrangements G06F9/46
• CPC Class Codes: H04L 67/12 specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
• CPC Class Codes: H04L 67/306 User profiles
• CPC Class Codes: H04L 67/53 using third party service providers
• CPC Class Codes: H04L 67/63 Routing a service request depending on the request content or context
• CPC Class Codes: H04W 4/60 Subscription-based services using application servers or record carriers, e.g. SIM application toolkits
• CPC Class Codes: H04W 4/70 Services for machine-to-machine communication [M2M] or machine type communication [MTC]
• CPC Class Codes: H04W 4/90 Services for handling of emergency or hazardous situations, e.g. earthquake and tsunami warning systems [ETWS]
• CPC Class Codes: H04W 8/16 selectively restricting mobility data tracking

Abstract

A mechanism is described for facilitating smart filtering and local/remote processing of data according to one embodiment. A method of embodiments, as described herein, includes detecting data collected via one or more sensing components, and evaluating the collected data to identify one or more portions of the collected data having privacy relevance, where evaluating further includes classifying the one or more portions as private data and other portions of the collected as non-private data. The method may further include filtering out the private data from the non-private data of the collected data, and processing the private data, where the non-private data is transmitted to a remote computing device over a network.

Claims

1. An apparatus comprising:

detection/reception logic to detect data collected via one or more sensing components;

evaluation/classification logic to evaluate the collected data to identify one or more portions of the collected data having privacy relevance, wherein the evaluation/classification logic is further to classify the one or more portions as private data, wherein the evaluation classification logic is further to classify other portions of the collected as non-private data;

filtering logic to filter out the private data from the non-private data of the collected data; and

communication/compatibility logic to facilitate processing of the private data at the apparatus, wherein the non-private data is transmitted to a computing device over a network.

2. The apparatus of claim 1, further comprising rules and criteria logic to offer rules and criteria based on at least one of laws, policies, user profiles, and preferences, wherein the laws include one or more of national laws, provincial laws, and local laws, wherein the policies include one or more of governmental policies, third-party service provider policies, company policies, and system policies, wherein the user profiles relate to one or more users having access to the apparatus, wherein the preferences include at least one of user preferences and service provider preferences.

3. The apparatus of claim 1, further comprising notification/instruction logic to generate a notification to be transmitted to the computing device, wherein the notification is transmitted to the computing device in close proximity of the transmission of the non-private data to alert the computing device of missing of the private data, wherein the non-private data is remotely processed at the computing device.

4. The apparatus of claim 1, wherein the evaluation/classification logic is further to evaluate results of processing of the private data to determine non-private contents of the results.

5. The apparatus of claim 4, wherein the filtering logic is further to filter out the non-private contents from private contents of the results, and

wherein communication/compatibility logic is further to transmit the non-private contents of the results to the computing device over the network, wherein the non-private contents are processed remotely at the computing device.

6. The apparatus of claim 1, wherein the private data is classified based on at least one of one or more types of the one or more sensing components, the rules and criteria, one or more domains, and one or more scenarios.

7. The apparatus of claim 6, wherein the one or more types of the one or more sensing components comprise at least one of a sensor, a detector, a microphone, and a camera, wherein the one or more domains comprise at least one of a movement domain, an audio domain, and a video domain, wherein the privacy data is detected over one or more of the domains, wherein the one or more scenarios include at least one of a predefined event, an unusual occurrence, and an emergency.

8. The apparatus of claim 1, wherein the apparatus includes at least one of an Internet of Things (IoT) devices, wearable devices, mobile computing devices, and laptop computers, wherein the IoT devices includes one or more of smart household devices, smart office devices, smart medical devices, smart police devices, smart traffic devices, smart vehicle devices, smart building devices, and smart scientific devices.

9. The apparatus of claim 1, wherein the computing device comprises a remote data processing device including a cloud-based server computer accessible over the network, wherein the network includes at least one of a cloud network and the Internet.

10. A method comprising:

detecting data collected via one or more sensing components;

evaluating the collected data to identify one or more portions of the collected data having privacy relevance, wherein evaluating further includes classifying the one or more portions as private data and other portions of the collected as non-private data;

filtering out the private data from the non-private data of the collected data; and

processing the private data, wherein the non-private data is transmitted to a remote computing device over a network.

11. The method of claim 10, further comprising offering rules and criteria based on at least one of laws, policies, user profiles, and preferences, wherein the laws include one or more of national laws, provincial laws, and local laws, wherein the policies include one or more of governmental policies, third-party service provider policies, company policies, and system policies, wherein the private data is processed at a local computing device and wherein the user profiles relate to one or more users having access to the local computing device, wherein the preferences include at least one of user preferences and service provider preferences.

12. The method of claim 10, further comprising generating a notification to be transmitted to the remote computing device, wherein the notification is transmitted to the remote computing device in close proximity of the transmission of the non-private data to alert the remote computing device of missing of the private data, wherein the non-private data is remotely processed at the remote computing device.

13. The method of claim 10, wherein evaluating further comprises evaluating results of processing of the private data to determine non-private contents of the results.

14. The method of claim 13, wherein filtering out further comprises filtering out the non-private contents from private contents of the results, and

wherein transmitting further comprises transmitting the non-private contents of the results to the remote computing device over the network, wherein the non-private contents are processed remotely at the remote computing device.

15. The method of claim 10, wherein the private data is classified based on at least one of one or more types of the one or more sensing components, the rules and criteria, one or more domains, and one or more scenarios.

16. The method of claim 15, wherein the one or more types of the one or more sensing components comprise at least one of a sensor, a detector, a microphone, and a camera, wherein the one or more domains comprise at least one of a movement domain, an audio domain, and a video domain, wherein the privacy data is detected over one or more of the domains, wherein the one or more scenarios include at least one of a predefined event, an unusual occurrence, and an emergency.

17. The method of claim 10, wherein the local computing device includes at least one of an Internet of Things (IoT) devices, wearable devices, mobile computing devices, and laptop computers, wherein the IoT devices includes one or more of smart household devices, smart office devices, smart medical devices, smart police devices, smart traffic devices, smart vehicle devices, smart building devices, and smart scientific devices.

18. The method of claim 10, wherein the remote computing device comprises a remote data processing device including a cloud-based server computer accessible over the network, wherein the network includes at least one of a cloud network and the Internet.

19. At least one machine-readable medium comprising a plurality of instructions, executed on a computing device, to facilitate the computing device to perform one or more operations comprising:

detecting data collected via one or more sensing components;

evaluating the collected data to identify one or more portions of the collected data having privacy relevance, wherein evaluating further includes classifying the one or more portions as private data and other portions of the collected as non-private data;

filtering out the private data from the non-private data of the collected data; and

transmitting the non-private data to a remote computing device over a network, wherein the private data is processed at a local computing device.

20. The machine-readable medium of claim 19, further comprising offering rules and criteria based on at least one of laws, policies, user profiles, and preferences, wherein the laws include one or more of national laws, provincial laws, and local laws, wherein the policies include one or more of governmental policies, third-party service provider policies, company policies, and system policies, wherein the private data is processed at a local computing device and wherein the user profiles relate to one or more users having access to the local computing device, wherein the preferences include at least one of user preferences and service provider preferences.

21. The machine-readable medium of claim 19, further comprising generating a notification to be transmitted to the remote computing device, wherein the notification is transmitted to the remote computing device in close proximity of the transmission of the non-private data to alert the remote computing device of missing of the private data, wherein the non-private data is remotely processed at the remote computing device.

22. The machine-readable medium of claim 19, wherein evaluating further comprises evaluating results of processing of the private data to determine non-private contents of the results.

23. The machine-readable medium of claim 22, wherein filtering out further comprises filtering out the non-private contents from private contents of the results, and

wherein transmitting further comprises transmitting the non-private contents of the results to the remote computing device over the network, wherein the non-private contents are processed remotely at the remote computing device.

24. The machine-readable medium of claim 19, wherein the private data is classified based on at least one of one or more types of the one or more sensing components, the rules and criteria, one or more domains, and one or more scenarios.

25. The machine-readable medium of claim 24, wherein the one or more types of the one or more sensing components comprise at least one of a sensor, a detector, a microphone, and a camera, wherein the one or more domains comprise at least one of a movement domain, an audio domain, and a video domain, wherein the privacy data is detected over one or more of the domains, wherein the one or more scenarios include at least one of a predefined event, an unusual occurrence, and an emergency,

wherein the local computing device includes at least one of an Internet of Things (IoT) devices, wearable devices, mobile computing devices, and laptop computers, wherein the IoT devices includes one or more of smart household devices, smart office devices, smart medical devices, smart police devices, smart traffic devices, smart vehicle devices, smart building devices, and smart scientific devices,

wherein the remote computing device comprises a remote data processing device including a cloud-based server computer accessible over the network, wherein the network includes at least one of a cloud network and the Internet.