Intel Corporation

Lital Shiryan

Suraj Sindia

Tamir Damian Munafo

Yuli Barcohen

Varada Tarun Rao

Santosh Ghosh

Balkaran Gill

A motor vehicle management system provides theft prevention based on contextual information. The motor vehicle management platform includes sensing equipment that can provide input data to determine a context of the vehicle and an operator of the vehicle. The context can include location information of the motor vehicle and an identity of the operator of the motor vehicle. Based on permissions for the operator, the system can determine if a context of the vehicle violates permissions for the identified operator.

Multi-modal context based vehicle management

A self-adaptive security framework for a device is disclosed. A first security level for a device is set wherein the first security level comprises procedures that authenticate a user and allow the user to access the device. Input from sensors associated with the device may be received at a contextual sensing engine, wherein the input at least includes location data, and wherein at least a portion of the input is related to a physical setting where the device is located. A threat level for the device is determined in the physical setting via the contextual sensing engine based on analyzing the input. The first security level is altered to a second security level to provide an altered threat response for the device based on the threat level wherein the second security level has different procedures to authenticate the user compared to the first security level.

Self-adaptive security framework

Multi-modal context based vehicle theft prevention

Growing community of inventors

Ramat Gan, Israel

Lital Shiryan