Dynamic Vehicle Group Access Control for Smart Car Privacy

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Solution Overview

Problem

Smart vehicles face significant security and privacy concerns due to their large attack surface, which can be exploited by malicious attackers, leading to potential risks to human life and limb, and existing access control mechanisms are inadequate in providing flexible and fine-granularity access control in dynamic and distributed vehicular IoT environments.

Innovation Solution

The implementation of a dynamic groups and attribute-based access control (ABAC) model, referred to as CV-ABACG, which assigns vehicles to groups based on attributes like location and user preferences, enabling fine-grained authorization policies and ensuring relevant notifications and data access while protecting user privacy.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If traditional access control mechanisms are used in smart vehicles, then implementation is simple, but security and privacy protection is insufficient

Engineering Contradiction:
Improvesecurity and privacy protectionVSAvoidaccess control mechanism complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent transitions from static access control parameters to dynamic parameters based on vehicle attributes (location, speed, direction, vehicle type) and sensor attributes. This allows the access control system to adapt its security policies based on real-time conditions, improving security without requiring a completely new system architecture.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The patent implements dynamic group assignment where vehicles are automatically assigned to groups based on their current attributes and sensor data. This dynamic behavior allows the system to respond to changing conditions in real-time, enhancing security while maintaining manageable complexity through automated processes.

Inventive Principle:
Principle #15Dynamics

2Reliability

If fine-granularity access control is implemented in distributed vehicular IoT environments, then security is improved, but system complexity and administrative overhead increase

Engineering Contradiction:
Improveaccess control granularityVSAvoidsystem and administrative complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent segments the vehicular IoT system into distinct components: vehicles with specific attributes, sensors with specific attributes, dynamic groups, and access control policies. This segmentation allows fine-grained control over each component while managing complexity through modular organization and clear boundaries between elements.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system automatically performs group assignment and policy evaluation based on vehicle and sensor attributes without requiring manual administrative intervention. This self-service capability reduces administrative overhead while maintaining fine-grained access control, as the system dynamically adjusts permissions based on real-time conditions.

Inventive Principle:
Principle #25Self-service

3Adaptability or versatility

If dynamic groups are assigned to moving entities based on current attributes, then location and time-sensitive notification relevance is improved, but computational requirements increase

Engineering Contradiction:
Improvenotification relevanceVSAvoidcomputational energy consumption
Core Design Contradiction:
Adaptability or versatilityVSUse of energy by moving object

Solution Approach 1:

The system pre-establishes access control policies and group definitions before runtime. During operation, it only needs to evaluate whether current vehicle and sensor attributes match these pre-defined criteria, rather than performing complex computations. This preliminary setup reduces real-time computational requirements while maintaining high adaptability.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent applies different access control policies and group assignments to different local contexts (specific locations, vehicle types, sensor categories). This localized approach allows the system to be highly adaptive to specific conditions without requiring global recomputation, reducing overall computational energy consumption while maintaining notification relevance.

Inventive Principle:
Principle #3Local quality

Data Source

PatentUS11858517B2Dynamic groups and attribute-based access control for next-generation smart cars
Publication Date: 2024.01.02 BOARD OF RGT THE UNIV OF TEXAS SYST
  • US11858517B2 patent drawing
  • US11858517B2 patent drawing
  • US11858517B2 patent drawing

AI summary

Embodiments of the present systems and methods may provide techniques that provide dynamic groups and attribute-based access control (ABAC) model (referred as CV-ABACG) to secure communication, data exchange and resource access in smart vehicles ecosystems. In embodiments, the model not only considers system wide attributes-based security policies, but also takes into account individual user privacy preferences for allowing or denying service notifications, alerts, and operations to on-board resources. Embodiments of the present systems and methods may provide groups in vehicular IoT, which may be dynamically assigned to moving entities like connected cars, based on their current GPS coordinates, speed or other attributes, to ensure relevance of location and time sensitive notification services, to provide administrative benefits to manage large numbers of entities, and to enable attributes inheritance for fine-grained authorization policies.