Vehicle Authentication System Using Behavioral Pattern Analysis
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Solution Overview
Problem
Conventional vehicle security systems, such as Passive Keyless Entry and Start (PKES) systems, are vulnerable to hacking attacks like relay attacks, and they do not adequately consider user behavioral patterns or scheduling characteristics, leading to inadequate authentication and security.
Innovation Solution
A vehicle authentication system that uses a communications interface to receive and process vehicle event signals, storing them along with a vehicle event schedule and authentication rules, and generates authentication requests if the signals are not compliant, incorporating multi-step authentication involving possession and knowledge factors, and utilizing portable devices for secure communication and data exchange.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional PKES systems are used for vehicle access, then user convenience is improved, but security vulnerability increases due to relay attacks
Solution Approach 1:
The system performs preliminary authentication by establishing behavioral patterns and schedules before actual access attempts. The authentication system learns normal user behaviors (when the vehicle is typically accessed, from where, with which devices) and uses this pre-established knowledge to evaluate and block suspicious relay attacks before they can succeed.
Solution Approach 2:
The system continuously monitors vehicle access events and feeds this information back to update behavioral patterns and schedules. By analyzing accumulated feedback data about normal usage patterns, the system dynamically adjusts authentication thresholds and can identify anomalies that indicate relay attacks, thereby improving security while maintaining convenience for legitimate users.
2Reliability
If multi-step authentication with behavioral analysis is implemented, then security is improved, but system complexity increases
Solution Approach 1:
The authentication system performs self-service by automatically learning and establishing behavioral patterns without requiring manual configuration or complex user setup. The system autonomously analyzes access data, identifies normal usage patterns, and implements authentication decisions based on these learned patterns, reducing the need for complex manual security configuration while maintaining high security standards.
3Measurement precision
If continuous monitoring of vehicle events is performed, then authentication accuracy is improved, but data processing requirements increase
Solution Approach 1:
The system extracts only the essential and relevant features from the continuous stream of vehicle event data for authentication purposes. Instead of processing all raw data, it selectively extracts behavioral patterns such as access timing, location, device identifiers, and sequence of events, thereby reducing data processing requirements while maintaining high authentication accuracy through focused analysis of critical authentication indicators.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances vehicle security by preventing unauthorized access through multi-step authentication and considers user behavioral patterns, reducing the risk of hacking attacks while providing a simplified and effective authentication process.
Implementation Method 1
a communications interface for receiving a vehicle event signal
Implementation Method 2
A processor, operatively coupled to the communications interface and storage, is configured to determine if the vehicle event signal is compliant with the vehicle event schedule
Data Source
AI summary
Apparatus, system and method for authenticating access to a vehicle, where vehicle events, such as a door lock condition or an operating condition of the vehicle, are reported to an authentication network. Vehicle events are compared to a vehicle schedule to determine if the vehicle events comply with the schedule using authentication rules. If the events are not compliant, an authentication request signal, requiring a predetermined authentication response, is transmitted to the vehicle. Access to the vehicle may be denied until a match to the predetermined authentication response is received. Authentication may include the use of a portable device, which may act as an intermediary between the vehicle and the authentication system. Vehicle events may further be reported to the portable device. Authentication rules may be updated automatically based on further incoming vehicle events, or may be updated manually using a computer.