V2X Fuzzing Attack Detection via Packet Field Analysis
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Solution Overview
Problem
Existing wireless communication systems, particularly in V2X communications, struggle to detect fuzzing attacks effectively, leading to potential vulnerabilities in the ITS protocol stack and increased computational and communication overhead.
Innovation Solution
A communication device equipped with a misbehavior protection system that can detect fuzzing attacks by analyzing variations in packet fields across multiple messages, using a single detector to identify malformed fields and multiple detectors to detect sequences of attacks, and transmitting a report to a network to track and block malicious devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple detectors are used to detect sequences of attacks, then detection accuracy is improved, but device complexity increases
Solution Approach 1:
The detection system is divided into multiple specialized detectors, each responsible for detecting specific types of attacks or attack patterns. This segmentation allows each detector to focus on particular aspects of attack detection, improving overall detection accuracy while maintaining manageable complexity through modular design
Solution Approach 2:
The detectors are designed to work together in a coordinated manner, with each detector contributing to the overall detection capability. The system can detect various types of attacks (fuzzing, replay, spoofing) using a unified multi-detector framework, making the system universally applicable to different attack scenarios
2Loss of energy
If a single report aggregates evidence of multiple misbehaviors, then communication overhead is reduced, but detection precision may be compromised
Solution Approach 1:
Evidence from multiple detected attacks and misbehaviors is aggregated into a single comprehensive report. This merging reduces the number of separate communications required, lowering communication overhead while preserving detection precision through structured aggregation of attack evidence
Solution Approach 2:
The aggregated report provides feedback to the network about multiple attacks and misbehaviors detected by the system. This feedback mechanism allows the network to respond appropriately to the collected evidence, maintaining detection precision through systematic reporting of attack patterns
3Reliability
If the system tracks and blocks malicious devices, then security is improved, but loss of time occurs due to tracking operations
Solution Approach 1:
The system performs tracking of malicious devices as a preliminary action to security blocking. By tracking and identifying attack patterns before implementing blocking measures, the system ensures accurate targeting of malicious devices while minimizing unnecessary blocking of legitimate traffic, thereby reducing time loss
4Reliability
If the system detects fuzzing attacks by analyzing packet field variations, then security is improved, but computational overhead increases
Solution Approach 1:
The system applies field-specific default values and analysis rules to different packet fields, rather than uniformly analyzing all fields. This local quality approach allows the system to focus computational resources on fields that are more susceptible to fuzzing attacks, improving security while reducing overall computational overhead
Data Source
AI summary
Methods, systems, and devices for wireless communications are described. A communication device may detect vehicle-to-everything (V2X) fuzzing attacks. The communication device may receive a set of packets. Each packet of the set of packets includes a set of information element (IE) fields. The communication device determine a change to one or more IE fields of the set of IE fields and associated with at least a subset of packets of the set of packets based on comparing a respective value associated with each of the one or more IE fields to a respective default value associated with each of the one or more IE fields. As a result, the communication device may transmit a report indicating a plurality of fuzzing attacks at the communication device.