Efficient and Reliable Identification of Probabilistic Cloning Attacks in Large-Scale RFID Systems

Area of Science:

• Computer Science
• Information Security

Background:

• Radio Frequency Identification (RFID) technology is crucial for logistics and supply chain management.
• Cloning attacks on RFID tags pose risks to data security, privacy, and economic interests.
• Existing cloning detection methods are hindered by missing tags, reducing efficiency and accuracy.

Purpose of the Study:

• To propose a novel protocol for identifying cloned RFID tags in systems with missing tags.
• To enhance the efficiency and accuracy of RFID tag cloning attack detection.

Main Methods:

• Introduced a block indicator and block mechanism for systematic tag sorting and response.
• Designed a superposition strategy to minimize verification times and execution overhead.
• Developed a precise method to identify cloning attacks by analyzing tag response patterns.

Main Results:

• The proposed block-based cloned tag identification (BCTI) protocol effectively identifies cloning attacks.
• The protocol mitigates interference from missing tags in probabilistic cloning attack scenarios.
• BCTI achieves an average improvement of 24.01% in identification efficiency compared to existing solutions.

Conclusions:

• The BCTI protocol meets identification reliability thresholds in diverse scenarios.
• This approach offers a robust solution for detecting RFID tag cloning attacks.
• The protocol significantly enhances RFID system security and operational efficiency.