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Cyber-physical security of biochips: A perspective
Navajit Singh Baban1, Sukanta Bhattacharjee2, Yong-Ak Song1
1Division of Engineering, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates.
Biomicrofluidics
|June 2, 2025
Summary
Microfluidic biochips face security threats like tampering and IP theft. This research details advanced countermeasures, including AI-driven anomaly detection and molecular barcoding, to ensure device integrity and data security.
Area of Science:
- Biomedical Engineering
- Security Engineering
Background:
- Microfluidic biochips (MBs) are vital in diagnostics and research.
- Rapid MB deployment introduces vulnerabilities to tampering, material degradation, and intellectual property (IP) theft.
Purpose of the Study:
- To identify emerging security threats to MBs.
- To present a multi-layered security framework with novel countermeasures.
Main Methods:
- Deep learning-based anomaly detection for structural integrity.
- Mechano-responsive dyes and spectrometric watermarking for material security.
- Molecular barcoding for bio-sample authentication.
- Watermarking, PUFs, fingerprinting, and obfuscation for IP protection.
Main Results:
- Deep learning effectively detects structural faults via microstructural and optical changes.
- Material-level defenses prevent unauthorized chemical alterations.
- Molecular barcoding ensures bio-sample authenticity.
- IP protection techniques combat reverse engineering and counterfeiting.
Conclusions:
- A comprehensive, multi-layered security framework is essential for MBs.
- These countermeasures enhance the reliability, safety, and trustworthiness of MBs in critical applications.
- Proactive security measures are crucial for advancing MB technology.
