Material-level countermeasures for securing microfluidic biochips

Author:

Baban Navajit Singh1ORCID,Saha Sohini2,Jancheska Sofija3,Singh Inderjeet1,Khapli Sachin1,Khobdabayev Maksat1,Kim Jongmin1,Bhattacharjee Sukanta4,Song Yong-Ak156ORCID,Chakrabarty Krishnendu7,Karri Ramesh3

Affiliation:

1. Division of Engineering, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates

2. Department of Electrical and Computer Engineering, Duke University, Durham, USA

3. Department of Electrical and Computer Engineering, Tandon School of Engineering, New York University, New York, USA

4. Department of Computer Science and Engineering, Indian Institute of Technology Guwahati, India

5. Department of Chemical and Biomolecular Engineering, Tandon School of Engineering, New York University, New York, USA

6. Department of Biomedical Engineering, Tandon School of Engineering, New York University, New York, USA

7. School of Electrical, Computer and Energy Engineering, Arizona State University, Phoenix, Arizona, USA

Abstract

We present novel material-level countermeasures in the form of watermarking and machine learning-based solutions that biochip companies can effectively utilize to secure their products against malicious and intellectual property (IP) theft attacks.

Funder

National Science Foundation

Publisher

Royal Society of Chemistry (RSC)

Subject

Biomedical Engineering,General Chemistry,Biochemistry,Bioengineering

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