@article{651575de471e428cb0ab38afe93c5575,
title = "Bio-chemical assay locking to thwart bio-IP theft",
abstract = "It is expected that as digital microfluidic biochips (DMFBs) mature, the hardware design flow will begin to resemble the current practice in the semiconductor industry: design teams send chip layouts to third-party foundries for fabrication. These foundries are untrusted and threaten to steal valuable intellectual property (IP). In a DMFB, the IP consists of not only hardware layouts but also of the biochemical assays (bioassays) that are intended to be executed on-chip. DMFB designers therefore must defend these protocols against theft. We propose to “lock” biochemical assays by inserting dummy mix-split operations. We experimentally evaluate the proposed locking mechanism, and show how a high level of protection can be achieved even on bioassays with low complexity. We also demonstrate a new class of attacks that exploit the side-channel information to launch sophisticated attacks on the locked bioassay.",
keywords = "Bioassay, Digital microfluidic biochip, IP-theft, Locking",
author = "Sukanta Bhattacharjee and Jack Tang and Sudip Poddar and Mohamed Ibrahim and Ramesh Karri and Krishnendu Chakrabarty",
note = "Funding Information: This research is supported in part by the Army Research Office under grant number W911NF-17-1-0320, NSF Award number CNS-1833622 and CNS-1833624, NYU Center for Cyber Security (CCS), and CCS-AD. A preliminary version of this article has appeared in the proceedings of ETS 2018 [13]. Funding Information: This research is supported in part by the Army Research Office under grant number W911NF-17-1-0320, NSF Award number CNS-1833622 and CNS-1833624, NYU Center for Cyber Security (CCS), and CCS-AD. A preliminary version of this article has appeared in the proceedings of ETS 2018 [13]. Authors{\textquoteright} addresses: S. Bhattacharjee (corresponding author), Center for Cyber Security, New York University Abu Dhabi, Abu Dhabi, 129188, UAE; email: sb6538@nyu.edu; J. Tang and R. Karri, Tandon School of Engineering, New York University, New York, 11201, New York, USA; emails: {jtang, rkarri}@nyu.edu; S. Poddar, Advanced Computing and Microelectronics Unit, Indian Statistical Institute, Kolkata, 700108, West Bengal, India; email: sudippoddar2006@gmail.com; M. Ibrahim, Centralized Design and Test Engineering Group, Intel Corp. San Jose, 95134, California, USA; email: Mohamed.ibrahim@intel.com; K. Chakrabarty, Duke University, Department of Electrical and Computer Engineering, Durham, North Carolina, 27708, USA; email: krish@duke.edu. Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from permissions@acm.org. {\textcopyright} 2019 Association for Computing Machinery. 1084-4309/2019/11-ART5 $15.00 https://doi.org/10.1145/3365579",
year = "2019",
month = dec,
doi = "10.1145/3365579",
language = "English (US)",
volume = "25",
journal = "ACM Transactions on Design Automation of Electronic Systems",
issn = "1084-4309",
publisher = "Association for Computing Machinery (ACM)",
number = "1",
}