Translated Title
Differential Privacy Scheme for Digital Microfluidic Biochips
Translated Abstract
Digital Microfluidic Biochip(DMFB)-based molecular diagnostic techniques have recently become hot topics.Compared with traditional molecular diagnostic techniques,digital microfluidic biochips have advantages in precise con-trol of discrete droplets and execution of biochemical protocols.However,as components of networked cyber-physical systems,potential privacy and security issues of biochips are increasingly prominent,for instance,eavesdropping attacks on communication channels,tampering attacks on biochemical protocols,and copyright attacks on physical structure pro-tection.Differential Privacy(DP),a de facto standard for achieving privacy,is trying to incorporate DMFB applications to protect user privacy.However,as the intersection of privacy-preserving technology,DMFB applications,and DMFB secu-rity,comprehensive research on this area is relatively rare.Investigating and analyzing the implementation mechanisms and threat models of biochip applications,including biochemical protocols,cyber-physical systems,and Enhanced privacy protection DMFB＇s user data security platform,this paper proposes the application scenarios and protection schemes of differential privacy techniques on DMFB user data platform.Firstly,the application scenarios and protection schemes of Laplace mechanism,Gaussian mechanism,and random response mechanism were described on the DMFB user data plat-form.Secondly,parameter security publishing algorithms were proposed based on three strategies:user level sensitivity,routing weight set,and routing intersection parameter set.Finally,tamper proof probability was created as a security indi-cator,while confidence scores,calibration,and cumulative error rate were established to measure data availability.The simulation experiment results show that the overall privacy security of the scheme can reach 100%,and the average data availability can reach 93.3%.The algorithm performance test shows that the optimal privacy budget range of the scheme is 0.4.In addition,compared with similar algorithms,the proposed scheme improves privacy security by 12.09%on average,and data availability by 7.02%.Therefore,this scheme can be a secure and effective user data platform for DMFB to exe-cute biochemical protocols.
Translated Keyword
biochemical protocol
data security
differential privacy
digital microfluidic biochip
Access Number
WF:perioarticalxxaqxb202406004
