Information leakage can lead to loss of intellectual property and competitive edge. One of the primary sources of information leakage in collaborative design is sharing confidential information with collaborators, who may be also collaborating with competitors. Hiding information from collaborators is challenging in codesign because it can lead to inferior and suboptimal solutions. Therefore, there is a need for techniques that enable designers to protect confidential information from their collaborators while achieving solutions that are as good as those obtained when full information is shared. To address this need, we propose a secure codesign (SCD) framework that enables designers to achieve optimal solutions without sharing confidential information. It is built on two principles: adding/multiplying a parameter with a large random number hides the value of the parameter, and adding/multiplying a large number is orders of magnitude faster than using existing cryptographic techniques. Building on the protocols for basic arithmetic computations, developed in our earlier work, we establish protocols for higher order computations involved in design problems. The framework is demonstrated using three codesign scenarios: requirements-driven codesign, objective-driven codesign, and Nash noncooperation. We show that the proposed SCD framework enables designers to achieve optimal solutions in all three scenarios. The proposed framework is orders of magnitude faster than competing (but impractical for engineering design) cryptographic methods such as homomorphic encryption, without compromising on precision in computations. Hence, the proposed SCD framework is a practical approach for maintaining confidentiality of information during codesign.
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June 2018
Research-Article
Secure Codesign: Achieving Optimality Without Revealing
Siva Chaitanya Chaduvula,
Siva Chaitanya Chaduvula
School of Mechanical Engineering,
Purdue University,
West Lafayette, IN 47907
Purdue University,
West Lafayette, IN 47907
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Mikhail J. Atallah,
Mikhail J. Atallah
Computer Science,
Purdue University,
West Lafayette, IN 47907
Purdue University,
West Lafayette, IN 47907
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Jitesh H. Panchal
Jitesh H. Panchal
School of Mechanical Engineering,
Purdue University,
West Lafayette, IN 47907
Purdue University,
West Lafayette, IN 47907
Search for other works by this author on:
Siva Chaitanya Chaduvula
School of Mechanical Engineering,
Purdue University,
West Lafayette, IN 47907
Purdue University,
West Lafayette, IN 47907
Mikhail J. Atallah
Computer Science,
Purdue University,
West Lafayette, IN 47907
Purdue University,
West Lafayette, IN 47907
Jitesh H. Panchal
School of Mechanical Engineering,
Purdue University,
West Lafayette, IN 47907
Purdue University,
West Lafayette, IN 47907
Manuscript received March 15, 2017; final manuscript received February 20, 2018; published online March 16, 2018. Assoc. Editor: Yan Wang.
J. Comput. Inf. Sci. Eng. Jun 2018, 18(2): 021007 (14 pages)
Published Online: March 16, 2018
Article history
Received:
March 15, 2017
Revised:
February 20, 2018
Citation
Chaitanya Chaduvula, S., Atallah, M. J., and Panchal, J. H. (March 16, 2018). "Secure Codesign: Achieving Optimality Without Revealing." ASME. J. Comput. Inf. Sci. Eng. June 2018; 18(2): 021007. https://doi.org/10.1115/1.4039431
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