TY - JOUR
T1 - Practical Verifiable Computation by Using a Hardware-Based Correct Execution Environment
AU - Lee, Junghee
AU - Nicopoulos, Chrysostomos
AU - Jeong, Gweonho
AU - Kim, Jihye
AU - Oh, Hyunok
N1 - Funding Information:
This work was supported by a Korea University Grant and Institute of Information & Communications Technology Planning & Evaluation (IITP) grant funded by the Ministry of Science and ICT Korea (2017-0-00661).
Publisher Copyright:
© 2013 IEEE.
PY - 2020
Y1 - 2020
N2 - The verifiable computation paradigm has been studied extensively as a means to verifying the result of outsourced computation. In said scheme, the verifier requests computation from the prover and verifies the result by checking the output and proof received from the prover. Although they have great potential for various critical applications, verifiable computations have not been widely used in practice, because of their significant performance overhead. Existing cryptography-based approaches incur significant overhead, because a cryptography-based mathematical frame needs to be constructed, which prevents deviation from the correct computation. The proposed approach is to reduce the overhead by trusting the computing hardware platform where the computation is outsourced. If one trusts the hardware to do the computation, the hardware can take the place of the cryptographic computing frame, thereby guaranteeing correct computation. The key challenge of this approach is to define what exactly the hardware should guarantee for verifiable computation. For this, we introduce the concept of Correct Execution Environment (CEE), which guarantees instruction correctness and state preservation. We prove that these two requirements are satisfactory conditions for a correct output. By employing a CEE, the verifiable computation scheme can be simplified, and its overhead can be reduced drastically. The presented experimental results demonstrate that the execution time is approximately 1.7 million times faster and the verification time over 50 times faster than a state-of-the-art cryptographic approach.
AB - The verifiable computation paradigm has been studied extensively as a means to verifying the result of outsourced computation. In said scheme, the verifier requests computation from the prover and verifies the result by checking the output and proof received from the prover. Although they have great potential for various critical applications, verifiable computations have not been widely used in practice, because of their significant performance overhead. Existing cryptography-based approaches incur significant overhead, because a cryptography-based mathematical frame needs to be constructed, which prevents deviation from the correct computation. The proposed approach is to reduce the overhead by trusting the computing hardware platform where the computation is outsourced. If one trusts the hardware to do the computation, the hardware can take the place of the cryptographic computing frame, thereby guaranteeing correct computation. The key challenge of this approach is to define what exactly the hardware should guarantee for verifiable computation. For this, we introduce the concept of Correct Execution Environment (CEE), which guarantees instruction correctness and state preservation. We prove that these two requirements are satisfactory conditions for a correct output. By employing a CEE, the verifiable computation scheme can be simplified, and its overhead can be reduced drastically. The presented experimental results demonstrate that the execution time is approximately 1.7 million times faster and the verification time over 50 times faster than a state-of-the-art cryptographic approach.
KW - Verifiable computation
KW - computer architecture
KW - cryptography
KW - trusted hardware
UR - http://www.scopus.com/inward/record.url?scp=85097406386&partnerID=8YFLogxK
U2 - 10.1109/ACCESS.2020.3041308
DO - 10.1109/ACCESS.2020.3041308
M3 - Article
AN - SCOPUS:85097406386
SN - 2169-3536
VL - 8
SP - 216689
EP - 216706
JO - IEEE Access
JF - IEEE Access
M1 - 9273052
ER -