scholarly journals MPC-CSAS: Multi-Party Computation for Real-Time Privacy-Preserving Speed Advisory Systems

Author(s):  
Mingming Liu ◽  
Long Cheng ◽  
Yingqi Gu ◽  
Ying Wang ◽  
Qingzhi Liu ◽  
...  
Author(s):  
Jiahui Hou ◽  
Huiqi Liu ◽  
Yunxin Liu ◽  
Yu Wang ◽  
Peng-Jun Wan ◽  
...  
Keyword(s):  

2019 ◽  
Vol 2019 ◽  
pp. 1-28 ◽  
Author(s):  
Joseph I. Choi ◽  
Kevin R. B. Butler

When two or more parties need to compute a common result while safeguarding their sensitive inputs, they use secure multiparty computation (SMC) techniques such as garbled circuits. The traditional enabler of SMC is cryptography, but the significant number of cryptographic operations required results in these techniques being impractical for most real-time, online computations. Trusted execution environments (TEEs) provide hardware-enforced isolation of code and data in use, making them promising candidates for making SMC more tractable. This paper revisits the history of improvements to SMC over the years and considers the possibility of coupling trusted hardware with SMC. This paper also addresses three open challenges: (1) defeating malicious adversaries, (2) mobile-friendly TEE-supported SMC, and (3) a more general coupling of trusted hardware and privacy-preserving computation.


2011 ◽  
Author(s):  
Torben Kuseler ◽  
Hisham Al-Assam ◽  
Sabah Jassim ◽  
Ihsan A. Lami
Keyword(s):  

2022 ◽  
pp. 47-54
Author(s):  
T. N. Gayathri ◽  
M. Rajasekharababu

IoT has influenced our daily lives through various applications. The high possibility of sensing and publishing sensitive data in the smart environment leads to significant issues: (1) privacy-preserving and (2) real-time services. Privacy is a complex and a subjective notion as its understanding and perception differ among individuals, hence the observation that current studies lack addressing these challenges. This chapter proposes a new privacy-preserving method for IoT devices in the smart city by leveraging ontology, a data model, at the edge of the network. Based on the simulation results using Protege and Visual Studio on a synthetic dataset, the authors find that the solution provides privacy at real-time while addressing heterogeneity issue so that many IoT devices can afford it. Thus, the proposed solution can be widely used for smart cities.


Sign in / Sign up

Export Citation Format

Share Document