Securing fog computing for internet of things applications: Challenges and solutions

J Ni, K Zhang, X Lin, X Shen - IEEE Communications Surveys & …, 2017 - ieeexplore.ieee.org
Internet of Things (IoT) allows billions of physical objects to be connected to collect and
exchange data for offering various applications, such as environmental monitoring …

The security of big data in fog-enabled IoT applications including blockchain: A survey

N Tariq, M Asim, F Al-Obeidat, M Zubair Farooqi… - Sensors, 2019 - mdpi.com
The proliferation of inter-connected devices in critical industries, such as healthcare and
power grid, is changing the perception of what constitutes critical infrastructure. The rising …

Hyperplonk: Plonk with linear-time prover and high-degree custom gates

B Chen, B Bünz, D Boneh, Z Zhang - … on the Theory and Applications of …, 2023 - Springer
Plonk is a widely used succinct non-interactive proof system that uses univariate polynomial
commitments. Plonk is quite flexible: it supports circuits with low-degree “custom” gates as …

A survey on IoT security: application areas, security threats, and solution architectures

V Hassija, V Chamola, V Saxena, D Jain, P Goyal… - IEEe …, 2019 - ieeexplore.ieee.org
The Internet of Things (IoT) is the next era of communication. Using the IoT, physical objects
can be empowered to create, receive, and exchange data in a seamless manner. Various …

Marlin: Preprocessing zkSNARKs with universal and updatable SRS

A Chiesa, Y Hu, M Maller, P Mishra, N Vesely… - Advances in Cryptology …, 2020 - Springer
We present a methodology to construct preprocessing zkSNARKs where the structured
reference string (SRS) is universal and updatable. This exploits a novel use of holography …

Sonic: Zero-knowledge SNARKs from linear-size universal and updatable structured reference strings

M Maller, S Bowe, M Kohlweiss… - Proceedings of the 2019 …, 2019 - dl.acm.org
Ever since their introduction, zero-knowledge proofs have become an important tool for
addressing privacy and scalability concerns in a variety of applications. In many systems …

Achieving privacy-preserving and verifiable support vector machine training in the cloud

C Hu, C Zhang, D Lei, T Wu, X Liu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the proliferation of machine learning, the cloud server has been employed to collect
massive data and train machine learning models. Several privacy-preserving machine …

Spartan: Efficient and general-purpose zkSNARKs without trusted setup

S Setty - Annual International Cryptology Conference, 2020 - Springer
This paper introduces Spartan, a new family of zero-knowledge succinct non-interactive
arguments of knowledge (zkSNARKs) for the rank-1 constraint satisfiability (R1CS), an NP …

Doubly-efficient zkSNARKs without trusted setup

RS Wahby, I Tzialla, A Shelat, J Thaler… - … IEEE Symposium on …, 2018 - ieeexplore.ieee.org
We present a zero-knowledge argument for NP with low communication complexity, low
concrete cost for both the prover and the verifier, and no trusted setup, based on standard …

Pianist: Scalable zkrollups via fully distributed zero-knowledge proofs

T Liu, T **e, J Zhang, D Song… - 2024 IEEE Symposium …, 2024 - ieeexplore.ieee.org
In the past decade, blockchains have seen various financial and technological innovations,
with cryptocurrencies reaching a market cap of over 1 trillion dollars. However, scalability is …