Fan Zhang

Town Crier

2016

Smart contracts are programs that execute autonomously on blockchains. Their key envisioned uses (e.g. financial instruments) require them to consume data from outside the blockchain (e.g. stock quotes). Trustworthy data feeds that support a broad …

In Thing Networking RFID System Node Communications Security Research

2017

The thing networking unceasing development and the application, while take to us to live convenient, also gave the informationsecurity to bring the challenge.Communications security question faces which in view of the networking architecture and the …

Solidus

2017

Blockchains and more general distributed ledgers are becoming increasingly popular as efficient, reliable, and persistent records of data and transactions. Unfortunately, they ensure reliability and correctness by making all data public, raising confidentiality concerns that …

Improved Differential Fault Analysis on LED with Constraint Equations: Towards Reaching Its Limit

2018

The block cipher LED is well suited for resource-constrained scenarios. However, it is vulnerable to the recent fault attacks and different results have been achieved even under the same fault model. In this paper, a …

A method of computing conceptual semantic similarity based on part-whole relationship

2020 · Journal of Physics Conference Series

Abstract Conceptual semantic similarity calculation is an important content in research fields such as natural language processing, machine translation and is widely used in information retrieval, knowledge acquisition, text classification, and clustering. It’s very important …

PStream: A Popularity-Aware Differentiated Distributed Stream Processing System

2020 · IEEE Transactions on Computers

Real-world stream data with skewed distributions raises unique challenges to distributed stream processing systems. Existing stream workload partitioning schemes usually use a “one size fits all” design, which leverages either a shuffle grouping or a …

Missing data reconstruction method based on Kmeans and GBDT combined model

2022 · International Conference on Electronic Information Technology (EIT 2022)

Complete and available data is of great significance for improving the theoretical line loss calculation in the low-voltage transformer area. However, with the upgrading of equipment, the electrical data presents the characteristics of small granularity …

Unsupervised Graph Outlier Detection: Problem Revisit, New Insight, and Superior Method

2022 · arXiv (Cornell University)

A large number of studies on Graph Outlier Detection (GOD) have emerged in recent years due to its wide applications, in which Unsupervised Node Outlier Detection (UNOD) on attributed networks is an important area. UNOD …

Fiddling the Twiddle Constants - Fault Injection Analysis of the Number Theoretic Transform

2023 · IACR Transactions on Cryptographic Hardware and Embedded Systems

In this work, we present the first fault injection analysis of the Number Theoretic Transform (NTT). The NTT is an integral computation unit, widely used for polynomial multiplication in several structured lattice-based key encapsulation mechanisms …

RAFA: Redundancies-assisted Algebraic Fault Analysis and its implementation on SPN block ciphers

2023 · IACR Transactions on Cryptographic Hardware and Embedded Systems

Algebraic Fault Analysis (AFA) is a cryptanalysis for block ciphers proposed by Courtois et al., which incorporates algebraic cryptanalysis to overcome the complexity of manual analysis within the context of Differential Fault Analysis (DFA). The …

Speech-driven Personalized Gesture Synthetics: Harnessing Automatic Fuzzy Feature Inference

2024 · arXiv (Cornell University)

Speech-driven gesture generation is an emerging field within virtual human creation. However, a significant challenge lies in accurately determining and processing the multitude of input features (such as acoustic, semantic, emotional, personality, and even subtle …

Anomaly Detection Algorithm for Urban Infrastructure Construction Equipment based on Multidimensional Time Series

2024 · Sustainability

Safety is the foundation of urban sustainable development. The urban construction and operation process involves a large amount of multidimensional time series data. By detecting anomalies in these multidimensional time subsequences (MTSs), decision support can …

Improving Faithfulness in Abstractive Summarization with Contrast Candidate Generation and Selection

2021

Despite significant progress in neural abstractive summarization, recent studies have shown that the current models are prone to generating summaries that are unfaithful to the original context. To address the issue, we study contrast candidate …