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Xiapu Luo

Researcher at Hong Kong Polytechnic University

Publications -  329
Citations -  9190

Xiapu Luo is an academic researcher from Hong Kong Polytechnic University. The author has contributed to research in topics: Computer science & Android (operating system). The author has an hindex of 41, co-authored 257 publications receiving 6150 citations. Previous affiliations of Xiapu Luo include Nanjing University of Information Science and Technology & Georgia Institute of Technology.

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Journal ArticleDOI

A survey on the security of blockchain systems

TL;DR: Wang et al. as discussed by the authors conduct a systematic study on the security threats to blockchain and survey the corresponding real attacks by examining popular blockchain systems. And they also review the security enhancement solutions for blockchain, which could be used in the development of various blockchain systems, and suggest some future directions to stir research efforts into this area.
Proceedings ArticleDOI

QDASH: a QoE-aware DASH system

TL;DR: A QoE-aware DASH system (or QDASH) to improve the user-perceived quality of video watching is proposed and available bandwidth measurement into the video data probes with a measurement proxy architecture facilitates the selection of video quality levels.
Posted Content

A Survey on the Security of Blockchain Systems

TL;DR: A systematic study on the security threats to blockchain is conducted and the corresponding real attacks by examining popular blockchain systems are surveyed.
Proceedings ArticleDOI

Under-optimized smart contracts devour your money

TL;DR: This work conducts the first investigation on Solidity, the recommended compiler, and reveals that it fails to optimize gas- costly programming patterns, and proposes and develops GASPER, a new tool for automatically locating gas-costly patterns by analyzing smart contracts' bytecodes.
Proceedings ArticleDOI

Understanding Ethereum via Graph Analysis

TL;DR: This paper designs a new approach to collect all transaction data, constructs three graphs from the data to characterize major activities on Ethereum, and proposes new approaches based on cross-graph analysis to address two security issues in Ethereum.