Demo Data from VLDB 2026 / reviewers in the wild / expert
Yunhee Jang
dblp:243/0046
· DBLP profile ↗
3ranked-venue papers
0as first author
1since 2021 · last 2023
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1Security and privacy · 1Software engineering, systems software and programming languages · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Network and information security
3 papers |
Blockchain and cryptocurrency security · 76% Digital forensics and information hiding · 24% | |
| Computer architecture, parallel and distributed computing, and storage systems
2 papers |
Distributed systems · 100% |
Topics — the 9 heaviest of 9, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Digital forensics and information hiding › watermarking
software watermarking |
0.7 | 1 | 2023 | Smartmark: Software Watermarking Scheme for Smart Contracts · ICSE 2023 |
Blockchain and cryptocurrency security › blockchain network
block propagation |
0.4 | 1 | 2019 | 80% of Block Propagation Rate is Enough - Towards Secure and Efficient PoW-based Blockchain Consensus · MobiSys 2019 |
Blockchain and cryptocurrency security
consensus protocol |
0.4 | 1 | 2019 | Poster: A Proof-of-Stake (PoS) Blockchain Protocol using Fair and Dynamic Sharding Management · CCS 2019 |
Blockchain and cryptocurrency security › consensus protocol
proof-of-stake |
0.4 | 1 | 2019 | Poster: A Proof-of-Stake (PoS) Blockchain Protocol using Fair and Dynamic Sharding Management · CCS 2019 |
Blockchain and cryptocurrency security › consensus protocol
proof-of-work |
0.4 | 1 | 2019 | 80% of Block Propagation Rate is Enough - Towards Secure and Efficient PoW-based Blockchain Consensus · MobiSys 2019 |
Blockchain and cryptocurrency security › blockchain scalability
sharding |
0.4 | 1 | 2019 | Poster: A Proof-of-Stake (PoS) Blockchain Protocol using Fair and Dynamic Sharding Management · CCS 2019 |
Distributed systems
consensus |
0.2 | 2 | 2019 | 80% of Block Propagation Rate is Enough - Towards Secure and Efficient PoW-based Blockchain Consensus · MobiSys 2019 Poster: A Proof-of-Stake (PoS) Blockchain Protocol using Fair and Dynamic Sharding Management · CCS 2019 |
Blockchain and cryptocurrency security
smart contract security |
0.2 | 1 | 2023 | Smartmark: Software Watermarking Scheme for Smart Contracts · ICSE 2023 |
Distributed systems
fault tolerance |
0.1 | 1 | 2019 | Poster: A Proof-of-Stake (PoS) Blockchain Protocol using Fair and Dynamic Sharding Management · CCS 2019 |
Methods — techniques the papers use, named apart from their topics
proof-of-work · 0.8numerical analysis · 0.8control flow graph analysis · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Smartmark: Software Watermarking Scheme for Smart ContractsabstractA smart contract is a self-executing program on a blockchain to ensure an immutable and transparent agreement without the involvement of intermediaries. Despite its growing popularity for many blockchain platforms like Ethereum, no technical means is available even when a smart contract requires to be protected from being copied. One promising direction to claim a software ownership is software watermarking. However, applying existing software watermarking techniques is challenging because of the unique properties of a smart contract, such as a code size constraint, non-free execution cost, and no support for dynamic allocation under a virtual machine environment. This paper introduces a novel software watermarking scheme, dubbed Smartmark, aiming to protect the ownership of a smart contract against a pirate activity. Smartmark builds the control flow graph of a target contract runtime bytecode, and locates a collection of bytes that are randomly elected for representing a watermark. We implement a full-fledged prototype for Ethereum, applying Smartmark to 27,824 unique smart contract bytecodes. Our empirical results demonstrate that Smartmark can effectively embed a watermark into a smart contract and verify its presence, meeting the requirements of credibility and imperceptibility while incurring an acceptable performance degradation. Besides, our security analysis shows that Smartmark is resilient against viable watermarking corruption attacks; e.g., a large number of dummy opcodes are needed to disable a watermark effectively, resulting in producing an illegitimate smart contract clone that is not economical. Yunhee Jang, Chanjong Lee, Hyungjoon Koo, Hyoungshick Kim |
ICSE | 2 |
| 2019 | Poster: A Proof-of-Stake (PoS) Blockchain Protocol using Fair and Dynamic Sharding ManagementabstractSharding-based consensus protocols were introduced to enable the parallelization of the consensus work and storage for blockchain systems. However, existing sharding-based consensus algorithms are not sufficiently designed for distributing miners and transactions to shards in a fair and secure manner, which would make the blockchain systems vulnerable to several attacks. To overcome such limitations of the existing sharding-based consensus protocols, we present a new sharding-based Proof-of-Stake (PoS) blockchain protocol using fair and dynamic sharding management. To show the security of the proposed consensus protocol, we numerically analyze attack probabilities and found that the proposed protocol is secure when the number of shards is less than or equal to 6. Moreover, the proposed protocol is approximately 186 times more efficient than Ethereum with the real parameter settings obtained by the Ethereum network. Daehwa Rayer Lee, Yunhee Jang, Hyoungshick Kim |
CCS | 2 |
| 2019 | 80% of Block Propagation Rate is Enough - Towards Secure and Efficient PoW-based Blockchain ConsensusabstractRecently, Samsung released Galaxy S10 supporting the cryptowallet feature [5]. However, it is still questionable whether cryptocurrency can be popularly used for mobile payments because processing transactions in existing blockchain systems are too slow. For example, public blockchain systems such as Bitcoin [6] (7 transactions per second (TPS)) and Ethereum (15 TPS) are significantly slower than mainstream payment systems such as Visa (2,000 TPS) using a centralized database. Daehwa Rayer Lee, Yunhee Jang, Hanbin Jang, Hyoungshick Kim |
MobiSys | 2 |