Demo Data from VLDB 2026 / reviewers in the wild / expert
Chanjong Lee
dblp:344/1639
· DBLP profile ↗
2ranked-venue papers
1as first author
2since 2021 · last 2025
0009-0006-8651-8899ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Security and privacy · 1 · 1 first-author · 1 since 2021Software 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
1 paper |
Digital forensics and information hiding · 77% Blockchain and cryptocurrency security · 23% |
Topics — the 2 heaviest of 2, 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
smart contract security |
0.2 | 1 | 2023 | Smartmark: Software Watermarking Scheme for Smart Contracts · ICSE 2023 |
Methods — techniques the papers use, named apart from their topics
control flow graph analysis · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | The silence of the phishers: Early-stage voice phishing detection with runtime permission requests
Chanjong Lee, Bedeuro Kim, Hyoungshick Kim |
Comput. Secur. | 1 |
| 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 | 3 |