Demo Data from EDBT 2026 / reviewers in the wild / expert
Junhong Kim
dblp:185/1638
· DBLP profile ↗
3ranked-venue papers
1as first author
0since 2021 · last 2020
—ORCID · conflict
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-authorSecurity and privacy · 1Human-computer interaction and ubiquitous computing · 1
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.
| Human-computer interaction and pervasive computing
1 paper |
Health and well-being technologies · 44% Wearable and physiological sensing · 44% Ubiquitous computing and smart environments · 13% | |
| Network and information security
1 paper |
Malware analysis · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Interconnection networks and networks-on-chip · 100% |
Topics — the 2 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Malware analysis
rootkit |
0.2 | 1 | 2016 | PIkit: A New Kernel-Independent Processor-Interconnect Rootkit · USENIX Security Symposium 2016 |
Interconnection networks and networks-on-chip
multiprocessor interconnection |
0.1 | 1 | 2016 | PIkit: A New Kernel-Independent Processor-Interconnect Rootkit · USENIX Security Symposium 2016 |
Methods — techniques the papers use, named apart from their topics
kernel-independent rootkit · 0.5three-phase study · 0.3prototype evaluation · 0.3interviews · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | Freely typed keystroke dynamics-based user authentication for mobile devices based on heterogeneous features
Junhong Kim, Pilsung Kang 0001 |
Pattern Recognit. | 1 |
| 2017 | Itchtector: A Wearable-based Mobile System for Managing Itching ConditionsabstractSevere itching conditions such as eczema or atopic dermatitis can have a significant impact on one's quality of life. Unfortunately, many of these conditions cannot be cured, and the focus is often on properly controlling or managing the condition. Thus, it is important to understand or objectively monitor how one's scratching behavior changes, based on medication or treatment or environmental conditions. In this work, we explore how wearable devices can support people with itching conditions to better manage their conditions. We carried out a three-phase study with 40 participants and 2 dermatologists to understand the implications of various system features and designs. Based on interviews with patients and doctors, we incorporated medical guidelines for treatment and patients' needs in the proposed Itchtector - a smartwatch-based mobile system to monitor itching behaviors and provide objective information about the user's scratching behaviors. Using the Itchtector prototype, we evaluated performance and possible acceptance with subjects. Jongin Lee, Dae-ki Cho, Junhong Kim, Eunji Im, JinYeong Bak, Kyung ho Lee, KwanHong Lee, John Kim 0001 |
CHI | 3 |
| 2016 | PIkit: A New Kernel-Independent Processor-Interconnect Rootkit
Wonjun Song, Hyunwoo Choi, Junhong Kim, Eunsoo Kim, Yongdae Kim, John Kim 0001 |
USENIX Security Symposium | 3 |