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Junhong Kim

dblp:185/1638 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Malware analysis
rootkit
0.212016
PIkit: A New Kernel-Independent Processor-Interconnect Rootkit · USENIX Security Symposium 2016
Interconnection networks and networks-on-chip
multiprocessor interconnection
0.112016
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
YearPublicationVenuePosition
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 Conditions
abstract
Severe 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
CHI3
2016 PIkit: A New Kernel-Independent Processor-Interconnect Rootkit
Wonjun Song, Hyunwoo Choi, Junhong Kim, Eunsoo Kim, Yongdae Kim, John Kim 0001
USENIX Security Symposium3