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Jangseop Shin

dblp:187/8338 · DBLP profile ↗
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6ranked-venue papers
3as first author
1since 2021 · last 2023
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Security and privacy · 3 · 1 first-authorSystems, architecture and hardware · 2 · 1 first-author · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author

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
2 papers
Systems and software security · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Embedded and real-time systems · 77% Processor architecture and microarchitecture · 23%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Systems and software security › memory protection
execute-only memory
0.412019
uXOM: Efficient eXecute-Only Memory on ARM Cortex-M · USENIX Security Symposium 2019
Systems and software security
memory protection
0.412019
uXOM: Efficient eXecute-Only Memory on ARM Cortex-M · USENIX Security Symposium 2019
Systems and software security
memory safety
0.412019
CRCount: Pointer Invalidation with Reference Counting to Mitigate Use-after-free in Legacy C/C++ · NDSS 2019
Systems and software security › memory safety › memory corruption defense
use-after-free prevention
0.412019
CRCount: Pointer Invalidation with Reference Counting to Mitigate Use-after-free in Legacy C/C++ · NDSS 2019
Embedded and real-time systems › embedded system security
microcontroller security
0.412019
uXOM: Efficient eXecute-Only Memory on ARM Cortex-M · USENIX Security Symposium 2019
Processor architecture and microarchitecture › microprocessor
ARM Cortex-M
0.112019
uXOM: Efficient eXecute-Only Memory on ARM Cortex-M · USENIX Security Symposium 2019

Methods — techniques the papers use, named apart from their topics

reference counting · 0.4
YearPublicationVenuePosition
2023 Exploring effective uses of the tagged memory for reducing bounds checking overheads
Inyoung Bang, Yungi Cho, Jangseop Shin, Dongil Hwang, Donghyun Kwon, Yeongpil Cho, Yunheung Paek
J. Supercomput.4
2019 CRCount: Pointer Invalidation with Reference Counting to Mitigate Use-after-free in Legacy C/C++
Jangseop Shin, Donghyun Kwon, Yeongpil Cho, Yunheung Paek
NDSS1
2019 uXOM: Efficient eXecute-Only Memory on ARM Cortex-M
Donghyun Kwon, Jangseop Shin, Giyeol Kim, Byoungyoung Lee, Yeongpil Cho, Yunheung Paek
USENIX Security Symposium2
2018 Hardware Assisted Randomization of Data
Brian Belleville, Hyungon Moon, Jangseop Shin, Dongil Hwang, Joseph Nash, Seonhwa Jung, Yeoul Na, Stijn Volckaert, Per Larsen, Yunheung Paek, Michael Franz
RAID3
2018 Developing a custom DSP for vision based human computer interaction applications
Jangseop Shin, MoonKwon Kim, Yunheung Paek, Kwangman Ko
Multim. Tools Appl.1
2016 A hardware-based technique for efficient implicit information flow tracking
abstract
To access sensitive information, some recent advanced attacks have been successful in exploiting implicit flows in a program in which sensitive data affects the control path and in turn affects other data. To track the sensitive data through implicit flows, several software and hardware based approaches have been proposed, but they suffer from the non-negligible performance overhead. In this paper, we propose a hardware tracking engine for implicit flow, called the implicit flow tracking unit (IFTU). By adopting the tracking scheme for implicit flow and mapping it to the specialized hardware, our solution can efficiently perform the implicit flow tracking with reasonable area costs.
Jangseop Shin, Hongce Zhang, Jinyong Lee, Ingoo Heo, Yu-Yuan Chen, Ruby B. Lee, Yunheung Paek
ICCAD1