EDBT 2026 Demo / reviewers in the wild / expert
Daeyang Cho
dblp:230/6818
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2020
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 2
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.
| Computer networks
1 paper |
Edge and fog computing · 87% Content delivery and video streaming · 13% | |
| Network and information security
1 paper |
Hardware security and side channels · 62% Network security · 38% |
Topics — the 6 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Hardware security and side channels
trusted execution environments |
0.4 | 1 | 2020 | A Secure Middlebox Framework for Enabling Visibility Over Multiple Encryption Protocols · IEEE/ACM Trans. Netw. 2020 |
Edge and fog computing
mobile application acceleration |
0.3 | 1 | 2018 | APPx: an automated app acceleration framework for low latency mobile app · CoNEXT 2018 |
Edge and fog computing
mobile edge computing |
0.3 | 1 | 2018 | APPx: an automated app acceleration framework for low latency mobile app · CoNEXT 2018 |
Network security › intrusion detection and prevention › intrusion detection
deep packet inspection |
0.1 | 1 | 2020 | A Secure Middlebox Framework for Enabling Visibility Over Multiple Encryption Protocols · IEEE/ACM Trans. Netw. 2020 |
Network security › intrusion detection and prevention › intrusion detection › deep packet inspection
encrypted traffic inspection |
0.1 | 1 | 2020 | A Secure Middlebox Framework for Enabling Visibility Over Multiple Encryption Protocols · IEEE/ACM Trans. Netw. 2020 |
Content delivery and video streaming › web content delivery
web acceleration |
0.1 | 1 | 2018 | APPx: an automated app acceleration framework for low latency mobile app · CoNEXT 2018 |
Methods — techniques the papers use, named apart from their topics
trusted execution · 0.4rust programming · 0.4app binary analysis · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | A Secure Middlebox Framework for Enabling Visibility Over Multiple Encryption ProtocolsabstractNetwork middleboxes provide the first line of defense for enterprise networks. Many of them typically inspect packet payload to filter malicious attack patterns. However, the widespread use of end-to-end cryptographic protocols designed to promote security and privacy, either inhibits deep packet inspection in the network or forces enterprises to use solutions that are not secure. This article introduces a complete framework for building secure and practical network middleboxes, called EVE, which enables visibility over encrypted traffic. EVE securely processes encrypted traffic using a combination of hardware-based trusted execution and software security technology. For enhanced programmability and security, EVE provides a high-level programming interface based on the Rust language. The high-level APIs of EVE provide security and significantly ease the development effort by hiding the details of cryptographic operations, enclave processing, TCP reassembly, and out-of-band key sharing. Our evaluation shows EVE supports diverse use cases with multiple encryption protocols in a secure fashion while delivering high performance. Juhyeng Han, Seong-Min Kim, Daeyang Cho, Byungkwon Choi, Jaehyeong Ha, Dongsu Han |
IEEE/ACM Trans. Netw. | 3 |
| 2018 | APPx: an automated app acceleration framework for low latency mobile appabstractMinimizing response time of mobile applications is critical for user experience. Existing work predominantly focuses on reducing mobile Web latency, whereas users spend more time on native mobile apps than mobile Web. Similar to Web, mobile apps contain a chain of dependencies between successive requests. However, unlike Web acceleration where object dependencies can easily be identified by parsing Web documents, App acceleration is much more difficult because the dependency is encoded in the app binary. Byungkwon Choi, Daeyang Cho, Seong-Min Kim, Dongsu Han |
CoNEXT | 3 |