Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Moon-Young Jung

dblp:96/97 · DBLP profile ↗
← Back
2ranked-venue papers
0as first author
0since 2021 · last 2011
—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.

Network and information security
1 paper
Network security · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Network security › intrusion detection and prevention
intrusion detection
0.112008
L+1-MWM: A Fast Pattern Matching Algorithm for High-Speed Packet Filtering · INFOCOM 2008
Network security › intrusion detection and prevention › intrusion detection › pattern matching
multi-pattern matching
0.112008
L+1-MWM: A Fast Pattern Matching Algorithm for High-Speed Packet Filtering · INFOCOM 2008
Network security › firewall
packet filtering
0.112008
L+1-MWM: A Fast Pattern Matching Algorithm for High-Speed Packet Filtering · INFOCOM 2008
Network security › intrusion detection and prevention › intrusion detection
pattern matching
0.112008
L+1-MWM: A Fast Pattern Matching Algorithm for High-Speed Packet Filtering · INFOCOM 2008

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

wu-manber algorithm · 0.1
YearPublicationVenuePosition
2011 A fast pattern matching algorithm with multi-byte search unit for high-speed network security
Yoon-Ho Choi, Moon-Young Jung, Seung-Woo Seo
Comput. Commun.2
2008 L+1-MWM: A Fast Pattern Matching Algorithm for High-Speed Packet Filtering
abstract
A signature-based network intrusion detection system (NIDS) identifies intrusions by comparing the data traffic with known signature patterns. In this process, matching of packet strings against signature patterns dominates the overall system performance. The MWM algorithm has been known as the fastest pattern matching algorithm when the patterns in a rule set rarely appear in packets. However, the matching time does not decrease if the length of the shortest pattern in a signature group is too short. In this paper, by extending the length of the shortest pattern, we minimize the pattern matching time of the algorithm which uses multi-byte unit. For example, when the length of the shortest pattern is less than 5, the proposed algorithm shows 38.87% enhancement in average.
Yoon-Ho Choi, Moon-Young Jung, Seung-Woo Seo
INFOCOM2