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Boseok Park

dblp:243/0155 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2019
—ORCID · unresolved

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

Computer networks · 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
1 paper
Network security · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Network security › intrusion detection and prevention
intrusion detection
0.412019
Intrusion Detection on IoT Services using Event Sampling and Correlation · MobiSys 2019
Network security › intrusion detection and prevention › intrusion detection › network intrusion detection
iot intrusion detection
0.412019
Intrusion Detection on IoT Services using Event Sampling and Correlation · MobiSys 2019

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

graph modeling · 0.4event correlation algorithm · 0.4
YearPublicationVenuePosition
2019 Intrusion Detection on IoT Services using Event Sampling and Correlation
abstract
The IoT services have different types of security frameworks. As a result, it is difficult for security manager or attack response systems to understand the alerts and take appropriate actions. In this paper, we describes the analysis of security methods in the area of IoT and describes a mechanism that analyzes logs generated by IoT devices attacks. We models an event network based on a graph of interconnected logs between network devices and IoT gateways. Moreover, suggests an algorithm that correlate logs into single meaningful messages.
Boseok Park
MobiSys1