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Diheng Qu

dblp:239/7594 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1998
—ORCID · none

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 · 87% Systems and software security · 13%
Computer networks
1 paper
Routing and switching · 100%

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

TopicWeightPapersLastEvidence papers
Routing and switching › routing protocol
link-state routing
0.011998
Statistical Anomaly Detection for Link-State Routing Protocols · ICNP 1998
Network security › intrusion detection and prevention
intrusion detection
0.011998
Statistical Anomaly Detection for Link-State Routing Protocols · ICNP 1998
Network security › intrusion detection and prevention › intrusion detection › anomaly detection
statistical anomaly detection
0.011998
Statistical Anomaly Detection for Link-State Routing Protocols · ICNP 1998
Systems and software security › insider threat › insider threat detection
insider attack detection
0.011998
Statistical Anomaly Detection for Link-State Routing Protocols · ICNP 1998

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

statistical intrusion detection · 0.0NIDES/STAT · 0.0
YearPublicationVenuePosition
1998 Statistical Anomaly Detection for Link-State Routing Protocols
abstract
The JiNao project at MCNC/NCSU focuses on detecting intrusions, especially insider attacks, against the OSPF (open shortest path first) routing protocol. This paper presents the implementation and experiments of JiNao's statistical intrusion detection module. Our implementation is based upon the algorithm developed in SRI's NIDES (next-generation intrusion detection expert system) project. Some modifications and improvements to NIDES/STAT are made for a more effective implementation in our environment. Also, three OSPF insider attacks (e.g., maxseq, maxage, and seq++ attacks) have been developed for evaluating the efficacy of detecting capability. The experiments were conducted on two different network routing testbeds. The results indicate that the proposed statistical mechanism is very effective in detecting these routing protocol attacks.
Diheng Qu, Brian Vetter, Feiyi Wang, Ravindar Narayan, Shyhtsun Felix Wu, Y. Frank Jou, Fengmin Gong, Chandramouli Sargor
ICNP1