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Record W2885025456 · doi:10.1145/3229616.3229622

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2018· article· en· W2885025456 on OpenAlexaff
Taejune Park, Zhaoyan Xu, Seungwon Shin

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicSoftware-Defined Networks and 5G
Canadian institutionsKootenay Association for Science & Technology
FundersInstitute for Information and Communications Technology PromotionMinistry of Science and ICT, South Korea
KeywordsOpenFlowForwarding planeComputer scienceSoftware-defined networkingNetwork packetPayload (computing)Computer networkPacket processingDeep packet inspectionNetworking hardwareEmbedded system

Abstract

fetched live from OpenAlex

Software-defined networking (SDN) and Network Function Virtualization (NFV) have inspired security researchers to devise new security applications for these new network technology. However, since SDN and NFV are basically faithful to operating a network, they only focus on providing features related to network control. Therefore, it is challenging to implement complex security functions such as packet payload inspection. Several studies have addressed this challenge through an SDN data plane extension, but there were problems with performance and control interfaces. In this paper, we introduce a new data plane architecture, HEX which leverages existing data plane architectures for SDN to enable network security applications in an SDN environment efficiently and effectively. HEX provides security services as a set of OpenFlow actions ensuring high performance and a function of handling multiple SDN actions with a simple control command. We implemented a DoS detector and Deep Packet Inspection (DPI) as the prototype features of HEX using the NetFPGA-1G-CML, and our evaluation results demonstrate that HEX can provide security services as a line-rate performance.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.909
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.010
GPT teacher head0.228
Teacher spread0.218 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreMethods

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2018
Admission routes1
Has abstractyes

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