Using Artificial Anomalies to Detect Unknown and Known Network Intrusions

Knowledge and Information Systems - United Kingdom
doi 10.1007/s10115-003-0132-7
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Springer Science and Business Media LLC

Related search

Detecting Known and Novel Network Intrusions

English

Using Known QTLs to Detect Directional Epistatic Interactions

Genetical Research
MedicineGenetics
2012English

Discriminant Approach to Detect Anomalies Using Markov Sequences

Monitoring systems of environment
2019English

A Neural Network Approach to Detect Traffic Anomalies in a Communication Network.

English

Known and Unknown Risks

Journal of Pharmacy Practice and Research
PharmacologyPharmacy
2018English

Application of Local Outlier Factor Algorithm to Detect Anomalies in Computer Network

Elektronika ir Elektrotechnika
Electronic EngineeringElectrical
2018English

Detecting Novel Network Intrusions Using Bayes Estimators

2001English

Known Knowns… Known Unknowns… and Unknown Unknowns: Processing the Research Journey

NeuroQuantology
Developmental NeuroscienceCognitive NeuroscienceOpticsAtomicMolecular Physics,
2011English

Sepsis-Related Stress Response: Known Knowns, Known Unknowns, and Unknown Unknowns

Critical Care
Critical CareIntensive Care Medicine
2010English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2026 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy