FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W1683501046> ?p ?o ?g. }

• W1683501046 endingPage "1212" @default.
• W1683501046 startingPage "1193" @default.
• W1683501046 abstract "Abstract In this paper, we propose an intrusion detection system (IDS) based on four approaches: (i) statistical‐based IDS to reduce detection time; (ii) intertwining data acquisition phase and data preprocessing phase to ensure real‐time detection; (iii) geometric linear similarity measure that improves detection accuracy compared with existing measures; and (iv) multivariate correlation analysis that extracts a subset of strongly correlated features to construct a normal behavioral graph. Based on this graph, we derive the normal profile composed of high‐level features. We use NSL‐KDD dataset to analyze and evaluate the efficiency of the proposed IDS at detecting denial‐of‐service (DOS) attacks. Experimental results show that the proposed IDS can achieve good results in terms of detection rate and false positive rate. For some DOS attacks, 100 % detection rate is achieved with 1.55 % false positive. We also use KDD99 dataset to compare the proposed IDS with two statistical‐based methods and some data mining and machine learning‐based methods. Comparison study shows that the proposed IDS achieves the best tradeoff between detection rate (99.76 % ) and false positive rate (0.6 % ). It also requires just a few microseconds to classify the connection as normal or attack with low CPU usage and low memory consumption. Copyright © 2014 John Wiley & Sons, Ltd." @default.
• W1683501046 created "2016-06-24" @default.
• W1683501046 creator A5061366468 @default.
• W1683501046 creator A5081909889 @default.
• W1683501046 date "2014-07-08" @default.
• W1683501046 modified "2023-10-06" @default.
• W1683501046 title "Multivariate correlation analysis and geometric linear similarity for real-time intrusion detection systems" @default.
• W1683501046 cites W1491241688 @default.
• W1683501046 cites W1495781155 @default.
• W1683501046 cites W1516812305 @default.
• W1683501046 cites W1548599989 @default.
• W1683501046 cites W155571662 @default.
• W1683501046 cites W1581903467 @default.
• W1683501046 cites W1588623015 @default.
• W1683501046 cites W1591480890 @default.
• W1683501046 cites W1603652346 @default.
• W1683501046 cites W1649901946 @default.
• W1683501046 cites W1941427975 @default.
• W1683501046 cites W1965334909 @default.
• W1683501046 cites W1967376128 @default.
• W1683501046 cites W1975191191 @default.
• W1683501046 cites W1977838479 @default.
• W1683501046 cites W1984438447 @default.
• W1683501046 cites W1988918299 @default.
• W1683501046 cites W1989101984 @default.
• W1683501046 cites W1993913559 @default.
• W1683501046 cites W2002181184 @default.
• W1683501046 cites W2006862475 @default.
• W1683501046 cites W2010267174 @default.
• W1683501046 cites W2012986478 @default.
• W1683501046 cites W2013504000 @default.
• W1683501046 cites W2025183498 @default.
• W1683501046 cites W2033569712 @default.
• W1683501046 cites W2044861295 @default.
• W1683501046 cites W2046304221 @default.
• W1683501046 cites W2060102738 @default.
• W1683501046 cites W2060238576 @default.
• W1683501046 cites W2073630583 @default.
• W1683501046 cites W2075964268 @default.
• W1683501046 cites W2077137143 @default.
• W1683501046 cites W2082600559 @default.
• W1683501046 cites W2093488494 @default.
• W1683501046 cites W2099940443 @default.
• W1683501046 cites W2107164534 @default.
• W1683501046 cites W2111734949 @default.
• W1683501046 cites W2119981830 @default.
• W1683501046 cites W2122646361 @default.
• W1683501046 cites W2132323358 @default.
• W1683501046 cites W2134145060 @default.
• W1683501046 cites W2137017672 @default.
• W1683501046 cites W2139325411 @default.
• W1683501046 cites W2142889610 @default.
• W1683501046 cites W2150847526 @default.
• W1683501046 cites W2154358621 @default.
• W1683501046 cites W2163967648 @default.
• W1683501046 cites W2169768310 @default.
• W1683501046 cites W2728509750 @default.
• W1683501046 cites W3023796995 @default.
• W1683501046 cites W4244238212 @default.
• W1683501046 cites W4250545072 @default.
• W1683501046 cites W4300958603 @default.
• W1683501046 cites W4379202830 @default.
• W1683501046 doi "https://doi.org/10.1002/sec.1074" @default.
• W1683501046 hasPublicationYear "2014" @default.
• W1683501046 type Work @default.
• W1683501046 sameAs 1683501046 @default.
• W1683501046 citedByCount "9" @default.
• W1683501046 countsByYear W16835010462015 @default.
• W1683501046 countsByYear W16835010462016 @default.
• W1683501046 countsByYear W16835010462017 @default.
• W1683501046 countsByYear W16835010462018 @default.
• W1683501046 countsByYear W16835010462019 @default.
• W1683501046 countsByYear W16835010462020 @default.
• W1683501046 crossrefType "journal-article" @default.
• W1683501046 hasAuthorship W1683501046A5061366468 @default.
• W1683501046 hasAuthorship W1683501046A5081909889 @default.
• W1683501046 hasBestOaLocation W16835010461 @default.
• W1683501046 hasConcept C103278499 @default.
• W1683501046 hasConcept C110875604 @default.
• W1683501046 hasConcept C115961682 @default.
• W1683501046 hasConcept C117220453 @default.
• W1683501046 hasConcept C124101348 @default.
• W1683501046 hasConcept C136764020 @default.
• W1683501046 hasConcept C153180895 @default.
• W1683501046 hasConcept C154945302 @default.
• W1683501046 hasConcept C2524010 @default.
• W1683501046 hasConcept C33923547 @default.
• W1683501046 hasConcept C34736171 @default.
• W1683501046 hasConcept C35525427 @default.
• W1683501046 hasConcept C38822068 @default.
• W1683501046 hasConcept C41008148 @default.
• W1683501046 hasConcept C77052588 @default.
• W1683501046 hasConcept C95922358 @default.
• W1683501046 hasConceptScore W1683501046C103278499 @default.
• W1683501046 hasConceptScore W1683501046C110875604 @default.
• W1683501046 hasConceptScore W1683501046C115961682 @default.
• W1683501046 hasConceptScore W1683501046C117220453 @default.
• W1683501046 hasConceptScore W1683501046C124101348 @default.

• next