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Redundancy-based statistical analysis for insider attack detection in VANET aggregation schemes

contributor authorDietzel, S.
contributor authorGurtler, J.
contributor authorvan der Heijden, R.
contributor authorKargl, F.
date accessioned2020-03-12T22:31:40Z
date available2020-03-12T22:31:40Z
date issued2014
identifier other7013332.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1086000?show=full
formatgeneral
languageEnglish
publisherIEEE
titleRedundancy-based statistical analysis for insider attack detection in VANET aggregation schemes
typeConference Paper
contenttypeMetadata Only
identifier padid8223590
subject keywordseigenvalues and eigenfunctions
subject keywordsn matrix algebra
subject keywordsn military computing
subject keywordsn weapons
subject keywordsn Perron-Frobenius eigenvalue
subject keywordsn network adjacency matrix
subject keywordsn node number
subject keywordsn operation loop evaluation index
subject keywordsn operational effectiveness evaluation method
subject keywordsn operational efficiency evaluation method
subject keywordsn weapon system-of-systems combat network
subject keywordsn Educational institutions
subject keywordsn Eigenvalues and eigenfunctions
subject keywordsn Indexes
subject keywordsn Redundancy
subject keywordsn Sensors
subject keywordsn Weapons
subject keywordsn Evaluation
subject keywordsn Operation loo
identifier doi10.1109/SYSOSE .2014.6892491
journal titleehicular Networking Conference (VNC), 2014 IEEE
filesize153388
citations0


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