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Attack Tree Based Android Malware Detection with Hybrid Analysis

contributor authorShuai Zhao
contributor authorXiaohong Li
contributor authorGuangquan Xu
contributor authorLei Zhang
contributor authorZhiyong Feng
date accessioned2020-03-12T22:28:12Z
date available2020-03-12T22:28:12Z
date issued2014
identifier other7011273.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1084100?locale-attribute=en&show=full
formatgeneral
languageEnglish
publisherIEEE
titleAttack Tree Based Android Malware Detection with Hybrid Analysis
typeConference Paper
contenttypeMetadata Only
identifier padid8221348
subject keywordsfeedforward neural nets
subject keywordsn generalisation (artificial intelligence)
subject keywordsn learning (artificial intelligence)
subject keywordsn particle swarm optimisation
subject keywordsn AG-ELM
subject keywordsn PSO
subject keywordsn classification application
subject keywordsn generalization performance
subject keywordsn generalized single-hidden-layer feedforward networks
subject keywordsn hidden nodes adaptive growth
subject keywordsn improved extreme learning machine
subject keywordsn network architecture
subject keywordsn network parameters
subject keywordsn particle swarm optimization
subject keywordsn regression application
subject keywordsn Accuracy
subject keywordsn Educational
identifier doi10.1109/IJCNN.2014.6889712
journal titlerust, Security and Privacy in Computing and Communications (TrustCom), 2014 IEEE 13th International
filesize252414
citations1


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