WO2014107439A3 - Methods and systems of using boosted decision stumps and joint feature selection and culling algorithms for the efficient classification of mobile device behaviors - Google Patents

Methods and systems of using boosted decision stumps and joint feature selection and culling algorithms for the efficient classification of mobile device behaviors Download PDF

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Publication number
WO2014107439A3
WO2014107439A3 PCT/US2013/078352 US2013078352W WO2014107439A3 WO 2014107439 A3 WO2014107439 A3 WO 2014107439A3 US 2013078352 W US2013078352 W US 2013078352W WO 2014107439 A3 WO2014107439 A3 WO 2014107439A3
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WO
WIPO (PCT)
Prior art keywords
mobile device
boosted decision
decision stumps
systems
methods
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PCT/US2013/078352
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French (fr)
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WO2014107439A2 (en
Inventor
Kassem Fawaz
Vinay Sridhara
Rajarshi Gupta
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Qualcomm Incorporated
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Priority to KR1020157020512A priority Critical patent/KR101826865B1/en
Priority to CN201380069119.8A priority patent/CN104885099B/en
Priority to EP13829028.3A priority patent/EP2941741A2/en
Priority to JP2015550850A priority patent/JP6258970B2/en
Publication of WO2014107439A2 publication Critical patent/WO2014107439A2/en
Publication of WO2014107439A3 publication Critical patent/WO2014107439A3/en

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computing arrangements using knowledge-based models
    • G06N5/04—Inference or reasoning models
    • G06N5/043—Distributed expert systems; Blackboards
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computing arrangements using knowledge-based models
    • G06N5/02—Knowledge representation; Symbolic representation
    • G06N5/022—Knowledge engineering; Knowledge acquisition
    • G06N5/025—Extracting rules from data

Abstract

Methods and systems for classifying mobile device behavior include configuring a server use a large corpus of mobile device behaviors to generate a full classifier model that includes a finite state machine suitable for conversion into boosted decision stumps and/or which describes all or many of the features relevant to determining whether a mobile device behavior is benign or contributing to the mobile device's degradation over time. A mobile device may receive the full classifier model and use the model to generate a full set of boosted decision stumps from which a more focused or lean classifier model is generated by culling the full set to a subset suitable for efficiently determining whether mobile device behavior are benign. Boosted decision stumps may be culled by selecting all boosted decision stumps that depend upon a limited set of test conditions.
PCT/US2013/078352 2013-01-02 2013-12-30 Methods and systems of using boosted decision stumps and joint feature selection and culling algorithms for the efficient classification of mobile device behaviors WO2014107439A2 (en)

Priority Applications (4)

Application Number Priority Date Filing Date Title
KR1020157020512A KR101826865B1 (en) 2013-01-02 2013-12-30 Methods and systems of using boosted decision stumps and joint feature selection and culling algorithms for the efficient classification of mobile device behaviors
CN201380069119.8A CN104885099B (en) 2013-01-02 2013-12-30 Algorithm is selected come the method and system efficiently classified to mobile equipment behavior using formula decision-making stub and combined feature selection function and picking is raised
EP13829028.3A EP2941741A2 (en) 2013-01-02 2013-12-30 Methods and systems of using boosted decision stumps and joint feature selection and culling algorithms for the efficient classification of mobile device behaviors
JP2015550850A JP6258970B2 (en) 2013-01-02 2013-12-30 Methods and systems using augmented determinants and linked feature selection and selection algorithms for efficient classification of mobile device behavior

Applications Claiming Priority (8)

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US201361748217P 2013-01-02 2013-01-02
US201361748220P 2013-01-02 2013-01-02
US61/748,220 2013-01-02
US61/748,217 2013-01-02
US201361874129P 2013-09-05 2013-09-05
US61/874,129 2013-09-05
US14/090,261 US9684870B2 (en) 2013-01-02 2013-11-26 Methods and systems of using boosted decision stumps and joint feature selection and culling algorithms for the efficient classification of mobile device behaviors
US14/090,261 2013-11-26

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WO2014107439A2 WO2014107439A2 (en) 2014-07-10
WO2014107439A3 true WO2014107439A3 (en) 2015-01-29

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US (1) US9684870B2 (en)
EP (1) EP2941741A2 (en)
JP (1) JP6258970B2 (en)
KR (1) KR101826865B1 (en)
CN (1) CN104885099B (en)
WO (1) WO2014107439A2 (en)

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