SCREEN-ANALYSIS BASED DEVICE SECURITY

(19)

(11)

EP 3 806 514 A8

(12)	CORRECTED EUROPEAN PATENT APPLICATION
	Note: Bibliography reflects the latest situation

(15)	Correction information:
	Corrected version no 1 (W1 A1)

(48)	Corrigendum issued on:
	26.05.2021 Bulletin 2021/21

(43)	Date of publication:
	14.04.2021 Bulletin 2021/15

(21)	Application number: 20199911.7

(22)	Date of filing: 13.06.2016

(51)

International Patent Classification (IPC):

H04W 12/06^(2021.01)
H04W 12/12^(2021.01)
G06F 21/36^(2013.01)
H04L 29/06^(2006.01)
H04W 4/029^(2018.01)
H04W 12/126^(2021.01)

H04W 12/08^(2021.01)
G06F 21/31^(2013.01)
G06N 20/00^(2019.01)
H04W 4/02^(2018.01)
H04W 12/10^(2021.01)
H04W 12/30^(2021.01)

(84)	Designated Contracting States:
	AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR

(30)

Priority:

15.06.2015 US 201514739107

(62)	Application number of the earlier application in accordance with Art. 76 EPC:
	16734091.8 / 3259931

(71)	Applicant: Google LLC
	Mountain View, CA 94043 (US)

(72)	Inventors:
	SHARIFI, Matthew Mountain View, CA California 94043 (US) WANG, Kai Mountain View, CA California 94043 (US) PETROU, David Mountain View, CA California 94043 (US)

(74)	Representative: Derry, Paul Stefan et al
	Venner Shipley LLP 200 Aldersgate London EC1A 4HD London EC1A 4HD (GB)


	Remarks:
	This application was filed on 02-10-2020 as a divisional application to the application mentioned under INID code 62.


	Remarks:
	Claims filed after the date of filing of the application (Rule 68(4) EPC).

(54)	SCREEN-ANALYSIS BASED DEVICE SECURITY

(57) Systems and methods are provided for a content-based security for computing devices. An example method includes identifying content rendered by a mobile application, the content being rendered during a session, generating feature vectors from the content and determining that the feature vectors do not match a classification model. The method also includes providing, in response to the determination that the feature vectors do not match the classification model, a challenge configured to authenticate a user of the mobile device. Another example method includes determining a computing device is located at a trusted location, capturing information from a session, the information coming from content rendered by a mobile application during the session, generating feature vectors for the session, and repeating this until a training criteria is met. The method also includes training a classification model using the feature vectors and authenticating a user of the device using the trained classification model.