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公开(公告)号：US10027718B2
公开(公告)日：2018-07-17
申请号：US15231488
申请日：2016-08-08
Applicant: SAP SE
Inventor： Laurent Gomez , Jose Marquez , Cedric Hebert
IPC: H04L29/06
Abstract: Embodiments are configured for automating security design in IoT systems. The achievable security level for any given IoT system may be assessed based on the capabilities of each of the entities involved in its data path to generate a set of security policies for the IoT system. The capabilities of each entity involved in the IoT data path can be evaluated together with the capabilities of the communication links between entities. Based on these capabilities and user security preferences, the security policies can be generated to achieve a target level security. Based on this approach, security designs of IoT architectures can be developed through automated information collection.
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公开(公告)号：US20180041546A1
公开(公告)日：2018-02-08
申请号：US15231488
申请日：2016-08-08
Applicant: SAP SE
Inventor： Laurent Gomez , Jose Marquez , Cedric Hebert
IPC: H04L29/06
CPC classification number: H04L63/205 , H04L63/105 , H04L63/20
Abstract: Embodiments are configured for automating security design in IoT systems. The achievable security level for any given IoT system may be assessed based on the capabilities of each of the entities involved in its data path to generate a set of security policies for the IoT system. The capabilities of each entity involved in the IoT data path can be evaluated together with the capabilities of the communication links between entities. Based on these capabilities and user security preferences, the security policies can be generated to achieve a target level security. Based on this approach, security designs of IoT architectures can be developed through automated information collection.
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公开(公告)号：US11575500B2
公开(公告)日：2023-02-07
申请号：US16045113
申请日：2018-07-25
Applicant: SAP SE
Inventor： Laurent Y. Gomez , Jose Marquez , Patrick Duverger
Abstract: Systems and methods are provided for receiving input data to be processed by an encrypted neural network (NN) model, and encrypting the input data using a fully homomorphic encryption (FHE) public key associated with the encrypted NN model to generate encrypted input data. The systems and methods further provided for processing the encrypted input data to generate an encrypted inference output, using the encrypted NN model by, for each layer of a plurality of layers of the encrypted NN model, computing an encrypted weighted sum using encrypted parameters and a previous encrypted layer, the encrypted parameters comprising at least an encrypted weight and an encrypted bias, approximating an activation function for the level into a polynomial, and computing the approximated activation function on the encrypted weighted sum to generate an encrypted layer. The generated encrypted inference output is sent to a server system for decryption.
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公开(公告)号：US20200036510A1
公开(公告)日：2020-01-30
申请号：US16045113
申请日：2018-07-25
Applicant: SAP SE
Inventor： Laurent Y. Gomez , Jose Marquez , Patrick Duverger
Abstract: Systems and methods are provided for receiving input data to be processed by an encrypted neural network (NN) model, and encrypting the input data using a fully homomorphic encryption (FHE) public key associated with the encrypted NN model to generate encrypted input data. The systems and methods further provided for processing the encrypted input data to generate an encrypted inference output, using the encrypted NN model by, for each layer of a plurality of layers of the encrypted NN model, computing an encrypted weighted sum using encrypted parameters and a previous encrypted layer, the encrypted parameters comprising at least an encrypted weight and an encrypted bias, approximating an activation function for the level into a polynomial, and computing the approximated activation function on the encrypted weighted sum to generate an encrypted layer. The generated encrypted inference output is sent to a server system for decryption.
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