公开(公告)号：US20210111880A1

公开(公告)日：2021-04-15

申请号：US15999422

申请日：2017-02-15

Applicant: AGENCY FOR SCIENCE, TECHNOLOGY AND RESEARCH

Inventor： Shuqin REN ,  Hong Meng Benjamin TAN ,  Khin Mi Mi AUNG

IPC: H04L9/08 ,  H04L9/06 ,  H04L9/30

Abstract: An access control method, which may be applied in a cloud environment, is provided in various embodiments. The access control method includes: receiving from a user a request for access to a resource; determining a group access key related to the resource; determining a user key of the user; determining whether the group key is an integer multiple of the user key; and granting the user access to the resource if it is determined that the group access key is an integer multiple of the user key.

公开(公告)号：US20240171374A1

公开(公告)日：2024-05-23

申请号：US18550100

申请日：2021-03-12

Applicant: Agency for Science, Technology and Research

Inventor： Hong Meng Benjamin TAN ,  Sze Ling YEO ,  Khin Mi Mi AUNG

IPC: H04L9/00 ,  H04L9/06

CPC classification number: H04L9/008 ,  H04L9/06

Abstract: In some aspects, a method for generating encoded plaintext data in a plaintext vector space includes obtaining a plurality of vectors of plaintext elements, where each plaintext element is an element of a first finite field. The method further includes encoding the plurality of vectors of plaintext elements to a vector of field elements, where each vector of plaintext elements is encoded to a respective field element of the vector of field elements, each of the field elements is an element of a second finite field, and the second finite field is a finite extension field of the first finite field. The method additionally includes encoding the vector of field elements into an element of the plaintext vector space to produce the encoded plaintext data for homomorphic encryption and computation.

公开(公告)号：US20240062053A1

公开(公告)日：2024-02-22

申请号：US18260585

申请日：2021-01-08

Applicant: AGENCY FOR SCIENCE, TECHNOLOGY AND RESEARCH

Inventor： Hong Meng Benjamin TAN ,  Souhail MEFTAH ,  Khin Mi Mi AUNG

IPC: G06N3/063

CPC classification number: G06N3/063

Abstract: In some aspects, a set of input elements is obtained, at a rectified linear unit-activated neuron of a neural network based, on input data at the neuron. A first group and a second group of input elements are generated based on the set of input elements. The first group and the second group of input elements are associated with first weight elements and second weight elements, respectively. A first value is generated based on the first group of input elements and the first weight elements. A second value is generated based on the second group of input elements and the second weight elements. A third value and a fourth value are respectively generated based on a first operation and a second operation on the first value and the second value. An output of the neuron is generated based on the third value and the fourth value.