Patents Assigned to NEURAL TECHNOLOGY LIMITED
  • Publication number: 20180329907
    Abstract: A method comprises: sending at a server to one or more user devices first data and group of first hashes, the group comprising a subset of first hashes stored in a hash store. Each first hash is stored in association with a respective first data portion. The server subsequently receives from each user device one or more second hashes and second data. The first data has been modified at the user device and the second data comprises the modified first data excluding one or more second data portions from which each second hash can be hashed. For each second hash, an indication that the second hash has been received with the matching, is then associated with the stored first hash. Based on the indications, the group is updated to comprises first hashes that are more likely to be received than the first hashes not in the group.
    Type: Application
    Filed: November 17, 2017
    Publication date: November 15, 2018
    Applicant: NEURAL TECHNOLOGY LIMITED
    Inventor: Timothy Andre William George De Paris
  • Patent number: 9185096
    Abstract: A method of verifying the identity of a user comprising: initiating (50) a sign-in request from a first computing device to an authentication server; receiving (58) an instruction from the authentication server to provide signature data from a second computing device; entering (64) signature data at the second computing device and sending the signature data to the authentication server; verifying (65) the signature data at the authentication server; notifying (66) the user that their identity has been verified on the basis of the data received from the second computing device.
    Type: Grant
    Filed: June 23, 2011
    Date of Patent: November 10, 2015
    Assignee: Applied Neural Technologies Limited
    Inventors: Yossi Avni, Eytan Suchard
  • Patent number: 9053309
    Abstract: The present invention discloses a method of verifying the authenticity of a provided signature, comprising the steps of: receiving a set of sampled data points, each sampled data point being associated with a different position along the signature; identifying a set of characterizing nodes within the set of sampled data points using a set of predetermined characterizing nodes comprised in a pre-stored user profile; determining if each identified characterizing node lies within a predetermined threshold range of a corresponding predetermined characterizing node; and generating a positive verification when the characterizing nodes lie within the predetermined threshold range. A system arranged to carry out the method is also disclosed.
    Type: Grant
    Filed: March 14, 2013
    Date of Patent: June 9, 2015
    Assignee: Applied Neural Technologies Limited
    Inventors: Yossi Avni, Eytan Suchard
  • Publication number: 20150134669
    Abstract: A computer-implemented method of providing unique identification information for an element in a tree data structure where the element does not have an independent, unique identifier associated therewith by which it can be identified without reference to any further element. The method comprises determining (130) identification information uniquely identifying an element in a structure model, by reference to another element in the structure having a unique identifier associated therewith by which the other element can be uniquely identified without reference to any further element in the structure. The unique identification information comprises a unique identifier of the other element by which said other element can be uniquely identified in the structure without reference to any further element in the structure, and path information uniquely identifying the element in the structure relative to the other element.
    Type: Application
    Filed: September 5, 2014
    Publication date: May 14, 2015
    Applicant: NEURAL TECHNOLOGY LIMITED
    Inventors: Benjamin Lewin Harris, Timothy Andre William George De Paris
  • Publication number: 20120271763
    Abstract: Methods and systems of mobile remittance that are network-agnostic and that allow transfer of funds across any network, regardless of whether these networks have funds transfer agreements with each other. In accordance with aspects of the present invention, the methods and systems of mobile remittance transactions are easy to use and secure, and ensure that the mobile remittance reaches the intended recipient, regardless of whether the recipient is in an urban or rural area.
    Type: Application
    Filed: April 20, 2012
    Publication date: October 25, 2012
    Applicant: NEURAL TECHNOLOGIES LIMITED
    Inventors: Alvin David Toms, Stephen Kai Chiu Sui
  • Publication number: 20110239306
    Abstract: A data leak protection method for managing user interaction with a computing device, the computing device comprising a kernel mode of operation and a user mode of operation, the method comprising: monitoring the kernel mode of the computing device in order to detect user-initiated events; determining whether a given user-initiated event has a forbidden status or an allowed status; performing an action in dependence on the status of the given user-initiated event.
    Type: Application
    Filed: August 27, 2009
    Publication date: September 29, 2011
    Applicant: APPLIED NEURAL TECHNOLOGIES LIMITED
    Inventors: Yossi Avni, Eytan Suchard
  • Patent number: 7715600
    Abstract: The present invention includes a system and a method of validating an identity of a user using a pointing device by comparing a sampled mouse signature with an authenticated mouse signature. The method includes presenting a virtual pad including a background graphic image, a plurality of objects positioned on the background graphic image to a user. The user moves the pointing device to manipulate a cursor on the background graphic image. The method includes a step of sampling a plurality of events corresponding to positions of the cursor to provide a sampled mouse signature including a set of position vectors. The present invention includes comparing the sampled mouse signature to a stored mouse signature representing the identity of a user, and validating the identity of a user in response to the comparing step.
    Type: Grant
    Filed: October 31, 2003
    Date of Patent: May 11, 2010
    Assignee: Applied Neural Technologies Limited
    Inventors: Yossi Avni, Eytan Suchard
  • Patent number: 7424462
    Abstract: A method of comparing an input pattern with a memory pattern includes the steps of loading a representation of said input pattern into cells in an input layer; loading a representation of said memory pattern into cells in a memory layer; loading an initial value into cells in an intermediate layers between said input layer and said memory layer; comparing values of cells in said intermediate layers with values stored in cells of adjacent layers; updating values stored in cells in said intermediate layers based on said step of comparing; and mapping cells in said memory layer to cells in said input layer.
    Type: Grant
    Filed: March 29, 2004
    Date of Patent: September 9, 2008
    Assignee: Applied Neural Technologies Limited of Woodbourne Hall
    Inventors: Yossi Avni, Eytan Suchard