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11. 发明公开

US20240171281A1 OPTICAL NETWORK 审中-公开
公开(公告)号：US20240171281A1
公开(公告)日：2024-05-23
申请号：US18495652
申请日：2023-10-26
申请人： BRITISH TELECOMMUNICATIONS PUBLIC LIMITED COMPANY
发明人： Marco MENCHETTI , Daniel Gilks , Fraser Ashley Burton , Liam William Bussey
IPC分类号： H04B10/27 , H04B10/2507
CPC分类号： H04B10/27 , H04B10/2507
摘要： This disclosure provides an optical network, and a method in an optical network, wherein: each reference optical transmitter is configured to transmit a reference optical signal on an associated second optical fiber of a plurality of second optical fibers, each reference error signal generator is configured to generate a reference error signal based on a reflection of the reference optical signal on the associated second optical fiber of the plurality of second optical fibers, and each reference phase shifter is configured to apply a phase shift to the first optical signal based on the reference error signal.

12. 发明公开

US20240168757A1 SOFTWARE CODE CONSOLIDATION 审中-公开
公开(公告)号：US20240168757A1
公开(公告)日：2024-05-23
申请号：US18551466
申请日：2022-03-10
申请人： BRITISH TELECOMMUNICATIONS PUBLIC LIMITED COMPANY
发明人： Alistair MCCORMICK , Adam ZIOLKOWSKI , Emmanuel FERREYRA OLIVARES , Johannes NOPPEN
IPC分类号： G06F8/72 , G06F8/35
CPC分类号： G06F8/72 , G06F8/35
摘要： A computer implemented method to generate a software service from software code for a software component, the method including converting the code to a model representation, the model including elements corresponding to functional components in the code and relationships between elements corresponding to one or more of functional links and data relationships between the functional components; applying a clustering method to the model to define a plurality of clusters of elements of the model, each cluster of elements representing a set of functional components in the code corresponding to the elements in the cluster; monitoring the software code in execution to identify a set of functional components in the code corresponding to a cluster of elements in which the set of functional components is collectively stateless between executions of any of the functional components in the set; and generating a software service as an executable software component comprising the identified set of functional components.

13. 发明授权

US11989289B2 Remediating software vulnerabilities 有权
公开(公告)号：US11989289B2
公开(公告)日：2024-05-21
申请号：US17309531
申请日：2019-12-01
申请人： BRITISH TELECOMMUNICATIONS PUBLIC LIMITED COMPANY
发明人： Robert Hercock , Giulio Giaconi
IPC分类号： G06F21/54 , G06F18/214 , G06F21/55 , G06F21/57 , G06N3/044 , G06N3/084
CPC分类号： G06F21/554 , G06F18/214 , G06F21/54 , G06F21/577 , G06N3/044 , G06N3/084
摘要： A computer implemented method of remediating an increased vulnerability of a software system including a plurality of software components, the method including generating a vector representation of each software component derived from a neural network trained using training data defined from known vulnerabilities of the software components in the software system; aggregating the vector representations for the software component to an aggregate vector representation for a particular time; repeating the generating and the aggregating for a plurality of points in time to generate multiple generations of aggregate vector representations; comparing the multiple generations of aggregate vector representations to detect a change in an aggregate vector representation exceeding a maximum threshold degree of change as an indication of an increased vulnerability of the software system, responsive to which iteratively adjusting the software components in the software system and, at each iteration, regenerating an aggregate vector representation for the software system so adjusted to compare with the multiple generations of aggregate vector representations to identify a software component adjustment leading to a change in vector representation not exceeding the maximum threshold degree of change so as to reduce the vulnerability of the software system.

14. 发明公开

US20240159809A1 ELECTROMAGNETIC FIELD DETECTOR 审中-公开
公开(公告)号：US20240159809A1
公开(公告)日：2024-05-16
申请号：US18548390
申请日：2022-02-15
申请人： BRITISH TELECOMMUNICATIONS PUBLIC LIMITED COMPANY
发明人： Fraser BURTON , Marco MENCHETTI , Liam BUSSEY
IPC分类号： G01R29/08
CPC分类号： G01R29/0885 , G01R29/0892
摘要： This invention provides a method of detecting an electromagnetic field, and a device for 5 performing said method, the method comprising the steps of: transmitting a probe signal at a probe frequency in a first probe signal path and a second probe signal path to an optical receiver, wherein the first probe signal path passes through a transmission medium and the probe frequency is set to excite electrons of the transmission medium from a ground state to a first excited state; transmitting a coupling signal at a coupling frequency in a first coupling signal path, wherein the first coupling signal path overlaps with the first probe signal path in the transmission medium in a first overlapping section, wherein the coupling frequency is set to excite electrons of the transmission medium to a predetermined excited state so as to induce an Electromagnetic Induced Transparency, EIT, effect in the transmission medium such that an incident electromagnetic field at the transmission medium causes a change in refractive index in the transmission medium at the first overlapping section such that there is a change in an optical path length difference between the first probe signal path and the second probe signal path; combining the first path of the probe signal, following its passage of the first overlapping section of the transmission medium, with the second path of the probe signal; and monitoring, at the optical receiver, the intensity of the combined first and second paths of the probe signal so as to detect the incident electromagnetic field at the first overlapping section of the transmission medium as a change in the intensity caused by the change in the optical path length difference between the first probe signal path and the second probe signal path.

15. 发明授权

US11977398B2 Unmanned aerial vehicle 有权
公开(公告)号：US11977398B2
公开(公告)日：2024-05-07
申请号：US18249099
申请日：2021-09-17
申请人： BRITISH TELECOMMUNICATIONS PUBLIC LIMITED COMPANY
发明人： Farhad Mehran , Richard MacKenzie
IPC分类号： G05D1/00 , H04W4/02 , H04W4/40 , H04W64/00
CPC分类号： G05D1/1064 , G05D1/104 , H04W4/023 , H04W4/025 , H04W4/40 , H04W64/003
摘要： Operating a network node to control a first Unmanned Aerial Vehicle (UAV) in a wireless telecommunications network can include determining a collision risk for the first UAV; determining a reporting rate for the first UAV based on the collision risk; and sending a reporting rate update message to the first UAV so as to cause the first UAV to report its position at the determined reporting rate. A method of operating an Unmanned Aerial Vehicle (UAV) in a wireless telecommunications network is also disclosed.

16. 发明授权

US11960610B2 Detecting vulnerability change in software systems 有权
公开(公告)号：US11960610B2
公开(公告)日：2024-04-16
申请号：US17309530
申请日：2019-12-01
申请人： BRITISH TELECOMMUNICATIONS PUBLIC LIMITED COMPANY
发明人： Robert Hercock , Giulio Giaconi
IPC分类号： G06F21/54 , G06F18/214 , G06F21/55 , G06F21/57 , G06N3/044 , G06N3/084
CPC分类号： G06F21/577 , G06F18/214 , G06F21/54 , G06F21/554 , G06N3/044 , G06N3/084
摘要： A computer implemented method of detecting an increased vulnerability of a software system including a plurality of software components, the method including generating a vector representation of each software component derived from a neural network trained using training data defined from known vulnerabilities of the software components in the software system, wherein the training data is augmented by replicating each of one or more training data items in the training data responsive to one or more attributes of a vulnerability corresponding to the training data item; aggregating the vector representations for the software component to an aggregate vector representation for a particular time; repeating the generating and the aggregating for a plurality of points in time to generate multiple generations of aggregate vector representations; comparing the multiple generations of aggregate vector representations to detect a change in an aggregate vector representation exceeding a maximum threshold degree of change as an indication of an increased vulnerability of the software system.

17. 发明授权

US11941535B2 Computer-implemented method of modifying an algorithm operating on a computing system 有权
公开(公告)号：US11941535B2
公开(公告)日：2024-03-26
申请号：US17773105
申请日：2020-09-08
申请人： BRITISH TELECOMMUNICATIONS PUBLIC LIMITED COMPANY
发明人： Kjeld Jensen , Stephen Cassidy , Botond Virginas , David Rohlfing
IPC分类号： G06N5/01 , G06N20/00 , H04M3/24
CPC分类号： G06N5/01 , G06N20/00 , H04M3/241
摘要： This invention provides a computer-implemented method of modifying an algorithm operating on a computing system, and a device for implementing said method, the method comprising the steps of: applying the algorithm to a first set of inputs; determining a relevance score for a first input of the first set of inputs based on: a first effectiveness value of the first input, wherein the first effectiveness value represents a contribution of first input to the algorithm, and a first computational cost of the first input, wherein the 1 first computational cost represents the computational resources of using the first input in the algorithm; defining a second set of inputs based on the determined relevance score of the first input; and applying the algorithm to the second set of inputs.

18. 发明公开

US20240078424A1 NEURAL NETWORK ARRANGEMENT 审中-公开
公开(公告)号：US20240078424A1
公开(公告)日：2024-03-07
申请号：US18258761
申请日：2021-12-01
申请人： BRITISH TELECOMMUNICATIONS PUBLIC LIMITED COMPANY
发明人： Robert HERCOCK , Alexander HEALING
IPC分类号： G06N3/08
CPC分类号： G06N3/08
摘要： A computer implemented method of a machine learning algorithm modelling a target function mapping inputs in an input domain to outputs in an output range, the machine learning algorithm including an array of processing nodes arranged in a network of layers of nodes including an input layer for receiving an input value, an output layer for providing an output value, and one or more intermediate layers between the input and output layers, each node in the processing set being outside the input layer receiving input from at least some adjacent nodes logically closer to the input layer via weighted connections between nodes, and each node being outside the output layer generating output to at least some adjacent nodes logically closer to the output layer via weighted connections between nodes, wherein each node includes: an adjustable weight for application to each input to the node, the adjustment weight being responsive to a threshold function applied to a value of the node input; a combination function for combining outputs of the threshold function; and a node bypass function for selectively mapping one or more of the inputs to the node to the output of the node, the method comprising iteratively training the machine learning algorithm to model the target function by adjustment, at each iteration, of at least weights of connections between at least a subset of the nodes, such that the nodes of the network are programmable during operation of the algorithm by adjustment of the threshold function and the bypass function so as to selectively emphasise subsets of nodes in the network.

19. 发明授权

US11924048B2 Anomaly detection in computer networks 有权
公开(公告)号：US11924048B2
公开(公告)日：2024-03-05
申请号：US16619745
申请日：2018-06-08
申请人： British Telecommunications Public Limited Company
发明人： Maximilien Servajean , Yipeng Cheng
IPC分类号： H04L41/142 , G06F18/20 , G06F18/21 , G06F18/23 , G06N3/047 , H04L9/40
CPC分类号： H04L41/142 , G06F18/2193 , G06F18/23 , G06F18/295 , G06N3/047 , H04L63/1425
摘要： A method of anomaly detection for network traffic communicated by devices via a computer network, the method including clustering a set of time series, each time series including a plurality of time windows of data corresponding to network communication characteristics for a device; training an autoencoder for each cluster based on time series in the cluster; generating a set of reconstruction errors for each autoencoder based on testing the autoencoder with data from time windows of at least a subset of the time series; generating a probabilistic model of reconstruction errors for each autoencoder; and generating an aggregation of the probabilistic models for, in use, detecting reconstruction errors for a time series of data corresponding to network communication characteristics for a device as anomalous.

20. 发明公开

US20240073241A1 INTRUSION RESPONSE DETERMINATION 审中-公开
公开(公告)号：US20240073241A1
公开(公告)日：2024-02-29
申请号：US18256438
申请日：2021-11-29
申请人： BRITISH TELECOMMUNICATIONS PUBLIC LIMITED COMPANY
发明人： Alfie BEARD , Pushpinder CHOUHAN , Liming CHEN
IPC分类号： H04L9/40
CPC分类号： H04L63/1441 , H04L63/1416
摘要： An intrusion response system (IRS) can include a knowledge-based intrusion response (IR) component configured to use knowledge of prior responses to prior behavior of at least one computer system to determine a first response to behavior of a target computer system; a prediction-based IR component configured to use at least one trained machine learning (ML) model of behavior of the target computer system to predict a second response to the behavior of the target computer system; and a response component configured to determine an output response to the behavior of the target computer system based on at least one of the first response and the second response.

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