公开(公告)号：US20140337674A1

公开(公告)日：2014-11-13

申请号：US14270445

申请日：2014-05-06

Applicant: NEC Laboratories America, Inc.

Inventor： Franjo Ivancic ,  Cristian Lumezanu ,  Gogul Balakrishnan ,  Willard Dennis ,  Aarti Gupta

IPC: H04L12/26

CPC classification number: H04L43/50 ,  H04L41/04 ,  H04L41/5096

Abstract: A network testing method implemented in a software-defined network (SDN) is disclosed. The network testing method comprising providing a test scenario including one or more network events, injecting said one or more network events to the SDN using an SDN controller, and gathering network traffic statistics. A network testing apparatus used in a software-defined network (SDN) also is disclosed. The network testing apparatus comprising a testing system to provide a test scenario including one or more network events, to inject said one or more network events to the SDN using an SDN controller, and to gather network traffic statistics. Other methods, apparatuses, and systems also are disclosed.

Abstract translation: 公开了一种在软件定义网络（SDN）中实现的网络测试方法。 网络测试方法包括提供包括一个或多个网络事件的测试场景，使用SDN控制器向SDN注入所述一个或多个网络事件，以及收集网络流量统计信息。 还公开了一种在软件定义网络（SDN）中使用的网络测试设备。 所述网络测试装置包括测试系统，以提供包括一个或多个网络事件的测试场景，以使用SDN控制器将所述一个或多个网络事件注入到所述SDN中，并且收集网络流量统计信息。 还公开了其它方法，装置和系统。

公开(公告)号：US20140064066A1

公开(公告)日：2014-03-06

申请号：US13973254

申请日：2013-08-22

Applicant: NEC Laboratories America, Inc.

Inventor： Cristian Lumezanu ,  Anupam Das ,  Yueping Zhang ,  Vishal Kumar Singh ,  Curtis Yu ,  Guofei Jiang

IPC: H04L12/801

CPC classification number: H04L47/12 ,  H04L45/02 ,  H04L45/64 ,  Y02D30/30

Abstract: A method implemented in a network apparatus used in a network is disclosed. The method comprises collecting information about network topology from a network controller, collecting information about data movement, deciding routing in the network according to the information about network topology and the information about data movement, and providing information about the routing to the network controller, wherein the network controller enforces the routing in the network. Other methods, apparatuses, and systems also are disclosed.

Abstract translation: 公开了一种在网络中使用的网络装置中实现的方法。 该方法包括从网络控制器收集关于网络拓扑的信息，收集关于数据移动的信息，根据关于网络拓扑的信息和关于数据移动的信息来确定网络中的路由，以及向网络控制器提供关于路由的信息，其中 网络控制器在网络中实施路由。 还公开了其它方法，装置和系统。

公开(公告)号：US11782812B2

公开(公告)日：2023-10-10

申请号：US17491632

申请日：2021-10-01

Applicant: NEC Laboratories America, Inc.

Inventor： Yuncong Chen ,  Zhengzhang Chen ,  Cristian Lumezanu ,  Masanao Natsumeda ,  Xiao Yu ,  Wei Cheng ,  Takehiko Mizoguchi ,  Haifeng Chen

IPC: G06F11/34 ,  G06N3/08 ,  G06N3/045

CPC classification number: G06F11/3476 ,  G06N3/045 ,  G06N3/08

Abstract: A method for system metric prediction and influential events identification by concurrently employing metric logs and event logs is presented. The method includes concurrently modeling multivariate metric series and individual events in event series by a multi-stream recurrent neural network (RNN) to improve prediction of future metrics, where the multi-stream RNN includes a series of RNNs, one RNN for each metric and one RNN for each event sequence and modeling causality relations between the multivariate metric series and the individual events in the event series by employing an attention mechanism to identify target events most responsible for fluctuations of one or more target metrics.

公开(公告)号：US11741146B2

公开(公告)日：2023-08-29

申请号：US17370498

申请日：2021-07-08

Applicant: NEC Laboratories America, Inc.

Inventor： Yuncong Chen ,  Dongjin Song ,  Cristian Lumezanu ,  Haifeng Chen ,  Takehiko Mizoguchi ,  Xuchao Zhang

IPC: G06F16/35 ,  G06K9/62 ,  G06F40/169 ,  G06N3/08 ,  G06F18/23 ,  G06F18/214 ,  G06V10/77 ,  G06V10/82 ,  G06V10/62

CPC classification number: G06F16/355 ,  G06F18/2155 ,  G06F18/23 ,  G06F40/169 ,  G06N3/08 ,  G06V10/62 ,  G06V10/7715 ,  G06V10/82

Abstract: Methods and systems of training and using a neural network model include training a time series embedding model and a text embedding model with unsupervised clustering to translate time series and text, respectively, to a shared latent space. The time series embedding model and the text embedding model are further trained using semi-supervised clustering that samples training data pairs of time series information and associated text for annotation.

公开(公告)号：US20220215256A1

公开(公告)日：2022-07-07

申请号：US17695325

申请日：2022-03-15

Applicant: NEC Laboratories America, Inc.

Inventor： Dongjin Song ,  Yuncong Chen ,  Cristian Lumezanu ,  Takehiko Mizoguchi ,  Haifeng Chen ,  Wei Zhu

IPC: G06N3/08 ,  G06N3/04

Abstract: Methods and systems for training a neural network include collecting model exemplar information from edge devices, each model exemplar having been trained using information local to the respective edge devices. The collected model exemplar information is aggregated together using federated averaging. Global model exemplars are trained using federated constrained clustering. The trained global exemplars are transmitted to respective edge devices.

公开(公告)号：US11355138B2

公开(公告)日：2022-06-07

申请号：US16997249

申请日：2020-08-19

Applicant: NEC Laboratories America, Inc.

Inventor： Cristian Lumezanu ,  Yuncong Chen ,  Dongjin Song ,  Takehiko Mizuguchi ,  Haifeng Chen ,  Bo Dong

IPC: G10L25/51 ,  G10L25/24 ,  G10L25/18 ,  G10L25/21

Abstract: A method is provided. Intermediate audio features are generated from respective segments of an input acoustic time series for a same scene. Using a nearest neighbor search, respective segments of the input acoustic time series are classified based on the intermediate audio features to generate a final intermediate feature as a classification for the input acoustic time series. Each respective segment corresponds to a respective different acoustic window. The generating step includes learning the intermediate audio features from Multi-Frequency Cepstral Component (MFCC) features extracted from the input acoustic time series, dividing the same scene into the different windows having varying MFCC features, and feeding the MFCC features of each window into respective LSTM units such that a hidden state of each respective LSTM unit is passed through an attention layer to identify feature correlations between hidden states at different time steps corresponding to different ones of the different windows.

公开(公告)号：US10999247B2

公开(公告)日：2021-05-04

申请号：US16169012

申请日：2018-10-24

Applicant: NEC Laboratories America, Inc.

Inventor： Bo Zong ,  Daeki Cho ,  Cristian Lumezanu ,  Haifeng Chen ,  Qi Song

IPC: H04L29/06 ,  G06N3/08 ,  G06N3/04

Abstract: Systems and methods for preventing cyberattacks using a Density Estimation Network (DEN) for unsupervised anomaly detection, including constructing the DEN using acquired network traffic data by performing end-to-end training. The training includes generating low-dimensional vector representations of the network traffic data by performing dimensionality reduction of the network traffic data, predicting mixture membership distribution parameters for each of the low-dimensional representations by performing density estimation using a Gaussian Mixture Model (GMM) framework, and formulating an objective function to estimate an energy and determine a density level of the low-dimensional representations for anomaly detection, with an anomaly being identified when the energy exceeds a pre-defined threshold. Cyberattacks are prevented by blocking transmission of network flows with identified anomalies by directly filtering out the flows using a network traffic monitor.

公开(公告)号：US20210012061A1

公开(公告)日：2021-01-14

申请号：US16918257

申请日：2020-07-01

Applicant: NEC Laboratories America, Inc. ,  NEC Corporation

Inventor： Yuncong Chen ,  Dongjin Song ,  Cristian Lumezanu ,  Haifeng Chen ,  Takehiko Mizoguchi

IPC: G06F40/166 ,  G06F16/23 ,  G06N3/04 ,  G06N3/08 ,  G06F40/30

Abstract: A system for cross-modal data retrieval is provided which includes a neural network having a time series encoder and text encoder jointly trained based on a triplet loss relating to two different modalities of (i) time series and (ii) free-form text comments. A database stores training sets with feature vectors extracted from encodings of the training sets. The encodings are obtained by encoding the time series using the time series encoder and encoding the text comments using the text encoder. A processor retrieves the feature vectors corresponding to at least one of the modalities from the database for insertion into a feature space together with a feature vector corresponding to a testing input relating to at least one of a testing time series and a testing free-form text comment, determines a set of nearest neighbors from among the feature vectors based on distance criteria, and outputs testing results.

公开(公告)号：US20190098048A1

公开(公告)日：2019-03-28

申请号：US16101794

申请日：2018-08-13

Applicant: NEC Laboratories America, Inc.

Inventor： Cristian Lumezanu ,  Nipun Arora ,  Haifeng Chen ,  Bo Zong ,  Daeki Cho ,  Mingda Li

IPC: H04L29/06 ,  H04L12/733 ,  H04L12/741 ,  H04L12/26 ,  G06N3/08 ,  G06K9/62

Abstract: Methods and systems for mitigating a spoofing-based attack include calculating a travel distance between a source Internet Protocol (IP) address and a target IP address from a received packet based on time-to-live information from the received packet. An expected travel distance between the source IP address and the target IP address is estimated based on a sparse set of known source/target distances. It is determined that the received packet has a spoofed source IP address based on a comparison between the calculated travel distance and the expected travel distance. A security action is performed responsive to the determination that the received packet has a spoofed source IP address.

公开(公告)号：US20150180755A1

公开(公告)日：2015-06-25

申请号：US14575013

申请日：2014-12-18

Applicant: NEC Laboratories America, Inc.

Inventor： Hui Zhang ,  Junghwan Rhee ,  Nipun Arora ,  Cristian Lumezanu ,  Guofei Jiang

IPC: H04L12/26

CPC classification number: H04L41/0631 ,  H04L41/069 ,  H04L41/14 ,  H04L43/0858

Abstract: A computer implemented method for network monitoring includes providing network packet event characterization and analysis for network monitoring that includes supporting summarization and characterization of network packet traces collected across multiple processing elements of different types in a virtual network, including a trace slicing to organize individual packet events into path-based trace slices, a trace characterization to extract at least 2 types of feature matrix describing those trace slices, and a trace analysis to cluster, rank and query packet traces based on metrics of the feature matrix.

Abstract translation: 一种用于网络监测的计算机实现方法包括为网络监测提供网络分组事件表征和分析，其包括支持在虚拟网络中跨越不同类型的多个处理元件收集的网络分组跟踪的概括和表征，包括用于组织各个分组事件的跟踪分片 基于路径的跟踪切片，提取描述这些跟踪切片的至少2种类型的特征矩阵的跟踪表征，以及基于特征矩阵的度量的集群，排序和查询分组跟踪的跟踪分析。