Ranking causal anomalies via temporal and dynamical analysis on vanishing correlations

    公开(公告)号:US10289471B2

    公开(公告)日:2019-05-14

    申请号:US15420949

    申请日:2017-01-31

    IPC分类号: G06F11/00 G06F11/07 G06N20/00

    摘要: A method is provided for root cause anomaly detection in an invariant network having a plurality of nodes that generate time series data. The method includes modeling anomaly propagation in the network. The method includes reconstructing broken invariant links in an invariant graph based on causal anomaly ranking vectors. Each broken invariant link involves a respective node pair formed from the plurality of nodes such that one of the nodes in the respective node pair has an anomaly. Each causal anomaly ranking vector is for indicating a respective node anomaly status for a given one of the plurality of nodes when paired. The method includes calculating a sparse penalty of the casual anomaly ranking vectors to obtain a set of time-dependent anomaly rankings. The method includes performing temporal smoothing of the set of rankings, and controlling an anomaly-initiating one of the plurality of nodes based on the set of rankings.

    Graph Model for Alert Interpretation in Enterprise Security System

    公开(公告)号:US20190121969A1

    公开(公告)日:2019-04-25

    申请号:US16161564

    申请日:2018-10-16

    IPC分类号: G06F21/55 H04L12/24 H04L29/06

    摘要: A computer-implemented method for implementing alert interpretation in enterprise security systems is presented. The computer-implemented method includes employing a plurality of sensors to monitor streaming data from a plurality of computing devices, generating alerts based on the monitored streaming data, automatically analyzing the alerts, in real-time, by using a graph-based alert interpretation engine employing process-star graph models, retrieving a cause of the alerts, an aftermath of the alerts, and baselines for the alert interpretation, and integrating the cause of the alerts, the aftermath of the alerts, and the baselines to output an alert interpretation graph to a user interface of a user device.

    System Fault Diagnosis via Efficient Temporal and Dynamic Historical Fingerprint Retrieval

    公开(公告)号:US20170308427A1

    公开(公告)日:2017-10-26

    申请号:US15490499

    申请日:2017-04-18

    IPC分类号: G06F11/07

    摘要: Methods are provided for both single modal and multimodal fault diagnosis. In a method, a fault fingerprint is constructed based on a fault event using an invariant model. A similarity matrix between the fault fingerprint and one or more historical representative fingerprints are derived using dynamic time warping and at least one convolution. A feature vector in a feature subspace for the fault fingerprint is generated. The feature vector includes at least one status of at least one system component during the fault event. A corrective action correlated to the fault fingerprint is determined. The corrective action is initiated on a hardware device to mitigate expected harm to at least one item selected from the group consisting of the hardware device, another hardware device related to the hardware device, and a person related to the hardware device.

    ENTITY EMBEDDING-BASED ANOMALY DETECTION FOR HETEROGENEOUS CATEGORICAL EVENTS

    公开(公告)号:US20170302516A1

    公开(公告)日:2017-10-19

    申请号:US15427654

    申请日:2017-02-08

    IPC分类号: H04L12/24 G06F17/30

    摘要: A system and method are provided. The system includes a processor. The processor is configured to receive a plurality of events from network devices, the plurality of events including entities that are involved in the plurality of events. The processor is further configured to embed the entities into a common latent space based on co-occurrence of the entities in the plurality of events and model respective pairs of the entities for compatibility according to the embedding of the entities to form a pairwise interaction for the respective pairs of the entities. The processor is additionally configured to weigh the pairwise interaction of different ones of the respective pairs of the entities based on one or more compatibility criterion to generate a probability of an occurrence of an anomaly and alter the configuration of one or more of the network devices based on the probability of the occurrence of the anomaly.

    OUTPUT EFFICIENCY OPTIMIZATION IN PRODUCTION SYSTEMS
    58.
    发明申请
    OUTPUT EFFICIENCY OPTIMIZATION IN PRODUCTION SYSTEMS 审中-公开
    生产系统的输出效率优化

    公开(公告)号:US20170016354A1

    公开(公告)日:2017-01-19

    申请号:US15211191

    申请日:2016-07-15

    IPC分类号: F01K13/02 F01K13/00 G05B13/04

    摘要: Systems and methods are provided for optimizing system output in production systems, comprising. The method includes separating, by a processor, one or more initial input variables into a plurality of output variables, the output variables including environmental variables and system response variables. The method also includes building, using the processor, a nonparametric estimation that determines a relationship between one or more initial control variables and the system response variables, and estimating a global input-output mapping function, using the determined relationship, and a range of the environmental variables. The method further includes generating one or more optimal control variables from the initial control variables by maximizing the input-output mapping function and the range of the environmental variables. The method additionally includes incorporating one or more of the optimal control variables into a production system to increase production output of the production system.

    摘要翻译: 提供了用于优化生产系统中的系统输出的系统和方法,包括。 该方法包括将处理器将一个或多个初始输入变量分离成多个输出变量,输出变量包括环境变量和系统响应变量。 该方法还包括使用处理器构建非参数估计,其确定一个或多个初始控制变量与系统响应变量之间的关系,以及使用所确定的关系估计全局输入 - 输出映射函数,以及范围的 环境变量。 该方法还包括通过最大化输入 - 输出映射函数和环境变量的范围从初始控制变量产生一个或多个最优控制变量。 该方法还包括将一个或多个最佳控制变量并入到生产系统中以增加生产系统的生产输出。

    Integrated Community And Role Discovery In Enterprise Networks
    59.
    发明申请
    Integrated Community And Role Discovery In Enterprise Networks 审中-公开
    企业网络中的集成社区和角色发现

    公开(公告)号:US20160308725A1

    公开(公告)日:2016-10-20

    申请号:US15098861

    申请日:2016-04-14

    IPC分类号: H04L12/24 H04L29/06

    摘要: Methods and systems for detecting anomalous communications include simulating a network graph based on community and role labels of each node in the network graph based on one or more linking rules. The community and role labels of each node are adjusted based on differences between the simulated network graph and a true network graph. The simulation and adjustment are repeated until the simulated network graph converges to the true network graph to determine a final set of community and role labels. It is determined whether a network communication is anomalous based on the final set of community and role labels.

    摘要翻译: 用于检测异常通信的方法和系统包括基于一个或多个链接规则来模拟网络图中基于社区和每个节点的角色标签的网络图。 基于模拟网络图和真实网络图之间的差异来调整每个节点的社区和角色标签。 重复模拟和调整,直到模拟网络图收敛到真实的网络图,以确定最终的一组社区和角色标签。 基于社区和角色标签的最终集确定网络通信是否是异常的。

    AGING PROFILING ENGINE FOR PHYSICAL SYSTEMS
    60.
    发明申请
    AGING PROFILING ENGINE FOR PHYSICAL SYSTEMS 审中-公开
    用于物理系统的老化型发动机

    公开(公告)号:US20160161374A1

    公开(公告)日:2016-06-09

    申请号:US14961519

    申请日:2015-12-07

    IPC分类号: G01M99/00

    摘要: Systems and methods for managing components of physical systems, including decomposing raw time series by extracting an aging trend and a fluctuation term from the time series using an objective function of an optimization problem, the objective function minimizing reconstruction error and ensuring flatness of the fluctuation term over time. The optimization problem is transformed into a Quadratic Programming (QP) formulation including a monotonicity constraint and a non-negativity constraint, the constraints being merged together to reduce computational costs. An aging score and a confidence score are generated for the extracted aging trend to determine a severeness of aging for one or more components of the physical system, and the aging score and confidence score are fused to provide a fused ranking for the extracted aging trend for predicting future failures of the components.

    摘要翻译: 用于管理物理系统组件的系统和方法,包括通过使用优化问题的目标函数从时间序列中提取老化趋势和波动项来分解原始时间序列,目标函数最小化重建误差并确保波动项的平坦度 随着时间的推移。 优化问题被转换成二次规划(QP)公式,包括单调约束和非负性约束,将约束合并在一起以降低计算成本。 对于提取的老化趋势产生老化评分和置信度分数,以确定物理系统的一个或多个组分的老化度,并且老化得分和置信度得分被融合,以提供提取的老化趋势的融合排名 预测组件的未来故障。