METHOD AND SYSTEM FOR DETECTING AND MITIGATING NETWORK BREACHES

    公开(公告)号:US20210021637A1

    公开(公告)日:2021-01-21

    申请号:US16512317

    申请日:2019-07-15

    Inventor: Kumar Srivastava

    Abstract: Disclosed is a method and a system for detecting and managing phishing attack. The security product of the present invention enables a user to look at the activity of any other user and all of their owned devices before and after a phishing attack targeted at that user. The present invention also enables the user to look at the activity of the infrastructure and determine if an attack has occurred and what is the impact of that attack. The present invention also enables the user to view various attacks on their infrastructure.

    METHOD AND SYSTEM FOR AI-DRIVEN & AI-OPTIMIZED DECISIONS, ACTIONS, & WORKFLOWS IN PROCESS OPERATIONS

    公开(公告)号:US20190251487A1

    公开(公告)日:2019-08-15

    申请号:US16395379

    申请日:2019-04-26

    Inventor: Kumar Srivastava

    CPC classification number: G06Q10/0633 G06N5/02

    Abstract: Disclosed is a method and a system for AI-driven & AI-optimized decisions, actions, & workflows in process operations. The system has the ability to create, update, process, and link tickets automatically. The system can also automatically determine the transactions that should be converted into tickets. The system further processes any generated or created tickets through a set of AI models designed to produce classifications for tickets in real time and appends the AI driven classifications to the tickets. The system can analyze the content of the ticket and assign the ticket automatically to the appropriate ticket queue that is owned by a user or team.

    METHOD AND SYSTEM FOR AUTO LEARNING, ARTIFICIAL INTELLIGENCE (AI) APPLICATIONS DEVELOPMENT, OPERATIONALIZATION AND EXECUTION

    公开(公告)号:US20190171950A1

    公开(公告)日:2019-06-06

    申请号:US16271873

    申请日:2019-02-10

    Inventor: Kumar Srivastava

    Abstract: Disclosed is a method and a system a method and a system for auto learning, artificial intelligence (AI) applications development, and execution. Various applications or operations may be associated with training environment-agnostic AI models, automated AI app application performance monitoring, fault, quality and performance remediation through prediction of failures or suboptimal performance, privacy and secure AI training and inference mechanism for data and AI model sharing between untrusted parties, and building auto learning applications that can automatically learn and improve.

    Dielectric resonator
    6.
    发明申请
    Dielectric resonator 失效
    介质谐振器

    公开(公告)号:US20060097826A1

    公开(公告)日:2006-05-11

    申请号:US11248023

    申请日:2005-10-11

    CPC classification number: H01P7/10

    Abstract: A dielectric resonator is disclosed. In one embodiment, the resonator includes i) a conductive case having a plurality of walls which together define an inner space, ii) a substrate placed at the bottom of the conductive case, and iii) a cylindrical dielectric resonator unit, mounted centrally on the substrate having a central longitudinal axis. The cylindrical dielectric resonator unit includes a dumbbell shaped hole located centrally in the resonator unit extending from a top to a bottom of the resonator unit. In one embodiment, the dumbbell shaped hole includes i) a top layer, ii) a bottom layer and iii) an intermediate layer sandwiched between the top and bottom layers. In one embodiment, the substrate and resonator unit are enclosed inside the conductive case.

    Abstract translation: 公开了一种介质谐振器。 在一个实施例中,谐振器包括i)具有多个壁的导电壳体,其一起限定内部空间,ii)放置在导电壳体底部的衬底,以及iii)圆柱形介质谐振器单元,其集中安装在 基板具有中心纵向轴线。 圆柱形介质谐振器单元包括位于谐振器单元中心的哑铃形孔,从谐振器单元的顶部延伸到底部。 在一个实施例中,哑铃形孔包括i)顶层,ii)底层和iii)夹在顶层和底层之间的中间层。 在一个实施例中,衬底和谐振器单元封装在导电壳内。

    Message Organization and Spam Filtering Based on User Interaction
    8.
    发明申请
    Message Organization and Spam Filtering Based on User Interaction 有权
    基于用户交互的消息组织和垃圾邮件过滤

    公开(公告)号:US20070156886A1

    公开(公告)日:2007-07-05

    申请号:US11275412

    申请日:2005-12-29

    Inventor: Kumar Srivastava

    CPC classification number: H04L51/12 G06Q10/109 H04L51/08

    Abstract: Embodiments of message organization and spam filtering based on user interaction are presented herein. In an implementation, user interaction with a plurality of messages in a user interface is monitored, which includes analyzing an amount of time spent by a user in interacting with each message. Subsequent messages may then be filtered based on the monitored user interaction. In another implementation, messages are processed that are received via a network using a spam filter that was generated based on monitored interaction of a user with previous messages. The processing results in a value describing a relative likelihood of importance of each of the processed message to the user. The processed messages are then arranged for display in an order, one to another, in a user interface based on respective values.

    Abstract translation: 本文介绍了基于用户交互的消息组织和垃圾邮件过滤的实施例。 在实现中,用户与用户界面中的多个消息进行交互被监控,其包括分析用户与每个消息交互所花费的时间量。 然后可以基于所监视的用户交互来过滤随后的消息。 在另一个实现中,处理通过网络接收的消息,该垃圾邮件过滤器是基于用户先前消息的监视交互而生成的。 处理产生描述每个处理的消息对用户的重要性的相对似然性的值。 然后,基于相应的值,将经处理的消息按照用户界面中的顺序排列成一个接一个地显示。

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