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    • 6. 发明申请
    • FEATURE BASED DATA MANAGEMENT
    • 基于特征的数据管理
    • WO2010011902A2
    • 2010-01-28
    • PCT/US2009/051658
    • 2009-07-24
    • ZSCALER, INC.KAILASH, KailashREGOTI, LakshmaiahGANAPATHY, Hariharan
    • KAILASH, KailashREGOTI, LakshmaiahGANAPATHY, Hariharan
    • G06F21/22G06F21/00
    • H04L63/10G06F9/466G06F9/52
    • Methods, systems, and apparatus, including computer program products, for data structure locking. In one aspect, a proper subset of variables of a set of variables in a data structure are received. An access privilege to modify variables in the data structure to administrator accounts is assigned. A first administrator access request to modify a variable in the proper subset of variables is received, and the access privilege to modify the variable in the proper subset of variables for the first administrator account. A second administrator access request to modify the variable in the proper subset of variables is received, and an access timer that expires after a time period is initiated; the access privilege is disabled for the first administrator account in response to expiration of the access timer; and the access privilege for the second administrator account is enabled in response to expiration of the access timer.
    • 方法,系统和设备,包括用于数据结构锁定的计算机程序产品。 在一个方面,接收数据结构中一组变量的适当的变量子集。 分配将数据结构中的变量修改为管理员帐户的访问权限。 接收到修改变量子集中的变量的第一个管理员访问请求,以及修改第一个管理员帐户变量子集中的变量的访问权限。 接收到修改变量的正确子集中的变量的第二管理员访问请求,并且启动了一段时间后到期的访问定时器; 第一个管理员帐户的访问权限被禁用以响应访问定时器的到期; 并且响应于访问定时器的到期,启用第二管理员帐户的访问权限。
    • 9. 发明申请
    • GLOBAL NETWORK MONITORING
    • 全球网络监测
    • WO2010011897A2
    • 2010-01-28
    • PCT/US2009/051652
    • 2009-07-24
    • ZSCALER, INC.KAILASH, KailashCHAUDHRY, Jay
    • KAILASH, KailashCHAUDHRY, Jay
    • H04W24/10
    • H04L63/1425H04L43/00
    • Systems, methods and apparatus monitor networks to identify when the networks are not operating normally, for instance, because of malware. During a sample interval sample data is collected that corresponds to a plurality of system activities, the sample data collected from a plurality of monitored networks and representing normal operations of the plurality of monitored networks. Subsequent to the sample interval, observed data is collected from the plurality of monitored networks, the observed data corresponding to at least some of the system activities. A determination is made whether the observed data represents the normal operation of the monitored networks, and an alert is generated if the observed data does not represent the normal operation of the monitored networks.
    • 系统,方法和设备监控网络以识别网络何时由于恶意软件而不能正常运行。 在采样间隔期间,收集对应于多个系统活动的采样数据,采样数据从多个被监测的网络收集并且表示多个被监测的网络的正常操作。 在采样间隔之后,从多个被监测网络收集观测数据,观测数据对应于至少一些系统活动。 确定观测数据是否代表被监测网络的正常运行,如果观测数据不代表被监测网络的正常运行,则产生警报。