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    • 2. 发明授权
    • Automated identification of image outliers
    • 自动识别图像异常值
    • US08463026B2
    • 2013-06-11
    • US12975684
    • 2010-12-22
    • Marcelo De BarrosSatya Pradeep KanduriNabeel KaushalMikhail ParakhinManish MittalAdam Edlavitch
    • Marcelo De BarrosSatya Pradeep KanduriNabeel KaushalMikhail ParakhinManish MittalAdam Edlavitch
    • G06K9/00
    • G06K9/6265G06F17/30247G06F17/30864G06K9/6284
    • Outlier images—those images that differ substantially from other images in a set—can be automatically identified. One or more penalty values can be assigned to each image that quantifies how different that image is from others in the set. A threshold can be determined based on the set of penalty values. Each image whose penalty values are above the threshold is an outlier image. The penalty values can be the sum of per-pixel penalty values multiplied by the number of pixels with nonzero penalty values. A per-pixel penalty value can be the difference between a color value for that pixel and a predetermined range of color values, based on corresponding pixels in other images. The per-pixel penalty value can be determined for each component color and then optionally summed together. The threshold penalty values can be adjusted to provide for greater, or less, sensitivity to differences among the images.
    • 离群图像 - 可以自动识别那些与集合中的其他图像显着不同的图像。 可以为每个图像分配一个或多个惩罚值,以量化该图像与该组中的其他图像的不同。 可以基于惩罚值集合来确定阈值。 惩罚值高于阈值的每个图像是异常值图像。 惩罚值可以是每像素惩罚值乘以具有非零惩罚值的像素数的总和。 基于其他图像中的相应像素,每像素惩罚值可以是该像素的颜色值与颜色值的预定范围之间的差。 可以为每个分量颜色确定每像素罚分值,然后可选地将其相加。 可以调整阈值惩罚值以对图像之间的差异提供更大或更小的灵敏度。
    • 5. 发明申请
    • ADAPTIVE FUZZING SYSTEM FOR WEB SERVICES
    • 用于WEB服务的自适应FUZZING系统
    • US20130205397A1
    • 2013-08-08
    • US13367381
    • 2012-02-07
    • Marcelo De BarrosMichael AndrewsManish MittalGirish Bablani
    • Marcelo De BarrosMichael AndrewsManish MittalGirish Bablani
    • G06F21/00
    • H04L63/1433G06F21/577G06F2221/2101H04L67/02
    • Web applications, systems and services, which are prone to cyber-attacks, can utilize an adaptive fuzzing system and methodology to intelligently employ fuzzer technology to test web site pages for vulnerabilities. A breadth first search and minimal fuzzing testing is performed on identified pages of a web site looking for either a vulnerability or the potential for a vulnerability. Heuristics are gathered and/or generated on each tested web page to determine a vulnerability score for the page that is an indication of the page's potential for hosting a vulnerability. When a page is discovered with a vulnerability score that indicates the page has the potential for a vulnerability a depth first search and expanded fuzzing testing is performed on one or more branches of the web site that begin with the page with the potential vulnerability.
    • 易于网络攻击的Web应用程序,系统和服务可以利用自适应模糊系统和方法来智能地使用fuzzer技术来测试网站页面的漏洞。 在网站的识别页面上进行广泛的首次搜索和最小的模糊测试,以寻找脆弱性或潜在的漏洞。 在每个测试的网页上收集和/或生成启发式算法,以确定页面的漏洞得分,这是该页面可能承载漏洞的可能性。 当发现具有指示页面具有漏洞的漏洞分数的页面时,将在具有潜在漏洞的页面开始的网站的一个或多个分支上执行深度优先搜索和扩展的模糊测试。
    • 7. 发明授权
    • Failure simulation and availability report on same
    • 故障模拟和可用性报告相同
    • US08010325B2
    • 2011-08-30
    • US12109368
    • 2008-04-25
    • Marcelo M. De BarrosHui ShiJoseph ForsmannManish Mittal
    • Marcelo M. De BarrosHui ShiJoseph ForsmannManish Mittal
    • G06F17/50G06F9/445
    • G06F11/3409G06F11/261G06F11/3433G06F11/3457G06F2201/87G06F2201/88
    • A simulation may be performed to assess availability of a service in the event of various types of failures. A specification may describe a behavior to be induced on a machine, and a formula under which availability is to be measured. A controller processes the specification and dispatches a request to induce the behavior to a machine on which the behavior is to be induced. An agent on that machine may look up a routine in a simulation library and may use the routine to induce the behavior. Data, such as performance counter values, are collected before, during, and/or after occurrence of the behavior, and are transmitted back to the controller. A report generator applies the formula contained in the specification to the data received to calculate the availability metric, and produces a report containing that metric.
    • 可以执行模拟以评估在各种类型的故障的情况下服务的可用性。 规范可以描述在机器上诱导的行为,以及要测量可用性的公式。 控制器处理规范并且发送请求以将行为引导到要在其上引发行为的机器上。 该机器上的代理程序可以在模拟库中查找例程,并且可以使用例程来引发该行为。 诸如性能计数器值之类的数据在行为发生之前,期间和/或之后被收集,并被传送回控制器。 报告生成器将规范中包含的公式应用于接收的数据以计算可用性度量,并生成包含该度量标准的报告。