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    • 8. 发明授权
    • Method and apparatus for detecting a presence of a computer virus
    • 用于检测计算机病毒存在的方法和装置
    • US5907834A
    • 1999-05-25
    • US619866
    • 1996-03-18
    • Jeffrey Owen KephartGregory Bret SorkinGerald James TesauroSteven Richard White
    • Jeffrey Owen KephartGregory Bret SorkinGerald James TesauroSteven Richard White
    • G06F1/00G06F21/00G06F15/18G06F11/00
    • G06F21/564
    • A data string is a sequence of atomic units of data that represent information. In the context of computer data, examples of data strings include executable programs, data files, and boot records consisting of sequences of bytes, or text files consisting of sequences of bytes or characters. The invention solves the problem of automatically constructing a classifier of data strings, i.e., constructing a classifier which, given a string, determines which of two or more class labels should be assigned to it. From a set of (string, class-label) pairs, this invention provides an automated technique for extracting features of data strings that are relevant to the classification decision, and an automated technique for developing a classifier which uses those features to classify correctly the data strings in the original examples and, with high accuracy, classify correctly novel data strings not contained in the example set. The classifier is developed using "adaptive" or "learning" techniques from the domain of statistical regression and classification, such as, e.g., multi-layer neural networks. As an example, the technique can be applied to the task of distinguishing files or boot records that are infected by computer viruses from files or boot records that are not infected.
    • 数据串是表示信息的数据的原子单元的序列。 在计算机数据的上下文中,数据串的示例包括由字节序列组成的可执行程序,数据文件和引导记录,或由字节或字符序列组成的文本文件。 本发明解决了自动构建数据串分类器的问题,即,构建一个分类器,给定一个字符串,确定应该分配两个或多个类标签中的哪一个。 本发明从一组(串,类标签)对提供了一种用于提取与分类决定相关的数据串的特征的自动化技术,以及用于开发分类器的自动化技术,其使用这些特征来正确地分类数据 原始示例中的字符串,并且具有高精度,正确地分类示例集中未包含的新颖数据字符串。 分类器是使用“自适应”或“学习”技术从统计回归和分类领域开发的,例如多层神经网络。 例如,该技术可以应用于区分受计算机病毒感染的文件或引导记录的文件或未被感染的引导记录的任务。
    • 10. 发明授权
    • Approach to monitor application states for self-managing systems
    • 监控自我管理系统的应用状态的方法
    • US07487494B2
    • 2009-02-03
    • US10909760
    • 2004-08-02
    • Hoi Yeung ChanTrieu C ChieuJeffrey Owen Kephart
    • Hoi Yeung ChanTrieu C ChieuJeffrey Owen Kephart
    • G06F9/44
    • G06F8/316G06F2209/542
    • The present invention is directed to systems and methods that treat the monitoring of a software application as a separate and independent concern from the software application itself. The present invention utilizes aspect oriented programming to intercept, analyze, decompose the application states of a software application and then to link appropriate non-invasive constructs into the software application code to provide application state information to an autonomic manager through a plurality of sensors. The autonomic manager analyzes the application state information for compliance pre-defined parameters, and takes appropriate corrective action including modifying the software application states using a plurality of effectors. The sensors and effectors are linked as non-invasive constructs to the software application, and in aspect oriented programming constitute aspects. In order to prevent any adverse or undesirable effects to the software application as a result of the application state analysis and selected action, a safety mechanism is included in communication with the effectors.
    • 本发明涉及将软件应用程序的监视视为与软件应用程序本身的独立和独立关注的系统和方法。 本发明利用面向方面的编程来拦截,分析,分解软件应用的应用状态,然后将适当的非侵入性结构链接到软件应用代码中,以通过多个传感器向自主管理器提供应用状态信息。 自主管理器分析合规性预定义参数的应用状态信息,并采取适当的纠正措施,包括使用多个效果器修改软件应用状态。 传感器和效应器作为非侵入式构造链接到软件应用程序,并且面向方面的编程构成方面。 为了防止由于应用状态分析和选择的动作而对软件应用产生不利或不良影响,安全机制被包括在与效果器的通信中。