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SYSTEM AND METHODS FOR ADAPTIVE MODEL GENERATION FOR DETECTING INTRUSION IN COMPUTER SYSTEMS

机译:用于在计算机系统中检测入侵的自适应模型生成的系统和方法

摘要

A system and methods for detecting intrusions in the operation of a computer system comprises a sensor configured to gather information regarding the operation of the computer system, to format the information in a data record having a predetermined format, and to transmit the data in the predetermined data format. A data warehouse is configured to receive the data record from the sensor in the predetermined data format and to store the data in a SQL database. A detection model generator is configured to request data records from the data warehouse in the predetermined data format, to generate an intrusion detection model based on said data records, and to transmit the intrusion detection model to the data warehouse according to the predetermined data format. A detector is configured to receive a data record in the predetermined data format from the sensor and to classify the data record in real-time as one of normal operation and an attack based on said intrusion detection model. A data analysis engine is configured to request data records from the data warehouse according to the predetermined data format and to perform a data processing function on the data records.
机译:一种用于检测计算机系统的操作中的入侵的系统和方法,包括传感器,该传感器被配置为收集关于计算机系统的操作的信息,以具有预定格式的数据记录格式化该信息,并以该预定格式发送数据。数据格式。数据仓库被配置为以预定的数据格式从传感器接收数据记录,并将数据存储在SQL数据库中。检测模型生成器被配置为以预定的数据格式从数据仓库请求数据记录,基于所述数据记录生成入侵检测模型,并且根据预定的数据格式将入侵检测模型发送到数据仓库。检测器配置为从传感器接收具有预定数据格式的数据记录,并基于所述入侵检测模型将数据记录实时分类为正常操作和攻击之一。数据分析引擎被配置为根据预定的数据格式从数据仓库请求数据记录,并对数据记录执行数据处理功能。

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