摘要:
First stage meta-events are generated based on analyzing time attributes of base events received from a network component. Second stage meta-events are generated based on a number of the first stage meta-events that have a time attribute falling within a time period. An amount of time that has passed since a most-recent second stage meta-event was generated is determined, and if a threshold time period does not exceed the amount of time that has passed since the most-recent second stage meta-event was detected, a third stage meta-event is determined.
摘要:
A rules engine with support for time-based rules is disclosed. A method performed by the rules engine, comprises receiving security events generated by a number of network devices. The security events are aggregated. One or more time-based rules are provided to a RETE engine. The aggregated security events are provided to the RETE engine at specific times associated with the time-based rules. The security events are cross-correlated with the one or more time-based rules; and one or more first stage meta-events are reported.
摘要:
A network security system is provided that receives information from various sensors and can analyse the received information. In one embodiment of the present invention, such a system receives a security event from a software agent. The received security event includes a target address and an event signature, as generated by the software agent. The event signature can be used to determine a set of vulnerabilities exploited by the received security event, and the target address can be used to identify a target asset within the network. By accessing a model of the target asset, a set of vulnerabilities exposed by the target asset can be retrieved. Then, a threat can be detected by comparing the set of vulnerabilities exploited by the security event to the set of vulnerabilities exposed by the target asset.
摘要:
A network security system is provided that receives information from various sensors and can analyze the received information. In one embodiment of the present invention, such a system receives a security event from a software agent. The received security event includes a target address and an event signature, as generated by the software agent. The event signature can be used to determine a set of vulnerabilities exploited by the received security event, and the target address can be used to identify a target asset within the network. By accessing a model of the target asset, a set of vulnerabilities exposed by the target asset can be retrieved. Then, a threat can be detected by comparing the set of vulnerabilities exploited by the security event to the set of vulnerabilities exposed by the target asset.
摘要:
A selected time interval of previously stored events generated by a number of computer network devices are replayed and cross-correlated according to rules. Meta-events are generated when the events satisfy conditions associated with one or more of the rules. The rules used during replay may differ from prior rules used at a time when the events occurred within a computer network that included the computer network devices. In this way, new rules can be tested against true event data streams to determine whether or not the rules should be used in a live environment (i.e., the efficacy of the rules can be tested an tor debugged against actual event data).
摘要:
A selected time interval of previously stored events generated by a number of computer network devices are replayed and cross-correlated according to rules. Meta-events are generated when the events satisfy conditions associated with one or more of the rules. The rules used during replay may differ from prior rules used at a time when the events occurred within a computer network that included the computer network devices. In this way, new rules can be tested against true event data streams to determine whether or not the rules should be used in a live environment (i.e., the efficacy of the rules can be tested and/or debugged against actual event data).
摘要:
A selected time interval of previously stored security events generated by a number of computer network devices are replayed and cross-correlated according to rules defining security incidents. Meta-events are generated when the security events satisfy conditions associated with one or more of the rules. The rules used during replay may differ from prior rules used at a time when the security events occurred within a computer network that included the computer network devices. In this way, new rules can be tested against true security event data streams to determine whether or not the rules should be used in a live environment (i.e., the efficacy of the rules can be tested and/or debugged against actual security event data).
摘要:
A method and system for anonymizing data to be transmitted to a destination computing device is disclosed. Data to be transmitted is received from a user computer. The data includes a plurality of fields of data. One or more fields of data are selected for anonymization. The selected one or more fields are anonymized. The data with one or more fields anonymized is transmitted to the destination computing device.
摘要:
A method and system for anonymizing data to be transmitted to a destination computing device is disclosed. Anonymization strategy for data anonymization is provided. Data to be transmitted is received from a user computer. Selective anonymization of the data is performed, based on the anonymization strategy, using an anonymization module. Anonymized data is transmitted to the destination computing device over a network.
摘要:
A network security system can have a plurality of distributed software agents configured to collect security events from network devices. In one embodiment, the agents are configured to aggregate the security events. In one embodiment of the present invention, an agent includes a device interface to receive a security event from a network device, a plurality of aggregation profiles, and an agent aggregate module to select one of the plurality of aggregation profiles, and increment an event count of an aggregate event representing the received security event using the selected aggregation profile.