摘要:
Methods, systems, and media for enabling a software application to recover from a fault condition, and for protecting a software application from a fault condition, are provided. In some embodiments, methods include detecting a fault condition during execution of the software application, restoring execution of the software application to a previous point of execution, the previous point of execution occurring during execution of a first subroutine in the software application, and forcing the first subroutine to forego further execution and return to a caller of the first subroutine.
摘要:
A method for detecting intrusions in the operation of a computer system is disclosed which comprises gathering features from records of normal processes that access the files system of the computer, such as the Windows registry, and generating a probabilistic model of normal computer system usage based on occurrences of said features. The features of a record of a process that accesses the Windows registry are analyzed to determine whether said access to the Windows registry is an anomaly. A system is disclosed, comprising a registry auditing module configured to gather records regarding processes that access the Windows registry; a model generator configured to generate a probabilistic model of normal computer system usage based on records of a plurality of processes that access the Windows registry and that are indicative of normal computer system usage; and a model comparator configured to determine whether the access of the Windows registry is an anomaly.
摘要:
Systems and methods for correlating and distributing intrusion alert information among collaborating computer systems are provided. These systems and methods provide an alert correlator and an alert distributor that enable early signs of an attack to be detected and rapidly disseminated to collaborating systems. The alert correlator utilizes data structures to correlate alert detections and provide a mechanism through which threat information can be revealed to other collaborating systems. The alert distributor uses an efficient technique to group collaborating systems and then pass data between certain members of those groups according to a schedule. In this way data can be routinely distributed without generating excess traffic loads.
摘要:
Methods, systems, and media for masquerade attack detection by monitoring computer user behavior are provided. In accordance with some embodiments, a method for detecting masquerade attacks is provided, the method comprising: monitoring a first plurality of user actions and access of decoy information in a computing environment; generating a user intent model for a category that includes at least one of the first plurality of user actions; monitoring a second plurality of user actions; comparing the second plurality of user actions with the user intent model by determining deviation from the generated user intent model; identifying whether the second plurality of user actions is a masquerade attack based at least in part on the comparison; and generating an alert in response to identifying that the second plurality of user actions is the masquerade attack and in response to determining that the second plurality of user actions includes accessing the decoy information in the computing environment.
摘要:
Systems and methods for correlating and distributing intrusion alert information among collaborating computer systems are provided. These systems and methods provide an alert correlator and an alert distributor that enable early signs of an attack to be detected and rapidly disseminated to collaborating systems. The alert correlator utilizes data structures to correlate alert detections and provide a mechanism through which threat information can be revealed to other collaborating systems. The alert distributor uses an efficient technique to group collaborating systems and then pass data between certain members of those groups according to a schedule. In this way data can be routinely distributed without generating excess traffic loads.
摘要:
A method for detecting surveillance activity in a computer communication network comprising automatic detection of malicious probes and scans and adaptive learning. Automatic scan/probe detection in turn comprises modeling network connections, detecting connections that are likely probes originating from malicious sources, and detecting scanning activity by grouping source addresses that are logically close to one another and by recognizing certain combinations of probes. The method is implemented in a scan/probe detector, preferably in combination with a commercial or open-source intrusion detection system and an anomaly detector. Once generated, the model monitors online activity to detect malicious behavior without any requirement for a priori knowledge of system behavior. This is referred to as “behavior-based” or “mining-based detection.” The three main components may be used separately or in combination with each other. The alerts produced by each may be presented to an analyst, used for generating reports (such as trend analysis), or correlated with alerts from other detectors. Through correlation, the invention prioritizes alerts, reduces the number of alerts presented to an analyst, and determines the most important alerts.
摘要:
Methods, systems, and media for providing trap-based defenses are provided. In accordance with some embodiments, a method for providing trap-based defenses is provided, the method comprising: generating decoy information based at least in part on actual information in a computing environment, wherein the decoy information is generated to comply with one or more document properties; embedding a beacon into the decoy information; and inserting the decoy information with the embedded beacon into the computing environment, wherein the embedded beacon provides a first indication that the decoy information has been accessed by an attacker and wherein the embedded beacon provides a second indication that differentiates between the decoy information and the actual information.
摘要:
A system and methods of detecting an occurrence of a violation of an email security policy of a computer system. A model relating to the transmission of prior emails through the computer system is defined which is derived from statistics relating to the prior emails. For selected emails to be analyzed, statistics concerning the selected email are gathered. Such statistics may refer to the behavior or other features of the selected emails, attachments to emails, or email accounts. The determination of whether a violation of an email security policy has occurred is performed by applying the model of prior email transmission to the statistics relating to the selected email. The model may be statistical or probabilistic. A model of prior email transmission may include grouping email recipients into cliques. A determination of a violation of a security policy may occur if email recipients for a particular email are in more than one clique.
摘要:
Systems, methods, and media for generating bait information for trap-based defenses are provided. In some embodiments, methods for generating bait information for trap-based defenses include: recording historical information of a network; translating the historical information; and generating bait information by tailoring the translated historical information.