Abstract: A file stored in a first portion of a computer memory of a computer is determined to be a malicious file. A duplicate of the file is stored in a quarantine area in the computer memory, the quarantine area being in a second portion of the computer memory that is different from the first portion of the computer memory. One or more protection processes are performed on the file. The determination that the file is a malicious file is determined to be a false positive and the file is restored, during a boot sequence, to a state prior to the one or more protection processes being performed on the file.

Abstract: Certain embodiments herein relate to pairing an external device and a computer using a random user action. The random user action may be generated based on the type of device. After an external device is connected to the computer, the external device is segregated from one or more resources of the computer. A random user action based on the device type, and to be received from the external device, is generated and requested. If the random user action is received, the external device is paired with the computer and provided access to the one or more resources of the computer.

Abstract: A pluggable asset detection engine is used to identify devices within a network. The pluggable asset detection engine includes a set of pluggable discovery sensors and is adapted to identify particular address information of a particular computing device within a network, using a first pluggable discovery sensor in the set of discovery sensors, and send an identification of the particular address information of the particular computing device to an asset management system for inclusion of the particular address information in an asset repository managed by the asset management system.

Abstract: Particular embodiments described herein provide for an electronic device that can be configured to identify an application, run the application, log the parameters for each function call of the application, and store the logged parameters in an emulation table. The logged parameters can include a function call, input parameters, and output parameters. The emulation table can be used to simulate execution of an application without having to actually run the application.

Abstract: Disclosed are systems, apparatuses, computer readable media, and methods of using an adaptive (i.e., learning) client-server system to enhance the efficiency of sample submissions, e.g., the submission of samples of malware programs to a server dictionary. The server in such a system may accumulate a dictionary of known programs and/or portions of programs that have been submitted by many different client devices over time, representing all the various programs that they have encountered. If a portion of a particular file submission is already “available” to the server (i.e., it is a portion that the server has already analyzed and stored), it will be excluded from all future sample transmissions. The server will gradually accumulate a rich dictionary of common program portions, thus requesting transmission only of previously unseen portions. Such systems, apparatuses, computer readable media, and methods may therefore be used to reduce transmission times needed for future sample submissions.

Abstract: A collection of techniques allow for the detection of covert malware that attempts to hide its existence on a system by leveraging both trusted hardware event counters and the particular memory addresses (as well as the sequences of such addresses) of the instructions that are generating the suspected malicious activity. By monitoring the address distribution's specific patterns over time, one can build a behavioral model (i.e., “fingerprint”) of a particular process—and later attempt to match suspected malicious processes to the stored behavioral models. Whenever the actual measured behavior of a suspected malicious process fails to match said stored behavioral models, the system or system administrator may attempt to perform rehabilitative actions on the computer system to locate and remove the malware hiding on the system.

Abstract: A system, method and computer program product are provided for scanning data received from a computer network. Included is a central processing unit for processing data. Coupled between the central processing unit and a network is a network processor. Such network processor is capable of scanning data received from the network based on an update. Such network processor is further capable of receiving the update via the network.

Abstract: An apparatus, computer readable medium, and method are provided in one example embodiment and include a network device, an analysis module, and a tag module. The analysis module may be configured to perform a number of actions on the network data to identify network information about the network data. The tag module may be configured to determine whether a destination for the network data is within a set of destinations; and responsive to a determination that the destination for the network data is within the set of destinations: generate a metadata tag based on the network information, associate the metadata tag with the network data, and transmit the network information and the metadata tag.

Abstract: A system, method and computer program product are provided for securing a game console capable of processing game-related data. In use, the game-related data is scanned for detecting malware. Additionally, the game-related data is scanned for detecting spyware. Further, parental controls are executed during use of the game console.

Abstract: A method in one example implementation includes receiving information related to a network access attempt on a first computing device with the information identifying a software program file associated with the network access attempt. The method also includes evaluating a first criterion to determine whether network traffic associated with the software program file is permitted and then creating a restriction rule to block the network traffic if the network traffic is not permitted. The first criterion includes a trust status of the software program file. In specific embodiments, the method includes pushing the restriction rule to a network protection device that intercepts the network traffic associated with the software program file and applies the restriction rule to the network traffic. In more specific embodiments, the method includes searching a whitelist identifying trustworthy software program files to determine the trust status of the software program file.

Abstract: A system, method and computer program product are provided. In use, execution of a portion of internal code of an interface is identified. Further, in response to the execution of the portion of internal code, at least one aspect of an invocation of the interface is monitored and/or analyzed.