摘要:
A system for continuous monitoring and autonomous detection of patterns in the main memory subsystem of a computer system. The invention can be embodied as an extension to existing memory scrubbing hardware to permit stored code pattern analysis and identification during the autonomous transparent memory scrubbing process. A library of stored target signatures is provided to which code signatures are compared during analysis. Code signatures may be derived directly from the memory subsystem data pattern or may be indirectly and more efficiently derived from the error correction code (ECC) string associated with the stored data pattern. This invention is directly applicable to computer virus detection and neutralization systems.
摘要:
In a network-connected distributed system including nodes through which digital data flow, one or more of the nodes adapted to process the digital data, a method for efficiently managing the transmission of units of digital data from node to node, includes the steps of receiving, at one of the one or more nodes, units of digital data first transmitted by an originating node; filtering out sufficiently processed units of the digital data based on filtering information; transmitting, to the originating node and/or other nodes, filtered results relating to the sufficiently processed units; queuing, for processing at other nodes, unfiltered units of the digital data which are not filtered out; and updating the filtering information according to results of automatic processing performed in and received from the one of the one or more nodes and/or other nodes in the system.
摘要:
A method for operating a data processing system of a type that includes a first data processing entity located within a trusted environment and a second data processing entity located within an untrusted environment. The method includes a first step, executed at the first data processing entity, of operating a first software agent for detecting a presence of an information container of interest and for producing a modified information container by automatically identifying and at least one of removing, masking, or replacing at least one predetermined type of restricted or private information in the information container. A second step of the method transports the modified information container from the first data processing entity to the second data processing entity for further processing. The further processing may entail an analysis of the modified information container to locate and/or identify an undesirable software entity, such as a computer virus.
摘要:
In a network-connected distributed system including nodes through which digital data flow, one or more of the nodes adapted to process the digital data, a method for efficiently managing the transmission of units of digital data from node to node includes the steps of receiving, at one of the one or more nodes, units of digital data first transmitted by an originating node; queuing, for processing at other nodes, one or more units of the digital data; prioritizing the queued units of digital data for transmission to a next node based on prioritizing information; and updating the prioritizing information according to results of processing performed in and received from the one of the one or more nodes and/or other nodes in the system.
摘要:
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.
摘要:
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.
摘要:
The present invention provides a method of reducing the amount of memory required to scan a given data string for the presence of computer viruses or other data traits of interest including the steps of 1) loading into a memory of a computer a set of generic features that are functionally similar to standard computer virus signatures, but tend to be less specific to particular viruses, 2) locating occurrences of the generic features within the data string, 3) applying a first mapping from the occurrences located during step 2) to obtain a subset of standard signatures, 4) loading the subset of standard signatures into a memory of said computer, 5) locating occurrences within the data string of all signatures from the subset of standard signatures, and 6) applying a second mapping from the occurrences located during step 5) to identify a set of computer viruses that are likely to be present in the data string.
摘要:
Techniques for globally managing systems are provided. One or more measurable effects of at least one hypothetical action to achieve a management goal are determined at a first system manager. The one or more measurable effects are sent from the first system manager to a second system manager. At the second system manager, one or more procedural actions to achieve the management goal are determined in response to the one or more received measurable effects. The one or more procedural actions are executed to achieve the management goal.
摘要:
A method for detecting document-infecting computer viruses in a computer system having a plurality of documents, comprises the steps of maintaining a database of information associated with program objects associated with one or more of the documents, comparing one or more of the documents on the system with corresponding database entries in the database to detect certain document changes, and using a set of criteria to determine whether or not the detected document changes are likely to have been caused by viral activity.
摘要:
A method of assisting a user with the task of categorizing a received electronic document into a collection includes the steps of classifying the document to obtain one or more most likely categorical labels; displaying, to the user, a representation of the one or more most likely categorical labels; receiving data, from the user, representative of a selected categorical label; and labeling the document within the collection with the selected categorical label. The electronic document can include an electronic mail message, a web page bookmark, an audio file or a video file.