Abstract: Disclosed are computer program products, systems, and methods for transmitting, storing, and intermixing separate data sources. First source data and second source data are split into microshard data fragments that are less than a maximum size. One of the microshard data fragments is selected. A pointer value is determined. The pointer value identifies a location for at least one external storage resource, a file or object on the external storage resource, and a location in the file or object for storing the selected microshard data fragment. At least part of the pointer value is stored in a distinct storage resource that does not include the microshard data fragments.

Abstract: A set of methods are proposed to increase data security, both in motion and at rest, by creating microshard data fragments. Microshard data fragments are subsets of a data file which are smaller than a defined atomic unit of value (e.g. a fraction of the size of a social security number or valuable password that one seeks to protect). These microshard data fragments are then dispersed across several physical locations, obscuring the value. Additional techniques are proposed to further frustrate unauthorized reassembly attempts and to create system efficiencies.

Abstract: Methods, apparatuses and systems are defined for the efficient identification and location of changes in an electronic file by defining and applying a set of overlapping unique areas within the file. A signature for each unique area or bubble is determined and compared to the signature of the same set of unique areas applied to a target file.

Abstract: A system, method, and apparatus are defined that increase data security by offering a frequently changing Authorization Token that includes user-modifiable criteria. Without validation of the Authorization Token, a personal identifier, such as a Social Security Number or account number, is not accepted as a means to transact business or release information. A single mechanism allows both authentication of the owner of a personal identifier and the owner's ability to specify whether and how its use is authorized.

Abstract: A set of methods are proposed to increase data security, both in motion and at rest, by creating microshard data fragments. Microshard data fragments are subsets of a data file which are smaller than a defined atomic unit of value (e.g. a fraction of the size of a social security number or valuable password that one seeks to protect). These microshard data fragments are then dispersed across several physical locations, obscuring the value. Additional techniques are proposed to further frustrate unauthorized reassembly attempts and to create system efficiencies.

Abstract: Disclosed herein are system, method, and computer program product embodiments for crowdsourcing e-mail filtering. An embodiment operates by receiving an input from a community member indicating that an e-mail received by the community member is unwanted, counting a number of inputs received from community members indicating that e-mail is unwanted based on one or more criteria, flagging future e-mails based on the criteria when the number of inputs counted reaches a threshold for penalizing an originator or a group associated with the originator of the unwanted e-mail, and denying delivery of future e-mails from the originator or the group associated with the originator until a penalty period expires.

Abstract: Disclosed herein are system, method, and computer program product embodiments for crowdsourcing e-mail filtering. An embodiment operates by receiving an input from a community member indicating that an e-mail received by the community member is unwanted, counting a number of inputs received from community members indicating that e-mail is unwanted based on one or more criteria, flagging future e-mails based on the criteria when the number of inputs counted reaches a threshold for penalizing an originator or a group associated with the originator of the unwanted e-mail, and denying delivery of future e-mails from the originator or the group associated with the originator until a penalty period expires.

Abstract: Methods and systems are described for reducing the number of false alarms in fault correlation software used to detect and diagnose faults in computer networks and similar systems. The fault correlation software includes rules that monitor a number of indicators that, if occurring together over a window of time, are known to cause or reflect the occurrence of a fault. The method involves monitoring the transition of these indicators from one state to another over the time window and determining the extent of the correlation of the transitions of the indicators. The determination that indicators monitored by a rule do not correlate closely in their transitions is used to reduce the likelihood of the rule finding correlation of the indicators as a whole. This in turn reduces the number of false alarms which the rule-based system might otherwise have transmitted.

Abstract: Methods and systems are described for reducing the number of false alarms in fault correlation software used to detect and diagnose faults in computer networks and similar systems. The fault correlation software includes rules that monitor a number of indicators that, if occurring together over a window of time, are known to cause or reflect the occurrence of a fault. The method involves monitoring the transition of these indicators from one state to another over the time window and determining the extent of the correlation of the transitions of the indicators. The determination that indicators monitored by a rule do not correlate closely in their transitions is used to reduce the likelihood of the rule finding correlation of the indicators as a whole. This in turn reduces the number of false alarms which the rule-based system might otherwise have transmitted.

Abstract: Methods and systems are described for reducing the number of false alarms in fault correlation software used to detect and diagnose faults in computer networks and similar systems. The fault correlation software includes rules that monitor a number of indicators that, if occurring together over a window of time, are known to cause or reflect the occurrence of a fault. The method involves monitoring the transition of these indicators from one state to another over the time window and determining the extent of the correlation of the transitions of the indicators. The determination that indicators monitored by a rule do not correlate closely in their transitions is used to reduce the likelihood of the rule finding correlation of the indicators as a whole. This in turn reduces the number of false alarms which the rule-based system might otherwise have transmitted.

Abstract: Methods and systems are described for reducing the number of false alarms in fault correlation software used to detect and diagnose faults in computer networks and similar systems. The fault correlation software includes rules that monitor a number of indicators that, if occurring together over a window of time, are known to cause or reflect the occurrence of a fault. The method involves monitoring the transition of these indicators from one state to another over the time window and determining the extent of the correlation of the transitions of the indicators. The determination that indicators monitored by a rule do not correlate closely in their transitions is used to reduce the likelihood of the rule finding correlation of the indicators as a whole. This in turn reduces the number of false alarms which the rule-based system might otherwise have transmitted.