Loading patent…
AssigneeThe Commonwealth of Australia
InventorsMark Stephen Anderson, Dean Crawford Engelhardt, Damian Andrew Marriott, Suneel Singh Randhawa
Estimating the term…
A system for data processing ad observation having a data processing architecture comprising, one or more data processing components associated with a logical level such that a data processing, component associated with logical level only accepts input from one or more data processing, components in a logically higher or lower logical level or an external source; a data processing component associated with a logical level only provides output to one or more data processing components in a logically higher or lower level or an external recipient system; wherein a data processing component cant not accept input or provide output from or to a data processing component in the same logical level; and a data processing, component will only accept an input that conforms to an ontology related to the logical level with which the data processing, component is associated; one or more external sources that provide data; and in external recipient system for observing one or more human observable virtual objects that are mapped from a representation of a real or virtual object to a virtual object in one or more universes.
A system for data processing and observation having
A system for event processing and observation having
A system for observing one or more human observable virtual objects
A system for data processing and event handling and observation having
A system for data processing and event handling having
Dependencies are inferred from the claim text.
Drawings are temporarily unavailable. Open the PDF at USPTO
From the US filing history. Foreign family members aren’t listed.
Backward citations are indexed for grants only.
Drawing from basic elements: drawing of charts or graphs
Display of status information: computer systems status display
Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of…:…
Performance evaluation by tracing or monitoring: for systems
Term end not estimated
Shapes Vector is the name given by the inventors to a particular collection of highly versatile but independent systems that can be used to make real world systems observable by a human operator. By providing an observation system the human may be able to detect using one or more of their senses anomalies and the like in the real world system. More particularly, the invention/s disclosed herein are in the field of information observation and management.
To assist the reader, a particular combination of these elements is described in an example. The example is in the field of computer network intrusion detection, network security management and event surveillance in computer networks. It will however be apparent to those skilled in the art that the elements herein described can exist and operate separately and in different fields and combinations to that used in the example.
The different system elements developed by the inventors are the result of the use of several unusual paradigms that while separately make a their contribution also act synergistically to enhance the overall performance and utility of the arrangement they form part of.
The knowledge-processing elements of the Shapes Vector system incorporate a broad variety of tools and techniques, some novel and some traditional, which combine to enact a flexible and powerful paradigm for multi-abstractional reasoning. The central feature of the approach disclosed herein is the methodology of bridging broad semantic gaps (in the embodiment described that is illustrated, from very simple observations about a computer network to high-level statements about the state of that network) by decomposition into a series of abstraction layers. This specification describes this layered architecture and also provides details about the forms of abstraction provided at the first three layers. These include epistemic logics for possiblistic reasoning (at level 2) and probabilistic reasoning (at level 3).
The key feature of the disclosed knowledge architecture that avoids difficulties of context sensitivity and ambiguity is its simple set of structuring rules. These provide strict guidelines for placement of agents within abstractional layers and limit the patterns of communication between agents (preferably prohibiting intra-level communication as well as insisting on passing through an ontology between layers).
Experience with building and using the Intelligent Agent Architecture it has shown it to be highly flexible, with the incorporation of “foreign” knowledge processing tools into the Shapes Vector Gestalt proving a “simple” exercise. The architecture has also shown itself to provide great potential for approaching knowledge-based deductive solutions to complex problems not only in the domain of computer security but also in many other domains, both related and unrelated.