The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Sep. 06, 2016

Filed:

Jul. 15, 2013
Applicant:

Fred Herz Patents, Llc, Milton, WV (US);

Inventor:

Frederick S. M. Herz, Milton, WV (US);

Assignee:

Fred Herz Patents, LLC, Milton, WV (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
H04L 29/06 (2006.01); G06Q 20/20 (2012.01); H04L 12/24 (2006.01);
U.S. Cl.
CPC ...
H04L 63/1433 (2013.01); G06Q 20/201 (2013.01); H04L 41/147 (2013.01); H04L 41/16 (2013.01); H04L 63/145 (2013.01); H04L 41/0853 (2013.01);
Abstract

A distributed multi-agent system and method is implemented and employed across at least one intranet for purposes of real time collection, monitoring, aggregation, analysis and modeling of system and network operations, communications, internal and external accesses, code execution functions, network and network resource conditions as well as other assessable criteria within the implemented environment. Analytical models are constructed and dynamically updated from the data sources so as to be able to rapidly identify and characterize conditions within the environment (such as behaviors, events, and functions) that are typically characteristic with that of a normal state and those that are of an abnormal or potentially suspicious state. The model is further able to implement statistical flagging functions, provide analytical interfaces to system administrators and estimate likely conditions that characterize the state of the system and the potential threat. The model may further recommend (or alternatively implement autonomously or semi-autonomously) optimal remedial repair and recovery strategies as well as the most appropriate countermeasures to isolate or neutralize the threat and its effects.


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