Michael M Roytman

US Patent:

20020012011, Jan 31, 2002

Filed:

Dec 4, 1998

Appl. No.:

09/205911

Inventors:

MICHAEL ROYTMAN - GLENVIEW IL, US
PLAMEN PETROV - BARRINGTON IL, US

International Classification:

G09G005/00

US Classification:

345/736000, 345/784000, 709/224000

Abstract:

The alarm manager display in a distributed network management system is arranged to have two modes of operation. In one mode of operation, the alarm manager display automatically scrolls when new events arrive. If there are sorting criteria defined, the alarm manager window scrolls either up or down depending on the sort order so that when new events arrive, they always appear on the screen. In the second mode of operation, the alarm manager window does not scroll when new events arrive. The scroll bar operational modes are selectable by an operator from a menu. In accordance with another embodiment, a special attribute is added to the alarm manager configuration file. This attribute is read when the alarm manager is started and places the alarm manager into the operational mode in which it was last used.

US Patent:

20220207152, Jun 30, 2022

Filed:

Mar 14, 2022

Appl. No.:

17/693502

Inventors:

- Chicago IL, US
Michael Roytman - Chicago IL, US
Jeffrey Heuer - New York NY, US

International Classification:

G06F 21/57
G06N 20/00

Abstract:

Generation of one or more models is caused based on selecting training data comprising a plurality of features including a prevalence feature for each vulnerability of a first plurality of vulnerabilities. The one or more models enable predicting whether an exploit will be developed for a vulnerability and/or whether the exploit will be used in an attack. The one or more models are applied to input data comprising the prevalence feature for each vulnerability of a second plurality of vulnerabilities. Based on the application of the one or more models to the input data, output data is received. The output data indicates a prediction of whether an exploit will be developed for each vulnerability of the second plurality. Additionally or alternatively, the output data indicates, for each vulnerability of the second plurality, a prediction of whether an exploit that has yet to be developed will be used in an attack.

US Patent:

20200401704, Dec 24, 2020

Filed:

Aug 31, 2020

Appl. No.:

17/008515

Inventors:

- Chicago IL, US
Michael Roytman - Chicago IL, US
Jeffrey Heuer - New York NY, US

International Classification:

G06F 21/57
G06N 20/00

Abstract:

Generation of one or more models is caused based on selecting training data comprising a plurality of features including a prevalence feature for each vulnerability of a first plurality of vulnerabilities. The one or more models enable predicting whether an exploit will be developed for a vulnerability and/or whether the exploit will be used in an attack. The one or more models are applied to input data comprising the prevalence feature for each vulnerability of a second plurality of vulnerabilities. Based on the application of the one or more models to the input data, output data is received. The output data indicates a prediction of whether an exploit will be developed for each vulnerability of the second plurality. Additionally or alternatively, the output data indicates, for each vulnerability of the second plurality, a prediction of whether an exploit that has yet to be developed will be used in an attack.

US Patent:

20200110885, Apr 9, 2020

Filed:

Dec 9, 2019

Appl. No.:

16/708292

Inventors:

- Chicago IL, US
Michael Roytman - Chicago IL, US
David Bortz - Highland Park IL, US
Jared Davis - Chicago IL, US

International Classification:

G06F 21/57
G06N 20/00
G06F 16/9032
G06F 16/903

Abstract:

Techniques related to vulnerability assessment based on machine inference are disclosed. A vulnerability assessment server may receive, from a client device, a set of metadata corresponding to a program stored on the client device. Further, the vulnerability assessment server may extract a program name from the set of metadata. Still further, the vulnerability assessment server may determine one or more vulnerabilities of the program based on searching for the program name in one or more storage systems that maintain sets of vulnerability data.

US Patent:

20190163917, May 30, 2019

Filed:

Oct 12, 2018

Appl. No.:

16/158873

Inventors:

- Chicago IL, US
Michael Roytman - Chicago IL, US
Jeffrey Heuer - New York NY, US

International Classification:

G06F 21/57
G06F 15/18

Abstract:

Generation of one or more models is caused based on selecting training data comprising a plurality of features including a prevalence feature for each vulnerability of a first plurality of vulnerabilities. The one or more models enable predicting whether an exploit will be developed for a vulnerability and/or whether the exploit will be used in an attack. The one or more models are applied to input data comprising the prevalence feature for each vulnerability of a second plurality of vulnerabilities. Based on the application of the one or more models to the input data, output data is received. The output data indicates a prediction of whether an exploit will be developed for each vulnerability of the second plurality. Additionally or alternatively, the output data indicates, for each vulnerability of the second plurality, a prediction of whether an exploit that has yet to be developed will be used in an attack.

US Patent:

20170123643, May 4, 2017

Filed:

Dec 17, 2015

Appl. No.:

14/973279

Inventors:

- Chicago IL, US
Michael ROYTMAN - Chicago IL, US
Jennifer Paige GRIFFIN - Chicago IL, US

International Classification:

G06F 3/0484
H04L 29/08
G06F 17/30
G06F 9/44
G06F 17/24

Abstract:

The technology presented here enables low skilled administrators to design a hierarchical survey, low skilled field agents to collect answers to the hierarchical survey, and low skilled field managers to manage and monitor the progress of the field agents. The hierarchical surveys designed can be complex hierarchical surveys comprising multi-stage sampling units. The graphical user interfaces presented to the users are easy to use, and hide the complexity of the hierarchical survey. The user devices can communicate with each other to transmit the hierarchical surveys and the answers received to the hierarchical surveys using peer-to-peer networks, in environments where there is low, or no Internet connectivity.