AUTOMATED AUTHENTICATION AND ACCESS

• US 20190325124A1
• Filed: 07/02/2019
• Published: 10/24/2019
• Est. Priority Date: 06/29/2017
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Ciano, Giuseppe, Della Corte, Gianluca, Longobardi, Giuseppe, Sgro, Antonio M.
• Granted Patent: US 11,062,007 B2
• Time in Patent Office: Days
• CPC Class Codes: G06F 21/32 using biometric data, e.g. fingerprints, iris scans or voiceprints
• CPC Class Codes: G06F 21/44 Program or device authentication
• CPC Class Codes: H04L 63/0861 using biometrical features, e.g. fingerprint, retina-scan cryptographic mechanisms or cryptographic arrangements for entity authentication using biological data H04L9/3231
• CPC Class Codes: H04L 63/10 for controlling access to devices or network resources
• CPC Class Codes: H04L 63/20 for managing network security; network security policies in general filtering policies H04L63/0227
• CPC Class Codes: H04L 67/02 based on web technology, e.g. hypertext transfer protocol [HTTP]
• CPC Class Codes: H04L 67/306 User profiles
• CPC Class Codes: H04W 12/06 Authentication

Abstract

A method and system for improving automated software execution is provided. The method includes receiving in real time from a video retrieval device, visual data associated with a user of a hardware device. The user is identified with respect to the visual data. Internal software applications and hardware structures are scanned in real time and relationships between a group of Web based software applications and a group of internal software applications and hardware structures authorized for access by the user are determined. Information associated with network and hardware device access by the user is analyzed actions for execution with respect to access to the group of Web based software applications and internal software applications and hardware structures are determined. In response, the automated actions are executed with respect to access to the group of Web based software applications and internal software applications and hardware structures.

Claims

1. An automated software execution improvement method comprising:

identifying, by a processor of a hardware device from a video retrieval device based on execution of facial recognition software with respect to visual data associated with a user of said hardware device, said user;

automatically scanning in real time, by said processor, Web based software applications installed and accessible via said hardware device and internal software applications and hardware structures internal to said hardware device;

determining, by said processor based on results of said scanning and said identifying, relationships between a group of Web based software applications of said Web based software applications and a group of internal software applications and hardware structures of said internal software applications and hardware structures internal to said hardware device authorized for access by said user;

ranking, by said processor based on a retrieval order of network channels associated with hardware device access by said user, said group of Web based software applications and said group of internal software applications and hardware structures;

defining, by said processor based on results of said ranking, automated actions for execution with respect to access to said group of Web based software applications and said group of internal software applications and hardware structures; and

executing, by said processor based on said results of said ranking, said automated actions with respect to access to said group of Web based software applications and said group of internal software applications and hardware structures.

2. The method of claim 1, wherein said determining said relationships comprises:

identifying a context and current usage by said user of said group of Web based software applications and said group of internal software applications and hardware structures.

3. The method of claim 2, wherein said identifying said context and current usage comprises:

retrieving a list of currently running software applications of said group of Web based software applications and said group of internal software applications and hardware structures; and

determining a type of usage associated with said applications of said list of currently running software applications.

4. The method of claim 2, wherein said determining said relationships further comprises:

retrieving data indicating relationships between said user and said group of Web based software applications and said group of internal software applications and hardware structures.

5. The method of claim 2, wherein said determining said relationships further comprises:

selecting specified Websites for retrieving data for said identifying said context and current usage.

6. The method of claim 2, wherein said determining said relationships further comprises:

querying a user database with respect to with respect to said group of Web based software applications and said group of internal software applications and hardware structures;

determining based on results of said querying, user based relationships between said user and said group of Web based software applications and said group of internal software applications and hardware structures; and

mapping said user based relationships to said context and current usage.

7. The method of claim 6, further comprising:

determining a relationship index defining a relationship between said user, an additional user, and said context and current usage.

8. The method of claim 7, wherein said executing said automated actions is further based on said relationship index.

9. The method of claim 1, further comprising:

populating, by said processor, a registry with said relationships; and

generating, by said processor based on said registry, software code for performing said executing.

10. The method of claim 1, further comprising:

providing at least one support service for at least one of creating, integrating, hosting, maintaining, and deploying computer-readable code in the control hardware, said code being executed by the computer processor to implement;

said identifying, said automatically scanning in real time, said determining said relationships, said ranking, said defining, and said executing.

11. A computer program product, comprising a computer readable hardware storage device storing a computer readable program code, said computer readable program code comprising an algorithm that when executed by a processor of a hardware device implements an automated software execution improvement method, said method comprising:

identifying, by said processor from a video retrieval device based on execution of facial recognition software with respect to visual data associated with a user of said hardware device, said user;

automatically scanning in real time, by said processor, Web based software applications installed and accessible via said hardware device and internal software applications and hardware structures internal to said hardware device;

determining, by said processor based on results of said scanning and said identifying, relationships between a group of Web based software applications of said Web based software applications and a group of internal software applications and hardware structures of said internal software applications and hardware structures internal to said hardware device authorized for access by said user;

ranking, by said processor based on a retrieval order of network channels associated with hardware device access by said user, said group of Web based software applications and said group of internal software applications and hardware structures;

defining, by said processor based on results of said ranking, automated actions for execution with respect to access to said group of Web based software applications and said group of internal software applications and hardware structures; and

executing, by said processor based on said results of said ranking, said automated actions with respect to access to said group of Web based software applications and said group of internal software applications and hardware structures.

12. The computer program product of claim 11, wherein said determining said relationships comprises:

identifying a context and current usage by said user of said group of Web based software applications and said group of internal software applications and hardware structures.

13. The computer program product of claim 12, wherein said identifying said context and current usage comprises:

retrieving a list of currently running software applications of said group of Web based software applications and said group of internal software applications and hardware structures; and

determining a type of usage associated with said applications of said list of currently running software applications.

14. The computer program product of claim 12, wherein said determining said relationships further comprises:

retrieving data indicating relationships between said user and said group of Web based software applications and said group of internal software applications and hardware structures.

15. The computer program product of claim 12, wherein said determining said relationships further comprises:

selecting specified Websites for retrieving data for said identifying said context and current usage.

16. The computer program product of claim 12, wherein said determining said relationships further comprises:

querying a user database with respect to with respect to said group of Web based software applications and said group of internal software applications and hardware structures;

determining based on results of said querying, user based relationships between said user and said group of Web based software applications and said group of internal software applications and hardware structures; and

mapping said user based relationships to said context and current usage.

17. The computer program product of claim 16, wherein said method further comprises:

determining a relationship index defining a relationship between said user, an additional user, and said context and current usage.

18. The computer program product of claim 17, wherein said executing said automated actions is further based on said relationship index.

19. The computer program product of claim 11, wherein said method further comprises:

populating, by said processor, a registry with said relationships; and

generating, by said processor based on said registry, software code for performing said executing.

20. A hardware device comprising a processor coupled to a computer-readable memory unit, said memory unit comprising instructions that when executed by the computer processor implements an automated software execution improvement method comprising:

identifying, by said processor from a video retrieval device based on execution of facial recognition software with respect to visual data associated with a user of said hardware device, said user;

automatically scanning in real time, by said processor, Web based software applications installed and accessible via said hardware device and internal software applications and hardware structures internal to said hardware device;

determining, by said processor based on results of said scanning and said identifying, relationships between a group of Web based software applications of said Web based software applications and a group of internal software applications and hardware structures of said internal software applications and hardware structures internal to said hardware device authorized for access by said user;

ranking, by said processor based on a retrieval order of network channels associated with hardware device access by said user, said group of Web based software applications and said group of internal software applications and hardware structures;

defining, by said processor based on results of said ranking, automated actions for execution with respect to access to said group of Web based software applications and said group of internal software applications and hardware structures; and

executing, by said processor based on said results of said ranking, said automated actions with respect to access to said group of Web based software applications and said group of internal software applications and hardware structures.