DETAILED ACTION
Notice of Pre-AIA or AIA Status
The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA .
This is in response to the failure status report for Electronic Priority Document Exchange 12/23/2024.
Priority
Acknowledgment is made of applicant's claim for foreign priority based on an application filed in India on 7/23/2023. It is noted, however, that applicant has not filed a certified copy of the IN202311049493 application as required by 37 CFR 1.55.
Information Disclosure Statement
The Information Disclosure Statement filed 7/22/2024 has been considered.
Claim Rejections - 35 USC § 102
In the event the determination of the status of the application as subject to AIA 35 U.S.C. 102 and 103 (or as subject to pre-AIA 35 U.S.C. 102 and 103) is incorrect, any correction of the statutory basis (i.e., changing from AIA to pre-AIA ) for the rejection will not be considered a new ground of rejection if the prior art relied upon, and the rationale supporting the rejection, would be the same under either status.
The following is a quotation of the appropriate paragraphs of 35 U.S.C. 102 that form the basis for the rejections under this section made in this Office action:
A person shall be entitled to a patent unless –
(a)(1) the claimed invention was patented, described in a printed publication, or in public use, on sale, or otherwise available to the public before the effective filing date of the claimed invention.
(a)(2) the claimed invention was described in a patent issued under section 151, or in an application for patent published or deemed published under section 122(b), in which the patent or application, as the case may be, names another inventor and was effectively filed before the effective filing date of the claimed invention.
Claim(s) 1-16 is/are rejected under 35 U.S.C. 102(a)(1) and (a)(2) as being anticipated by Zhang, US PGPub 2015/0281955.
Regarding claim 1, Zhang shows an apparatus comprising at least one processor, and at least one memory storing instructions that, when executed by the at least one processor, cause the apparatus at least to: transmit a registration message, to an access and mobility management function, indicating whether the apparatus supports user authentication information sharing; receive a request, from the access and mobility management function, requesting the apparatus to authenticate a user of the apparatus; authenticate the user based on the request; generate user authentication data; and transmit the user authentication data to the access and mobility management function (Figs. 1 and 2; [0015]-[0024]; [0028]-[0031]).
PNG
media_image1.png
552
482
media_image1.png
Greyscale
PNG
media_image2.png
576
524
media_image2.png
Greyscale
Regarding claim 2, Zhang shows the apparatus of claim 1, further caused to enable the user to register identification information in the apparatus, for each user of the apparatus (Fig. 1 and 2; [0028]-[0029]).
Regarding claim 3, Zhang shows the apparatus of claim 2, further caused to assign a username and at least one of a profile identification and a personal identification number identification to the identification information of each user (Fig. 1 and 2; [0031]; i.e. the intelligent learning module…identity information.; [0022]; [0028]-[0029] the authorization module … second verification module.. verification method includes user name password finger print iris…).
Regarding claim 4, Zhang shows the apparatus of claim 3, further caused to transmit the username and at least one of the profile identification and personal identification number identification for each user of the apparatus to a unified data management node, via the access and mobility management function (Fig. 1 and 2; [0031]; i.e. the intelligent learning module…identity information.; [0022]; [0028]-[0029] the authorization module … second verification module.. verification method includes user name password finger print iris… the routers and [0006]).
Regarding claim 5, Zhang shows the apparatus of claim 1, further caused to authenticate the user by prompting the user to provide the user’s identification information(Fig.1-2; [0031]; i.e. the intelligent learning module…identity information. [0029] the authorization module … second verification module.. verification method includes user name password finger print iris…).
Regarding claim 6, Zhang shows the apparatus of claim 2, wherein the identification information comprises at least one of: face biometric information; finger recognition information; personal identification number information. (. [0029] the authorization module … second verification module.. verification method includes user name password finger print iris…)
Regarding claim 7, Zhang shows the apparatus of claim 1, wherein the user authentication data comprises at least one of: authentication type; authentication result; profile identification; personal identification number identification ([0022] and [0028]).
Regarding claim 8, Zhang shows the apparatus of claim 1, wherein the apparatus transmits user authentication data periodically ([0006]-[0008] and [0016] i.e. the router….can be used…at certain time intervals e.g. once m per second).
Regarding claim 9, Zhang shows an apparatus comprising at least one processor, and at least one memory storing instructions that, when executed by the at least one processor, cause the apparatus at least to: receive, from an access and mobility management function, a registration message indicating whether a user equipment supports user authentication information sharing; receive, from at least one application function; at least one network function; or at least one operator and maintenance instance, either a request to invoke user authentication at the user equipment, or a request for user authentication data; determine whether the user equipment supports user authentication information sharing; when the user equipment does support user authentication information sharing, transmit a request, to the user equipment via the access and mobility management function, requesting authentication of the user at the user equipment; and receive user authentication data from the user equipment via the access and mobility management function (Fig. 1 and 2; [0031]; i.e. the intelligent learning module…identity information.; [0022]; [0028]-[0029] the authorization module … second verification module.. verification method includes user name password finger print iris…).
Regarding claim 10, Zhang shows the apparatus of claim 9, further caused to receive and store a username and at least one of a profile identification and personal identification number identification of each user of the user equipment (Fig. 1 and 2; [0031]; i.e. the intelligent learning module…identity information.; [0022]; [0028]-[0029] the authorization module … second verification module.. verification method includes user name password finger print iris…).
Regarding claim 11, Zhang shows the apparatus of claim 9, further caused to transmit a request message to the access and mobility management function prompting the user equipment to authenticate the user (Fig. 1 and 2; [0031]; i.e. the intelligent learning module…identity information.; [0022]; [0028]-[0029] the authorization module … second verification module.. verification method includes user name password finger print iris…).
Regarding claim 12, Zhang shows the apparatus of claim 9, wherein the user authentication data may comprise at least one of: authentication type; authentication result; profile identification; personal identification number identification (Fig. 1 and 2; [0031]; i.e. the intelligent learning module…identity information.; [0022]; [0028]-[0029] the authorization module … second verification module.. verification method includes user name password finger print iris…).
Regarding claim 13, Zhang shows the apparatus of claim 9, further caused to update the user authentication data and transmit the updated user authentication data to at least one of the at least one application function; at least one network function; or at least one operator and maintenance instance (Fig. 1 and 2; [0031]; i.e. the intelligent learning module…identity information.; [0022]; [0028]-[0029] the authorization module … second verification module.. verification method includes user name password finger print iris…).
Regarding claim 14, Zhang shows the apparatus of claim 13, wherein the updated user authentication data comprises at least one of: authentication type; authentication result, a timestamp; a username; an indication indicating whether multiple personal identification numbers are supported by the user equipment (Fig. 1 and 2; [0031]; i.e. the intelligent learning module…identity information.; [0022]; [0028]-[0029] the authorization module … second verification module.. verification method includes user name password finger print iris…).
Regarding claim 15, Zhang shows an apparatus comprising at least one processor, and at least one memory storing instructions that, when executed by the at least one processor, cause the apparatus at least to: receive, from a user equipment, a registration message indicating whether the user equipment supports user authentication information sharing; receive, from a unified data management node, a request message prompting the user equipment to authenticate the user; receive, from the user equipment, user authentication data; and transmit user authentication data to the unified data management node (Fig. 1 and 2; [0031]; i.e. the intelligent learning module…identity information.; [0022]; [0028]-[0029] the authorization module … second verification module.. verification method includes user name password finger print iris…).
Regarding claim 16, Zhang shows the apparatus of claim 15, wherein the user authentication data comprises at least one of: authentication type; authentication result; profile identification; personal identification number identification (Fig. 1 and 2; [0031]; i.e. the intelligent learning module…identity information.; [0022]; [0028]-[0029] the authorization module … second verification module.. verification method includes user name password finger print iris…).
Conclusion
The prior art made of record and not relied upon is considered pertinent to applicant's disclosure.
Colon et al., 20210058383, shows a location tracking and authentication system.
Lee et al., 20220086703, shows a session management method with a PDU Fig. 5.
Speight, 20170134954, shows a wireless communication with network node Figs. 3 + 8.
Soni et al.,20190274043, shows a phone factor authentication Fig. 4.
Any inquiry concerning this communication or earlier communications from the examiner should be directed to SEAHVOSH J NIKMANESH whose telephone number is (571)270-5549. The examiner can normally be reached M-F 9-5.
Examiner interviews are available via telephone, in-person, and video conferencing using a USPTO supplied web-based collaboration tool. To schedule an interview, applicant is encouraged to use the USPTO Automated Interview Request (AIR) at http://www.uspto.gov/interviewpractice.
If attempts to reach the examiner by telephone are unsuccessful, the examiner’s supervisor, Yuwen Pan can be reached at (571)272-7855. The fax phone number for the organization where this application or proceeding is assigned is 571-273-8300.
Information regarding the status of published or unpublished applications may be obtained from Patent Center. Unpublished application information in Patent Center is available to registered users. To file and manage patent submissions in Patent Center, visit: https://patentcenter.uspto.gov. Visit https://www.uspto.gov/patents/apply/patent-center for more information about Patent Center and https://www.uspto.gov/patents/docx for information about filing in DOCX format. For additional questions, contact the Electronic Business Center (EBC) at 866-217-9197 (toll-free). If you would like assistance from a USPTO Customer Service Representative, call 800-786-9199 (IN USA OR CANADA) or 571-272-1000.
/Seahvosh Nikmanesh/Examiner, Art Unit 2649
/YUWEN PAN/Supervisory Patent Examiner, Art Unit 2649