IP Library Granted Patent US 12,587,513
Granted Patent B2
US 12,587,513 · App. 19/042,367 · Granted Mar 24, 2026

Cyphergenics-enabled digital ecosystems and cyphergenics-enabled digital signatures

Inventors: William C. Johnson (Marina Del Rey, CA); Karen Ispiryan (Santa Monica, CA); Gurgen Khachatryan (Marina Del Rey, CA)
Assignee: QUANTUM DIGITAL SOLUTIONS CORPORATION
H04L63/0428G16Y10/75
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,587,513
App. No.
19/042,367
Granted
Mar 24, 2026
Kind
B2
Abstract

In some embodiments, a method for encrypting a file includes receiving a file comprising file data and file metadata; retrieving a genomic differentiation object and genomic regulation instructions that define a set of operations that modify the genomic differentiation object; modifying the genomic differentiation object into a modified genomic differentiation object based on the genomic regulation instructions; extracting a sequence of bits from a predetermined set of bit locations of the file metadata; generating a genomic engagement factor based on the modified genomic differentiation object and the extracted sequence; and encrypting at least one portion of the file data using the genomic engagement factor.

Claims (32)

1 . A method for securing data transmissions in an internet-of-things (IoT) network comprising a plurality of IoT devices and an edge device, the method comprising:

obtaining, by a processor of an internet of things (IoT) data collection device of the plurality of IoT devices, a genomic differentiation object allocated to the IoT data collection device, wherein the plurality of IoT devices and the edge device are respectively allocated correlated genomic differentiation objects;

obtaining, by the processor of the IoT data collection device, genomic regulation instructions (GRI) shared between the IoT data collection device and the edge device, the GRI indicating a set of operations used to modify the genomic differentiation object when transmitting data to the edge device;

modifying, by the processor of the IoT data collection device, the genomic differentiation object using the GRI to obtain a modified genomic differentiation object;

collecting, by the processor of the IoT data collection device, IoT data relating to an environment or function of the IoT data collection device, wherein the IoT data is collectively contained in a set of digital objects to be transmitted to the edge device, each respective digital object including a payload and respective metadata corresponding to the respective digital object;

transforming, by the processor of the IoT data collection device, the set of digital objects into a corresponding set of respective virtual binary language script (VBLS) objects each having a respective transformed payload, wherein a respective payload of each respective digital object is transformed into the respective transformed payload of a corresponding VBLS object based on the modified genomic differentiation object, the GRI, and the respective metadata; and

transmitting, by the processor of the IoT data collection device, the set of VBLS objects to the edge device.

2 . The method of claim 1 , wherein the edge device provides the GRI to the IoT data collection device during a link exchange process.

3 . The method of claim 1 , wherein the IoT data collection device is preconfigured with the GRI.

4 . The method of claim 1 , wherein the GRI is only shared between the edge device and the IoT data collection device and not shared among any other IoT devices of the plurality of IoT devices, whereby none of the other IoT devices of the plurality of IoT devices inverse transform the set of VBLS objects to recreate the set of digital objects.

5 . The method of claim 1 , wherein the GRI is shared among an enclave comprising the edge device and a subset of the plurality of IoT devices, whereby only the edge device and any other IoT device of the subset of the plurality of IoT devices inverse transform the set of VBLS objects to recreate the set of digital objects using the GRI and the genomic differentiation object.

6 . The method of claim 1 , wherein the GRI is shared among all of the plurality of IoT devices, whereby the edge device and any other IoT device of the plurality of IoT devices inverse transform the set of VBLS objects to recreate the set of digital objects using the GRI and the genomic differentiation object.

7 . The method of claim 1 , wherein the plurality of IoT devices comprise IoT sensors and the IoT data is sensor data.

8 . The method of claim 1 , wherein the plurality of IoT devices comprise one or more smart appliances.

9 . The method of claim 1 , wherein the plurality of IoT devices comprise one or more wearable devices.

10 . The method of claim 1 , wherein the IoT data collection device communicates the set of VBLS objects to the edge device over a WIFI network.

11 . The method of claim 1 , wherein the IoT data collection device communicates the set of VBLS objects to the edge device via a mesh network formed among the plurality of IoT devices.

12 . The method of claim 1 , further comprising:

receiving, by the edge device, the set of VBLS objects;

retrieving, by the edge device, a respective genomic differentiation object correlated to the genomic differentiation object used by the IoT data collection device to generate the set of VBLS objects;

retrieving, by the edge device, a copy of the GRI used by the IoT data collection device to generate the set of VBLS objects;

modifying, by the edge device, the genomic differentiation object using the GRI to obtain a modified genomic differentiation object; and

for each respective VBLS object of the set of VBLS objects:

obtaining, by the edge device, a respective sequence extracted from respective metadata of the respective VBLS object;

generating, by the edge device, a respective genomic engagement factor based on the extracted sequence and the modified genomic differentiation object; and

inverse transforming, by the edge device, the VBLS object using the respective genomic engagement factor to recreate a corresponding digital object sent by the IoT data collection device.

13 . The method of claim 12 , further comprising:

aggregating, by the edge device, respective IoT data collected from two or more of the plurality of IoT devices to obtain aggregated IoT data;

generating, by the edge device, a second set of VBLS objects based on the aggregated IoT data, a genomic differentiation object correlated with a respective genomic differentiation object stored by a cloud computing service, and second GRI exchanged with the cloud computing service; and

transmitting, by the edge device, the second set of VBLS objects to the cloud computing service.

14 . The method of claim 13 , wherein the genomic differentiation object used to generate the second set of VBLS objects by the edge device is the same genomic differentiation object used to decode the set of VBLS objects received from the IoT data collection device.

15 . The method of claim 13 , wherein the genomic differentiation object used to generate the second set of VBLS objects by the edge device is different than the genomic differentiation object used to decode the set of VBLS objects received from the IoT data collection device.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 8, 2025
From: ISPIRYAN, KAREN; KHACHATRYAN, GURGEN
To: QUANTUM DIGITAL SOLUTIONS CORPORATION
Reel/Frame 071630/0400 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 20, 2025
From: JOHNSON, WILLIAM C.
To: QUANTUM DIGITAL SOLUTIONS CORPORATION
Reel/Frame 071294/0265 →
Continuity (3)
Continuation PCTUS2023029382 · Aug 3, 2023
Provisional Application 63394846 · Aug 3, 2022
Related Publication 20250184313A1 · Jun 5, 2025
References Cited (153)
US 6272538B1 · Holden et al. · 2001 [cited by applicant]
US 8094817B2 · Blom et al. · 2012 [cited by applicant]
US 8633797B2 · Farris et al. · 2014 [cited by applicant]
US 8832808B2 · Liu et al. · 2014 [cited by applicant]
US 8898479B2 · Shaw · 2014 [cited by applicant]
US 8903090B2 · Bikel et al. · 2014 [cited by applicant]
US 9043596B2 · Jung et al. · 2015 [cited by applicant]
US 9449191B2 · MacCarthy et al. · 2016 [cited by applicant]
US 9524392B2 · Naehrig · 2016 [cited by examiner]
US 9548860B2 · Zhang et al. · 2017 [cited by applicant]
US 9596220B2 · Hassan et al. · 2017 [cited by applicant]
US 9742560B2 · Simon · 2017 [cited by examiner]
US 9807570B1 · Lazarini et al. · 2017 [cited by applicant]
US 9922320B2 · Bonalle et al. · 2018 [cited by applicant]
US 10007660B2 · Sarikaya et al. · 2018 [cited by applicant]
US 10031679B2 · O'Hare et al. · 2018 [cited by applicant]
US 10131280B2 · Wind et al. · 2018 [cited by applicant]
US 10169574B2 · Nesher et al. · 2019 [cited by applicant]
US 10419215B2 · Hassan · 2019 [cited by applicant]
US 10469260B2 · Hassan · 2019 [cited by applicant]
US 10552620B2 · Desai et al. · 2020 [cited by applicant]
US 10601596B2 · Costa et al. · 2020 [cited by applicant]
US 10615967B2 · Basmov et al. · 2020 [cited by applicant]
US 10630467B1 · Gilbert et al. · 2020 [cited by applicant]
US 10652743B2 · Fitzgibbon · 2020 [cited by applicant]
US 10664583B2 · Proulx et al. · 2020 [cited by applicant]
US 10700865B1 · Hendrick et al. · 2020 [cited by applicant]
US 10708046B1 · Ashrafi · 2020 [cited by applicant]
US 10769615B2 · Li et al. · 2020 [cited by applicant]
US 10777605B2 · Freedman et al. · 2020 [cited by applicant]
US 10817590B1 · Daly et al. · 2020 [cited by applicant]
US 10826877B2 · Nayshtut et al. · 2020 [cited by applicant]
US 10832072B1 · Fraser · 2020 [cited by applicant]
US 10860302B2 · Nightingale et al. · 2020 [cited by applicant]
US 10862870B2 · Maier et al. · 2020 [cited by applicant]
US 10875420B2 · Grimm et al. · 2020 [cited by applicant]
US 10880340B2 · Harrison · 2020 [cited by applicant]
US 10891849B1 · Kumar et al. · 2021 [cited by applicant]
US 10903541B2 · Abdo et al. · 2021 [cited by applicant]
US 10903868B2 · Perthuis et al. · 2021 [cited by applicant]
US 10904256B2 · Brickell · 2021 [cited by applicant]
US 10910087B2 · Cho et al. · 2021 [cited by applicant]
US 10934748B2 · Harajli et al. · 2021 [cited by applicant]
US 10936303B2 · Bonar et al. · 2021 [cited by applicant]
US 10936731B2 · Linton et al. · 2021 [cited by applicant]
US 10944559B2 · Fitzgibbon et al. · 2021 [cited by applicant]
US 10951578B1 · Nainar et al. · 2021 [cited by applicant]
US 10951609B2 · Komperla et al. · 2021 [cited by applicant]
US 10956609B2 · Kochura et al. · 2021 [cited by applicant]
US 10956828B2 · Chow et al. · 2021 [cited by applicant]
US 10957420B2 · Agrawal · 2021 [cited by examiner]
US 10972452B2 · Mathaiyan et al. · 2021 [cited by applicant]
US 10972538B2 · Chen et al. · 2021 [cited by applicant]
US 10977372B2 · Sood et al. · 2021 [cited by applicant]
US 10992338B1 · Priyantha et al. · 2021 [cited by applicant]
US 11000213B2 · Kamath et al. · 2021 [cited by applicant]
US 11005810B2 · Souhrada et al. · 2021 [cited by applicant]
US 11019048B2 · Callaghan · 2021 [cited by applicant]
US 11022625B2 · Tanaka · 2021 [cited by applicant]
US 11023558B1 · Kurien et al. · 2021 [cited by applicant]
US 11023622B2 · Rozas et al. · 2021 [cited by applicant]
US 11343318B2 · Lee et al. · 2022 [cited by applicant]
US 11424009B2 · Philippe et al. · 2022 [cited by applicant]
US 20020029280A1 · Holden et al. · 2002 [cited by applicant]
US 20020078352A1 · Angwin et al. · 2002 [cited by applicant]
US 20030217165A1 · Buch et al. · 2003 [cited by applicant]
US 20050026117A1 · Judson et al. · 2005 [cited by applicant]
US 20080095362A1 · Blom et al. · 2008 [cited by applicant]
US 20090070281A1 · Solomon · 2009 [cited by applicant]
US 20090167535A1 · Sanchez et al. · 2009 [cited by applicant]
US 20100318800A1 · Simon et al. · 2010 [cited by applicant]
US 20110016318A1 · Syngkon et al. · 2011 [cited by applicant]
US 20120124387A1 · Skocic · 2012 [cited by applicant]
US 20130044876A1 · Shaw et al. · 2013 [cited by applicant]
US 20130046994A1 · Shaw · 2013 [cited by applicant]
US 20130166518A1 · Mande et al. · 2013 [cited by applicant]
US 20130185806A1 · Hatakeyama · 2013 [cited by applicant]
US 20130254255A1 · Nilsson et al. · 2013 [cited by applicant]
US 20140298461A1 · Hohndel et al. · 2014 [cited by applicant]
US 20160024556A1 · Zhang · 2016 [cited by applicant]
US 20160085916A1 · Smith · 2016 [cited by applicant]
US 20170236520A1 · Borgstrom et al. · 2017 [cited by applicant]
US 20170242961A1 · Shukla et al. · 2017 [cited by applicant]
US 20170261518A1 · Paczesny · 2017 [cited by applicant]
US 20180046766A1 · Deonarine et al. · 2018 [cited by applicant]
US 20180068000A1 · Messaoud et al. · 2018 [cited by applicant]
US 20180201998A1 · Xiang et al. · 2018 [cited by applicant]
US 20190289038A1 · Li et al. · 2019 [cited by applicant]
US 20190318816A1 · Witchey · 2019 [cited by applicant]
US 20190394243A1 · Wiig et al. · 2019 [cited by applicant]
US 20200007345A1 · Barry et al. · 2020 [cited by applicant]
US 20200184489A1 · Negi et al. · 2020 [cited by applicant]
US 20200311816A1 · Calvin · 2020 [cited by applicant]
US 20210050995A1 · Ragan et al. · 2021 [cited by applicant]
US 20220103529A1 · Johnson et al. · 2022 [cited by applicant]
US 20220245463A1 · Johnson et al. · 2022 [cited by applicant]
US 20250181693A1 · Johnson et al. · 2025 [cited by applicant]
US 20250184313A1 · Johnson et al. · 2025 [cited by applicant]
AU 2019201785A1 · 2020 [cited by applicant]
CN 100589385C · 2010 [cited by applicant]
CN 102025482A · 2011 [cited by applicant]
CN 102075931B · 2013 [cited by applicant]
CN 105046636B · 2017 [cited by applicant]
CN 110971403A · 2020 [cited by applicant]
CN 108847932B · 2020 [cited by applicant]
CN 108599934B · 2020 [cited by applicant]
CN 108134772B · 2020 [cited by applicant]
CN 114205077A · 2022 [cited by applicant]
CN 115702560A · 2023 [cited by applicant]
DE 102019108328A1 · 2020 [cited by applicant]
WO 2015080987A1 · 2015 [cited by applicant]
WO 2017103226A1 · 2017 [cited by applicant]
WO 2018007525A2 · 2018 [cited by applicant]
WO 2018096559A1 · 2018 [cited by applicant]
WO 2019107129A1 · 2019 [cited by applicant]
WO 2020209988A2 · 2020 [cited by applicant]
WO 2021013736A1 · 2021 [cited by applicant]
WO 2021158791A1 · 2021 [cited by applicant]
Cambou, B. et al., “Post Quantum Cryptographic Keys Generated with Physical Unclonable Functions,” Applied Sciences, vol. 11, No. 6, 2801, Mar. 2021, pp. 1-20. [cited by applicant]
Hadzic, M. et al., “Methodology Framework for the Design of Digital Ecosystems,” 2007 IEEE International Conference on Systems, Man and Cybernetics, 2007, pp. 7-12. [cited by applicant]
Mahmood, Z. et al., “Distributed Multiparty Key Management for Efficient Authentication in the Internet of Things,” IEEE Access, vol. 6, May 2018, pp. 29460-29473. [cited by applicant]
PCT International Search Report and Written Opinion dated Sep. 25, 2024 for International Application No. PCT/ US2023/029382, 23 pages. [cited by applicant]
Roy-Chowdhury, A. et al., “Key Management for Secure Multicast in Hybrid Satellite Networks,” Security and Protection in Information Processing Systems, SEC 2004, IFIP International Federation for Information Processing… [cited by applicant]
Bechkit, W. et al., “A new class of Hash-Chain based key pre-distribution schemes for WSN,” Computer Communications, Jan. 2013, 36 (3), pp. 243-255. [cited by applicant]
Blom, R., “An Optimal Class Of Symmetric Key Generation Systems,” T. Beth, N. Cot, and I. Ingemarsson (Eds.): Advances in Cryptology—EUROCRYPT '84, LNCS 209, 1985, pp. 335-338. [cited by applicant]
Blundo, C. et al., “Perfectly-Secure Key Distribution for Dynamic Conferences,” E.F. Brickell (Ed.): Advances in Cryptology—CRYPTO '92, LNCS 740, 1993, pp. 471-486. [cited by applicant]
Briscoe, G. et al., “Digital Ecosystems: Ecosystem-Oriented Architectures,” Dec. 2011, arXiv preprint arXiv:1112.0204v1, 39 pages. [cited by applicant]
Briscoe, G. et al., “Digital Ecosystems: Self-Organisation of Evolving Agent Populations,” Oct. 2009, arXiv preprint arXiv:0803.2675v4, 5 pages. [cited by applicant]
Carlini, F. et al., “The Genesy Model for a Blockchain-Based Fair Ecosystem of Genomic Data,” Frontiers in Blockchain, Technology and Code, vol. 3, Dec. 2020, 14 pages. [cited by applicant]
Daniel, R.M. et al., “Analysis of hierarchical identity based encryption schemes and its applicability to computing environments,” Journal of Information Security and Applications, vol. 36, 2017, pp. 20-31. [cited by applicant]
Eschenauer, L. et al., “A Key-Management Scheme for Distributed Sensor Networks,” CCS'02, Nov. 18-22, 2002, Washington, D.C., 7 pages. [cited by applicant]
Esffehani, N.S. et al., “A survey of key pre-distribution schemes based on combinatorial designs for resourse-constrained devices in the IoT network,” Wireless Networks, May 2021, vol. 27, pp. 3025-3052. [cited by applicant]
Extended European Search Report dated Dec. 6, 2024 for EP Application No. 22750386.9, 4 pages. [cited by applicant]
Extended European Search Report dated Jan. 26, 2024 for EP Application No. 21750703.7, 7 pages. [cited by applicant]
Fiat, A. et al., “Broadcast Encryption,” D.R. Stinson (Ed.): Advances in Cryptology—CRYPTO '93, LNCS 773, 1994, pp. 480-491. [cited by applicant]
Hedin, Y. et al., “Security in Multi-Agent Systems,” Procedia Computer Science, vol. 60, 2015, pp. 1604-1612. [cited by applicant]
Heesch, M.V. et al., “Towards Quantum-Safe VPNs and Internet,” IACR Cryptol. ePrint Arch., 2019, 1277, 8 pages. [cited by applicant]
Huang, Z. et al., “GenoGuard: Protecting Genomic Data Against Brute-Force Attacks,” 2015 IEEE Symposium on Security and Privacy, 2015, pp. 447-462. [cited by applicant]
Khabbazian, M. et al., “TurboBlom: A light and resilient key predistribution scheme with application to Internet of Things,” PLOS One, Mar. 2024, https://doi.org/10.1371/journal.pone.0295190, 22 pages. [cited by applicant]
Leighton, T. et al., “Secret-Key Agreement without Public-Key Cryptography (Extended Abstract),” D.R. Stinson (Ed.): Advances in Cryptology—CRYPTO '93, LNCS 773, 1994, pp. 456-479. [cited by applicant]
Lobo, L.M.R.J. et al., “Use of Genetic Algorithm in Network Security,” International Journal of Computer Applications (0975-8887), vol. 53, No. 8, Sep. 2012, pp. 1-7. [cited by applicant]
Matsumoto, T. et al., “On the Key Predistribution System: A Practical Solution to the Key Distribution Problem,” C. Pomerance (Ed.): Advances in Cryptology—CRYPTO '87, LNCS 293, 1988, pp. 185-193. [cited by applicant]
Paganini, P., “DNA Contains Instructions for Biological and Computer Viruses,” Aug. 2017, https://securityaffairs.co/wordpress/61940/hacking/dna-contains-instructions-biological-computer-viruses.html, 6 pages. [cited by applicant]
PCT International Search Report and Written Opinion dated Apr. 22, 2022 for International Application No. PCT/US2022/015109, 17 pages. [cited by applicant]
PCT International Search Report and Written Opinion dated May 17, 2021 for International Application No. PCT/US2021/016617, 17 pages. [cited by applicant]
Sharma, D. et al., “Encoding Scheme For Data Storage And Retrieval On DNA Computers,” IET Nanobiotechnology, E-First on Sep. 2, 2020, vol. 14, Iss. 7, pp. 635-641. [cited by applicant]
Shaw, H., “A Cryptographic System Based upon the Principles of Gene Expression,” 2017 Cryptography 1(3), 21, www.mdpi.com/journal/cryptography, 18 pages. [cited by applicant]
Banaie, F. et al., “MPKMS: A Matrix-based Pairwise Key Management Scheme for Wireless Sensor Networks,” Proceeding of International Conference on Electrical Engineering, Computer Science and Informatics (EECSI 2014), Au… [cited by applicant]
Blundo, C. et al., “Perfectly Secure Key Distribution for Dynamic Conferences,” Information and Computation, vol. 146, No. 1, Oct. 1998, pp. 1-23. [cited by applicant]
Du, W. et al., “A Pairwise Key Predistribution Scheme for Wireless Sensor Networks,” ACM Transactions on Information and System Security (TISSEC), vol. 8, No. 2, May 2005, pp. 228-258. [cited by applicant]
PCT International Search Report and Written Opinion dated Oct. 8, 2025 for International Application No. PCT/US2025/035390, 12 pages. [cited by applicant]
Wang, Y. et al., “A Survey Of Security Issues In Wireless Sensor Networks,” IEEE Communications Surveys & Tutorials, vol. 8, No. 2, 2nd Quarter, Jun. 2006, pp. 2-23. [cited by applicant]
Zhang, L.P. et al., “An ID-Based Pairwise Key Predistribution Scheme for Wireless Sensor Networks, ” 2010 6th International Conference on Wireless Communications Networking and Mobile Computing (WiCOM), IEEE, Oct. 2010,… [cited by applicant]