US11863686B2 - Validating authenticity of electronic documents shared via computer networks - Google Patents
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L9/00—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols
- H04L9/32—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials
- H04L9/3247—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials involving digital signatures
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- G—PHYSICS
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- G06F21/60—Protecting data
- G06F21/64—Protecting data integrity, e.g. using checksums, certificates or signatures
- G06F21/645—Protecting data integrity, e.g. using checksums, certificates or signatures using a third party
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- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04L9/32—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials
- H04L9/3236—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials using cryptographic hash functions
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04L9/00—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols
- H04L9/50—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols using hash chains, e.g. blockchains or hash trees
Definitions
- Authenticity is important in today's online environment. Electronic documents are easily distributed, especially via private and public networks (such as the Internet). Electronic documents are thus easily altered for fraudulent activities.
- FIGS. 1 - 3 are simplified illustrations of validating an electronic document, according to exemplary embodiments
- FIGS. 4 - 7 are detailed illustrations of an operating environment, according to exemplary embodiments.
- FIGS. 8 - 12 further illustrate verification, according to exemplary embodiments
- FIG. 13 illustrates multiple digital signatures, according to exemplary embodiments
- FIG. 14 illustrates a blockchain, according to exemplary embodiments
- FIG. 15 illustrates multiple verifications, according to exemplary embodiments
- FIGS. 16 - 17 are flowcharts illustrating a method of authentication, according to exemplary embodiments.
- FIG. 18 illustrates a fraud alert, according to exemplary embodiments.
- FIGS. 19 - 20 depict still more operating environments for additional aspects of the exemplary embodiments.
- first, second, etc. may be used herein to describe various elements, these elements should not be limited by these terms. These terms are only used to distinguish one element from another. For example, a first device could be termed a second device, and, similarly, a second device could be termed a first device without departing from the teachings of the disclosure.
- FIGS. 1 - 3 are simplified illustrations of validating an electronic document 20 , according to exemplary embodiments.
- exemplary embodiments verify whether the electronic document 20 has been altered since creation.
- an authenticity 22 of the electronic document 20 may be very important in banking, security, identification, and other activities conducted via the Internet. If the electronic document 20 has changed since its original creation, then banking and other online activities may be compromised. Indeed, an altered version 24 of the electronic document 20 may indicate malicious or fraudulent activity is being attempted.
- Exemplary embodiments may thus include a security scheme based on electronic data 26 representing the electronic document 20 .
- FIG. 1 illustrates a verification server 28 .
- the verification server 28 determines whether the electronic document 20 has been changed since creation 30 .
- the verification server 28 obtains the electronic data 26 representing an original version 32 of the electronic document 20 .
- This disclosure mostly explains the original version 32 as of a date 34 of creation.
- the original version 32 though, may be demarcated with reference to any time, date, or version.
- the verification server 28 may generate one or more hash values 36 associated with a hash tree 38 based on the electronic data 26 representing the original version 32 of the electronic document 20 .
- the hash tree 38 may be generated using an electronic representation of a hashing algorithm 40 .
- the verification server 28 may then distribute one or more of the hash values 36 via a blockchain 50 .
- any of the hash values 36 may be added to, stored in, or incorporated in, any record, transaction, or block and distributed via the blockchain 50 .
- the blockchain 50 may be sent or routed to any destination (such as an Internet Protocol address associated with another server), FIG. 1 illustrates peer distribution. That is, the verification server 28 may broadcast the blockchain 50 to the IP addresses associated with a network 52 of peer devices or nodes for verification. Exemplary embodiments may thus utilize the blockchain 50 as a distribution or publication mechanism.
- the blockchain 50 is generally a digital ledger in which transactions are chronologically and/or publically recorded.
- the blockchain 50 is most commonly used in decentralized cryptocurrencies (such as Bitcoin).
- the blockchain 50 may be adapted to any chain or custody (such as in medical records and in chains of title in real estate transactions). Indeed, there are many different mechanisms and configurations of the blockchain 50 , and exemplary embodiments may be adapted to any version. Because peer-to-peer blockchain technology is generally known, this disclosure need not provide a detailed explanation.
- FIG. 2 illustrates a verification scheme.
- the verification server 28 determines whether a current version 60 of the electronic document 20 has changed since the date 34 of creation. That is, the verification server 28 determines whether the current version 60 differs from the original version 32 .
- the verification server 28 retrieves electronic data 61 representing the current version 60 of the electronic document 20 .
- the verification server 28 may then generate one or more verification hash values 62 based on the electronic data 61 representing the current version 60 .
- the verification hash values 62 are generated using the electronic representation of the hashing algorithm 40 .
- the verification server 28 may then compare the verification hash values 62 to the hash values 36 representing the original version 32 (as of the date 34 of creation).
- the verification server 28 may infer or determine that the current version 60 is the same as the original version 32 . If, however, the verification hash values 62 fail to satisfy the hash values 36 , then the verification server 28 may infer that the current version 60 differs from the original version 32 .
- the current version 60 of the electronic document 20 in other words, has been altered since the date 34 of creation.
- the verification server 28 may thus generate a fraud alert 64 to implement enhanced security measures.
- Exemplary embodiments may detect minor changes.
- the hashing algorithm 40 is very sensitive to even subtle alterations in the electronic document 20 .
- this disclosure will mostly discuss the SHA family of cryptographic hashing algorithms, which many readers are thought familiar. For example, if the SHA-256 algorithm is applied to the electronic data 26 representing the original version 32 , the result is a 256-bit digital signature. There is thus an extremely low probability that different source data would produce the same digital signature.
- FIG. 3 illustrates nodal verification.
- exemplary embodiments may distribute one or more of the hash values 36 via the blockchain 50 .
- the verification server 28 may distribute the hash values 36 via the blockchain 50 .
- the verification server 28 may incorporate the 256-bit digital signature 70 (generated by the SHA-256 algorithm) into the blockchain 50 .
- Any trusted member of the network 52 of peer devices may then verify the current version 60 of the electronic document 20 .
- a trusted peer device 72 may receive the blockchain 50 and retrieve or determine the digital signature 70 incorporated therein.
- the trusted peer device 72 may then itself retrieve the electronic data 71 representing the current version 60 and generate the verification hash values 62 (such as a 256-bit verification digital signature 74 ). The trusted peer device 72 may then compare the hash values 36 (received via the blockchain 50 ) to the verification hash values 62 generated based on the current version 60 of the electronic document 20 . As a simple example, the trusted peer device 72 may compare the 256-bit digital signature 70 (based on the original version 32 ) to the 256-bit verification digital signature 74 (based on the current version 60 ).
- the trusted peer device 72 may infer or determine that the current version 60 is authentic and unaltered. However, if the verification hash values 36 (e.g., the 256-bit verification digital signature 74 ) fails to satisfy the hash values 36 (e.g., the 256-bit digital signature 70 , then the trusted peer device 72 may infer that the current version 60 is inauthentic and altered. The trusted peer device 72 may thus generate the fraud alert 64 to implement enhanced security measures.
- the verification hash values 36 e.g., the 256-bit verification digital signature 74
- FIGS. 4 - 7 are detailed illustrations of an operating environment, according to exemplary embodiments.
- FIG. 4 illustrates the verification server 28 communicating with the trusted peer device 72 via a communications network 80 and/or via a wireless network 82 .
- FIG. 4 illustrates the trusted peer device 72 as a mobile smartphone 84 , which most readers are thought familiar.
- the trusted peer device 72 may be any processor-controlled device, as later paragraphs will explain.
- the verification server 28 may have a processor 86 (e.g., “ ⁇ P”), application specific integrated circuit (ASIC), or other component that executes a verification algorithm 86 stored in a local memory device 88 .
- ⁇ P processor
- ASIC application specific integrated circuit
- the verification algorithm 86 includes instructions, code, and/or programs that cause the verification server 28 to perform operations, such as generating the hash values 36 associated with the electronic document 20 (as the above paragraphs explained).
- the verification algorithm 86 may thus generate the digital signature 70 representing the original version 32 (using the hashing algorithm 40 ).
- the verification algorithm 86 may then instruct or cause the verification server 28 to integrate the digital signature 70 into the blockchain 50 for distribution to the mobile smartphone 84 .
- Exemplary embodiments, though, may send the digital signature 70 and/or the blockchain 50 to any IP address associated with any network destination or device.
- FIG. 5 illustrates peer verification. Now that the blockchain 50 is distributed, the trusted peer device 72 (again illustrated as the mobile smartphone 84 ) may determine the authenticity 22 of the current version 60 of the electronic document 20 .
- FIG. 5 thus illustrates the mobile smartphone 84 receiving the blockchain 50 and the digital signature 70 integrated therein.
- the mobile smartphone 84 has a processor 90 , application specific integrated circuit (ASIC), or other component that executes a peer-side verification algorithm 92 stored in a local memory device 94 .
- the peer-side verification algorithm 92 includes instructions, code, and/or programs that cause the processor 90 to perform operations, such as verifying the current version 60 of the electronic document 20 .
- the peer-side verification algorithm 92 causes the mobile smartphone 84 to retrieve the electronic data 71 representing the current version 60 and to generate the verification digital signature 74 (such as the corresponding 256-bit hash). If the verification digital signature 74 satisfactorily compare to the digital signature 70 received via the blockchain 50 , then the peer-side verification algorithm 92 may infer or determine that the current version 60 is authentic and unaltered. However, if the verification digital signature 74 fails to satisfy the digital signature 70 received via the blockchain 50 , then the peer-side verification algorithm 92 may infer that the current version 60 is inauthentic and altered. The peer-side verification algorithm 92 may thus generate the fraud alert 64 to implement enhanced security measures.
- the verification digital signature 74 such as the corresponding 256-bit hash
- FIG. 6 illustrates servile verification.
- the verification server 28 may itself determine the authenticity 22 of different versions of the electronic document 20 .
- the verification server 28 may alert or notify of security concerns.
- the verification algorithm 86 causes the verification server 28 to retrieve the current version 60 and to generate the corresponding verification digital signature 74 . If the verification digital signature 74 satisfactorily compares to the digital signature 70 (representing the original version 32 ), then the verification algorithm 86 may infer or determine that the current version 60 is authentic and unaltered. However, if the verification digital signature 74 fails to satisfy the digital signature 70 (representing the original version 32 ), then the verification algorithm 86 may implement the fraud alert 64 , as the current version 60 is inauthentic and/or altered.
- FIG. 7 illustrates the general verification scheme.
- the general verification scheme may use the 256-bit hash value computed by the SHA-256 algorithm.
- Exemplary embodiments obtain or retrieve the electronic data 26 representing the original version 32 of the electronic document 20 .
- the electronic data 26 is acted on by the SHA-256 hashing algorithm to generate a 256-bit hash value as the digital signature 70 .
- Exemplary embodiments may also obtain or retrieve the electronic data 71 representing the current version 60 of the electronic document 20 .
- the electronic data 71 is acted on by the SHA-256 hashing algorithm to generate a corresponding 256-bit hash value as the verification digital signature 74 .
- exemplary embodiments may infer that the current version 60 is authentic and unaltered. However, if the digital signatures 70 and 74 fail to match, exemplary embodiments may infer that the current version 60 is inauthentic and generate the fraud alert 64 .
- Exemplary embodiments may be applied regardless of networking environment. Exemplary embodiments may be easily adapted to stationary or mobile devices having cellular, wireless fidelity (WI-Fi®), near field, and/or BLUETOOTH® capability. Exemplary embodiments may be applied to mobile devices utilizing any portion of the electromagnetic spectrum and any signaling standard (such as the IEEE 802 family of standards, GSM/CDMA/TDMA or any cellular standard, and/or the ISM band). Exemplary embodiments, however, may be applied to any processor-controlled device operating in the radio-frequency domain and/or the Internet Protocol (IP) domain.
- IP Internet Protocol
- Exemplary embodiments may be applied to any processor-controlled device utilizing a distributed computing network, such as the Internet (sometimes alternatively known as the “World Wide Web”), an intranet, a local-area network (LAN), and/or a wide-area network (WAN).
- Exemplary embodiments may be applied to any processor-controlled device utilizing power line technologies, in which signals are communicated via electrical wiring. Indeed, exemplary embodiments may be applied regardless of physical componentry, physical configuration, or communications standard(s).
- Exemplary embodiments may utilize any processing component, configuration, or system.
- Any processor could be multiple processors, which could include distributed processors or parallel processors in a single machine or multiple machines.
- the processor can be used in supporting a virtual processing environment.
- the processor could include a state machine, application specific integrated circuit (ASIC), programmable gate array (PGA) including a Field PGA, or state machine.
- ASIC application specific integrated circuit
- PGA programmable gate array
- any of the processors execute instructions to perform “operations”, this could include the processor performing the operations directly and/or facilitating, directing, or cooperating with another device or component to perform the operations.
- Exemplary embodiments may packetize.
- the verification server 28 and the trusted peer device 72 may have network interfaces to the communications network 80 , thus allowing collection and retrieval of information.
- the information may be received as packets of data according to a packet protocol (such as the Internet Protocol).
- the packets of data contain bits or bytes of data describing the contents, or payload, of a message.
- a header of each packet of data may contain routing information identifying an origination address and/or a destination address associated with any of the verification server 28 and the trusted peer device 72 .
- FIGS. 8 - 12 further illustrate verification, according to exemplary embodiments.
- exemplary embodiments authenticate the electronic document 20 , based on its electronic data 26 .
- exemplary embodiments are applicable to any type of the electronic document 20 , most readers are thought familiar with a driver's license 100 . That is, the electronic document 20 may have content representing an electronic version of the driver's license 100 .
- the electronic document 20 may be formatted according to any format 102 , most readers are thought familiar with a portable document format (“PDF”) 104 , the MICROSOFT® WORD® extensible markup language extension (“docx”) 106 , and/or the extensible markup language (“XML”) 108 .
- PDF portable document format
- MICROSOFT® WORD® extensible markup language extension (“docx”)
- XML”) 108 extensible markup language
- Exemplary embodiments may thus retrieve the electronic data 26 representing the driver's license 100 and generate the corresponding digital signature 70 (such as the corresponding 256-bit hash if using the SHA-256 hashing algorithm 40 ). Exemplary embodiments may then incorporate the digital signature 70 into the blockchain 50 for distribution via the communications network 80 . Any destination (such as the trusted peer device 72 ) may thus verify an alleged copy of the driver's license 100 against the blockchain 50 (as this disclosure above explains).
- the format 102 may be proprietary, free, unpublished, and/or open.
- the format 102 may be designed for images, containers, audio, video, text, subtitles, control characters, and encoding schemes.
- the format 102 may be HTML, vector graphics, source code, text files, syntax, and software programming.
- FIG. 9 illustrates structured data 110 .
- the electronic data 26 representing the electronic document 20 may be the structured data 110 . That is, the structured data 110 may be organized (such as an entry 112 or database field 114 in a relational spreadsheet 116 or database 118 ), contained within a fixed data field 120 or data record 122 , and/or be addressable via a network or memory address 124 .
- the structured data 110 may be organized according to the JavaScript Object Notation (or “JSON”).
- JSON JavaScript Object Notation
- the JavaScript Object Notation is a known format for structuring data, the JSON format need not be explained in detail.
- the electronic data 26 representing the driver's license 100 may be a JSON document 126 having the structured data 110 arranged as fields [ ⁇ “Name”:“Bob Smith” ⁇ , ⁇ “State”: “TX” ⁇ , ⁇ “Birth”:“May 1, 1975” ⁇ . . . ].
- the driver's license 100 may thus be formatted according to a JSON schema 128 and stored in an electronic database 130 (perhaps having other structured data 110 , such as electronic database associations according to [ ⁇ “Title”:“Drivers License”, “properties”: ⁇ “Name”: ⁇ “type”:“string” ⁇ . . . ].
- Exemplary embodiment may thus incorporate a data version 132 in the blockchain 50 .
- the data version 132 may be the structured data 110 arranged or formatted according to the JSON schema 128 .
- Exemplary embodiments may thus retrieve the data version 132 and generate the corresponding digital signature 70 (such as the 256-bit hash value using the SHA-256 hashing algorithm 40 ).
- Exemplary embodiments may then incorporate the digital signature 70 into the blockchain 50 for distribution (such as to the trusted peer device 72 ).
- the trusted peer device 72 may thus verify an alleged copy of the driver's license 100 against the blockchain 50 (as this disclosure above explains).
- any electronic document referenced in the electronic database 130 may be recreated, hashed, and checked against the blockchain 50 to ensure the electronic data 26 has not been altered.
- the electronic data 26 representing the driver's license 100 is stored in a human resources database, then exemplary embodiments permit recreating the driver's license 100 (perhaps via a POSGRES® database) and authentication.
- FIGS. 10 - 11 illustrate metadata 140 .
- the electronic data 26 representing the electronic document 20 may include the metadata 140 (such as [ ⁇ “CreationTime”: “2012-05-07T11:12:32” ⁇ , ⁇ “SourceID”: “1131122” ⁇ , ⁇ “Location”: “Wells Fargo System XXX, ID YYY” ⁇ . . . ].
- Exemplary embodiments may thus retrieve the metadata 140 and generate the corresponding digital signature 70 (such as the 256-bit hash value representing the metadata 140 ).
- Exemplary embodiments may then incorporate the digital signature 70 representing the metadata 140 into the blockchain 50 for distribution to the trusted peer device 72 .
- the trusted peer device 72 may thus perform a two-fold verification. That is, any alteration to the driver's license 100 may be determined (as this disclosure explains), but exemplary embodiments may also verify that the date 34 of creation (e.g., [ ⁇ “CreationTime”:“2012-05-07T11:12:32” ⁇ ] has not changed. Again, if the digital signature 70 representing the metadata 140 has changed over time (such as when comparing the original version 32 to the current version 60 ), then exemplary embodiments may flag or notify of a possible fraud attempt. Any change in the digital signature 70 over time may also be useful for audit trails in banking, mortgage processing, and other activities.
- FIG. 11 illustrates different types of the metadata 140 . While exemplary embodiments may hash any type of the metadata 140 , this disclosure will mainly describe the metadata 140 thought familiar to most readers.
- the metadata 140 may describe the date 112 of creation, a title, an author, a location (such as GPS information at creation), word/character count, and an abstract describing or summarizing the electronic document 20 .
- the metadata 140 may also include one or more keywords associated with the electronic document 20 .
- the metadata 140 may also include a file hierarchy where the electronic document 20 is stored and/or a network address for retrieval. The network address, for example, may be associated with a server or other machine locally or remotely storing the electronic document 20 .
- the metadata 140 may also include structural details, such as file size, page numbering, chapter organization, and image data. Other metadata 140 may describe approved users (such as administrator and user permissions or identities) and digital rights management (or “DRM”). The metadata 140 may be formatted according to any standard.
- FIG. 12 illustrates instructions 150 .
- the electronic data 26 representing the driver's license 100 may include the instructions 150 .
- the instructions 150 may be structured (such as executable code), unstructured instructions (such as non-executable commentary lines in code, such as English language “do thing 1, then thing 2, then thing 3”).
- Other instructions 150 may include any messages (such as “When this document is accessed, POST to the URL http://some.target.url”).
- Exemplary embodiments may thus retrieve the instructions 150 , generate the corresponding digital signature 70 (such as the 256-bit hash value representing the instructions 150 ), and incorporate into the blockchain 50 . Again, if the digital signature 70 representing the instructions 150 has changed over time, then exemplary embodiments may flag or notify of a possible fraud attempt.
- FIG. 13 illustrates multiple digital signatures 160 , according to exemplary embodiments.
- the electronic document 20 may comprise or contain multiple types of the electronic data 26
- exemplary embodiments may generate the multiple digital signatures 160 .
- Exemplary embodiments may generate a first digital signature 70 a (such as the 256-bit hash value using the SHA-256 hashing algorithm 40 ) based on the data version 132 associated with the electronic document 20 (as above explained with reference to FIGS. 8 - 9 ).
- Exemplary embodiments may generate a second digital signature 70 b based on the metadata 140 contained within, or associated with, the electronic document 20 (as above explained with reference to FIGS. 10 - 11 ).
- Exemplary embodiments may generate a third digital signature 70 c based on the instructions 150 contained within, or associated with, the electronic document 20 (as above explained with reference to FIG. 12 ). Any or all of the multiple digital signatures 160 may be generated based on the electronic data 26 representing the electronic document 20 .
- FIG. 14 further illustrates the blockchain 50 , according to exemplary embodiments.
- exemplary embodiments may incorporate one or more of the multiple digital signatures 160 into the blockchain 50 . That is, any one or more of the multiple digital signatures 160 may be added to, stored in, or incorporated into any record, transaction, or block within the blockchain 50 .
- FIG. 14 illustrates the blockchain 50 including the first digital signature 70 a (based on the data version 132 ), the second digital signature 70 b (based on the metadata 140 ), and the third digital signature 70 c (based on the instructions 150 ).
- the verification server 28 may then distribute or broadcast the blockchain 50 to the trusted peer device 72 for subsequent verification.
- FIG. 15 illustrates multiple verifications, according to exemplary embodiments.
- the trusted peer device 72 may then use any one or more of the multiple digital signatures 160 to verify the authenticity 22 of the current version 60 of the electronic document 20 .
- the peer-side verification algorithm 92 may cause the trusted peer device 72 to generate a first verification digital signature (“1 st VDS”) 74 a by hashing the data version 132 associated with the current version 60 .
- the peer-side verification algorithm 92 additionally or alternatively cause the trusted peer device 72 to generate a second verification digital signature (“2 nd VDS”)) 74 b by hashing the metadata 140 associated with the current version 60 .
- the peer-side verification algorithm 92 additionally or alternatively cause the trusted peer device 72 to generate a third verification digital signature (“3 rd VDS”) 74 b by hashing the metadata 140 associated with the current version 60 . If any one or more of the verification digital signatures 74 a , 74 b , and/or 74 c satisfactorily compares to their corresponding digital signatures 70 a , 70 b , and/or 70 c , then the peer-side verification algorithm 92 may infer or determine that the current version 60 is authentic and unaltered.
- the peer-side verification algorithm 92 may infer that the current version 60 is inauthentic and altered. The peer-side verification algorithm 92 may thus generate the fraud alert 64 to implement enhanced security measures.
- FIGS. 16 - 17 are flowcharts illustrating a method of authentication, according to exemplary embodiments.
- the electronic data 26 representing the original version 32 of the electronic document 20 is retrieved (Block 200 ) and hashed using the hashing algorithm 40 (Block 202 ).
- One or more of the multiple digital signatures 160 are generated (Block 204 ) and incorporated into the blockchain 50 (Block 206 ).
- the blockchain 50 is distributed via the Internet (Block 208 ).
- any of the multiple digital signatures 160 may be used verify the current version 60 of the electronic document 20 (Block 212 ).
- the multiple verification digital signatures 74 a , 74 b , and/or 74 c are generated based on the current version 60 of the electronic document 20 (Block 214 ).
- the flowchart continues with FIG. 17 .
- the multiple verification digital signatures 74 a , 74 b , and/or 74 c are compared to the multiple digital signatures 160 incorporated into the blockchain 50 (Block 218 ).
- the number of matches is summed (Block 220 ) and compared to a verification threshold (Block 222 ). If the number of matches equals or exceeds the verification threshold (Block 224 ), then the current version 60 is authentic (Block 226 ). However, if the number of matches is less than the verification threshold (Block 224 ), then the current version 60 is altered (Block 228 ) and fraud alert 64 is generated (Block 230 ).
- FIG. 18 illustrates the fraud alert 64 , according to exemplary embodiments.
- the verification server 28 and/or the trusted peer device 72 generates the fraud alert 64 .
- the fraud alert 64 may have any mechanism and structure
- FIG. 17 illustrates a simple notification example.
- the fraud alert 64 is an electronic message 240 that is sent to one or more notification addresses 242 .
- the electronic message 240 routes via the communications network 80 to a network address (e.g., IP address) associated with a destination device 244 .
- the electronic message 240 contains information or data describing an inauthenticity of the current version 60 of the electronic document 20 , based on one or more of the non-matching digital signatures 70 .
- FIG. 19 is a schematic illustrating still more exemplary embodiments.
- FIG. 19 is a more detailed diagram illustrating a processor-controlled device 250 .
- the verification algorithm 86 and the peer-side verification algorithm 92 may partially or entirely operate in any mobile or stationary processor-controlled device.
- FIG. 19 illustrates the verification algorithm 86 and the peer-side verification algorithm 92 stored in a memory subsystem of the processor-controlled device 250 .
- One or more processors communicate with the memory subsystem and execute either, some, or all applications. Because the processor-controlled device 250 is well known to those of ordinary skill in the art, no further explanation is needed.
- FIG. 20 depicts other possible operating environments for additional aspects of the exemplary embodiments.
- FIG. 20 illustrates the verification algorithm 86 and the peer-side verification algorithm 92 operating within various other processor-controlled devices 250 .
- FIG. 20 illustrates that the verification algorithm 86 and the peer-side verification algorithm 92 may entirely or partially operate within a set-top box (“STB”) ( 252 ), a personal/digital video recorder (PVR/DVR) 254 , a Global Positioning System (GPS) device 256 , an interactive television 258 , a tablet computer 260 , or any computer system, communications device, or processor-controlled device utilizing any of the processors above described and/or a digital signal processor (DP/DSP) 262 .
- STB set-top box
- PVR/DVR personal/digital video recorder
- GPS Global Positioning System
- DP/DSP digital signal processor
- the processor-controlled device 250 may also include wearable devices (such as watches), radios, vehicle electronics, clocks, printers, gateways, mobile/implantable medical devices, and other apparatuses and systems. Because the architecture and operating principles of the various devices 250 are well known, the hardware and software componentry of the various devices 250 are not further shown and described.
- Exemplary embodiments may be applied to any signaling standard. Most readers are thought familiar with the Global System for Mobile (GSM) communications signaling standard. Those of ordinary skill in the art, however, also recognize that exemplary embodiments are equally applicable to any communications device utilizing the Time Division Multiple Access signaling standard, the Code Division Multiple Access signaling standard, the “dual-mode” GSM-ANSI Interoperability Team (GAIT) signaling standard, or any variant of the GSM/CDMA/TDMA signaling standard. Exemplary embodiments may also be applied to other standards, such as the I.E.E.E. 802 family of standards, the Industrial, Scientific, and Medical band of the electromagnetic spectrum, BLUETOOTH®, and any other.
- GSM Global System for Mobile
- Exemplary embodiments may be physically embodied on or in a computer-readable storage medium.
- This computer-readable medium may include CD-ROM, DVD, tape, cassette, floppy disk, optical disk, memory card, memory drive, and large-capacity disks.
- This computer-readable medium, or media could be distributed to end-subscribers, licensees, and assignees.
- a computer program product comprises processor-executable instructions for verifying authenticity of electronic documents, as the above paragraphs explained.
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Abstract
Description
Claims (17)
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US16/548,963 US11044100B2 (en) | 2017-01-30 | 2019-08-23 | Validating documents |
US17/322,994 US11863686B2 (en) | 2017-01-30 | 2021-05-18 | Validating authenticity of electronic documents shared via computer networks |
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US20210273816A1 (en) | 2021-09-02 |
US20190394048A1 (en) | 2019-12-26 |
US11044100B2 (en) | 2021-06-22 |
US10419225B2 (en) | 2019-09-17 |
US20180219685A1 (en) | 2018-08-02 |
US20240187254A1 (en) | 2024-06-06 |
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