Abstract: Item mortality, such as failure rates and expected remaining lifespan, may be determined based on tracked environmental conditions during transit, such as vibration, temperature, and other conditions. For complex items, multiple different internal components may have varying degrees of susceptibility to damage from unfavorable conditions, with each of the components able to individually cause a failure of the entire item. Thus, the specific set of internal components may drive item mortality prediction. Sensors may be located in shipping containers that share data collected throughout the supply chain, using a blockchain, to increase confidence in the integrity of the data. The use of mortality models generated with anonymized component or process data may enable manufacturers to protect trade secrets, such as the specific components or manufacturing processes used, even while leveraging the manufacturer's detailed knowledge of an item.

Abstract: A method for tracking an item in a distributed environment is provided. At least one node in a network adds a new block to a first cryptographically verifiable ledger represented by a first sequence of blocks that is stored in one or more non-transitory computer-readable media. The new block added to the first cryptographically verifiable ledger contains a component identifier and a hash of a previous block in the first sequence of blocks. The at least one node in the network adds a new block to a second cryptographically verifiable ledger represented by a second sequence of blocks that is stored in the one or more non-transitory computer-readable media. The new block added to the second cryptographically verifiable ledger contains a destination identifier, the first sequence of blocks, and a hash of a previous block in the second sequence of blocks.

Abstract: A method for tracking an item in a distributed environment is provided. At least one node in a network adds a new block to a first cryptographically verifiable ledger represented by a first sequence of blocks that is stored in one or more non-transitory computer-readable media. The new block added to the first cryptographically verifiable ledger contains a component identifier and a hash of a previous block in the first sequence of blocks. The at least one node in the network adds a new block to a second cryptographically verifiable ledger represented by a second sequence of blocks that is stored in the one or more non-transitory computer-readable media. The new block added to the second cryptographically verifiable ledger contains a destination identifier, the first sequence of blocks, and a hash of a previous block in the second sequence of blocks.

Abstract: Systems, methods, and computer-readable storage media for identifying, via a processor, a plurality of causes for a vehicle to record data on a blockchain, wherein one cause in the plurality of causes is a repetition of a previous journey. The system generates route comparison data by comparing, via a processor as the vehicle is moving, current journey data for a current journey to previous journey data of at least one previous journey by: comparing a current journey start time to a previous journey start time; comparing a current journey travel time to a previous journey travel time; and comparing current journey route coordinates to previous journey route coordinates. Then based on the route comparison data, the system generates a side block which references the previous block in the block chain but contains only distinctions from the previous block. The side block is then added to the block chain.

Abstract: A method for ensuring that a computer readable information is authentic, including: generating a public key associated with the computer readable information, hashing the computer readable information to obtain a hashed computer readable information, encrypting the hashed computer readable information with a private key to create a digital signature, wherein the hashed computer readable information and the digital signature are stored on a block of a blockchain, authenticating the user computing device in response to a request from the user computing device to download the computer readable information, transmitting the public key and the digital signature to an authenticated user computing device, and instructing the authenticated user computing device to decrypt the digital signature using the public key to obtain the hashed computer readable information, and download the hashed computer readable information to the authenticated user computing system to retrieve the computer readable information.

Abstract: Systems, methods, and non-transitory computer-readable storage media for using a distributed ledger to track and manage industrial fixture assets, such as shelves, refrigerators, ovens, and air conditioning units. The distributed ledger is spread among multiple devices and, as devices report new data (such as current and voltage levels), additions to the distributed ledger can be made. The distributed ledger may use blockchain technologies, and each device in the multiple device may have distinct wallets which are used to pay for maintenance requests or other actions.

Abstract: Systems, methods, and non-transitory computer-readable storage media for using a distributed ledger to track and manage information technology fixture assets, such as cash registers, computers, MC40s, and electronic scales. The distributed ledger is spread among multiple devices and, as devices report new data (such as current and voltage levels), additions to the distributed ledger can be made. The distributed ledger may use blockchain technologies, and each device in the multiple device may have distinct wallets which are used to pay for maintenance requests or other actions.

Abstract: Systems and methods are disclosed that enable multidimensional privacy control for consumers, to more effectively control their privacy, even while accepting some targeted marketing that provides time-savings, monetary savings, and other benefits. Agreements may involve smart contracts implemented on a blockchain, to provide time-limited access to marketing data, such as purchase histories recorded in receipts held by a digital wallet. The access may be specified in differing tiers of visibility, with certain classes of information withheld, and different types of recipients allowed or blocked. This permits consumers to intelligently select a trade-off between sharing information and receiving value resulting from that sharing, with the consumers in control of the specific type of information shared, and the types of entities that my receive particular information. Thus, privacy may be controlled in a multidimensional manner that is advantageous to consumers.

Abstract: Item mortality, such as failure rates and expected remaining lifespan, may be determined based on tracked environmental conditions during transit, such as vibration, temperature, and other conditions. For complex items, multiple different internal components may have varying degrees of susceptibility to damage from unfavorable conditions, with each of the components able to individually cause a failure of the entire item. Thus, the specific set of internal components may drive item mortality prediction. Sensors may be located in shipping containers that share data collected throughout the supply chain, using a blockchain, to increase confidence in the integrity of the data. The use of mortality models generated with anonymized component or process data may enable manufacturers to protect trade secrets, such as the specific components or manufacturing processes used, even while leveraging the manufacturer's detailed knowledge of an item.

Abstract: A blockchain-based method for sharing confidential information includes: receiving the confidential information shared by a plurality of parties; receiving an agreement regarding the confidential information; receiving a financial bond from each party who is responsible for the agreement for a period time of the agreement; storing the confidential information, the agreement, and the financial bond in corresponding blocks of a blockchain; receiving behavior data of a party wherein the behavior data is associated with the confidential data and the agreement; and analyzing the behavior data against the confidential data and the agreement to determine whether the party violates the agreement.

Abstract: A method includes: receiving, from each of a plurality of parties, one or more background intellectual property documents; storing the one or more background intellectual property documents in a block of a blockchain; receiving a joint intellectual property document developed by two or more of the plurality of parties; storing the joint intellectual property document in a different block of the blockchain; comparing and mapping the joint intellectual property document to the one or more background intellectual property documents; generating, based on the comparison and mapping, an affinity level between the joint intellectual property document and the one or more background intellectual property documents; and determining, based on the affinity level, an ownership of the joint intellectual property document.

Abstract: A method for tracking an item in a distributed environment is provided. At least one node in a network adds a new block to a first cryptographically verifiable ledger represented by a first sequence of blocks that is stored in one or more non-transitory computer-readable media. The new block added to the first cryptographically verifiable ledger contains a component identifier and a hash of a previous block in the first sequence of blocks. The at least one node in the network adds a new block to a second cryptographically verifiable ledger represented by a second sequence of blocks that is stored in the one or more non-transitory computer-readable media. The new block added to the second cryptographically verifiable ledger contains a destination identifier, the first sequence of blocks, and a hash of a previous block in the second sequence of blocks.

Abstract: A system and a method for the verification and visualization of subcomponents in a completed assembly is disclosed. The system receives upstream product component sourcing manifest from upstream source addresses. The system receives one or more downstream product component sourcing manifest from one or more downstream source addresses. The system generates a cryptographic verifiable ledger of transaction records based on the upstream and downstream manifests and upstream and downstream source addresses. The system propagates transaction records across a network. The system retrieves the records and instantiates a display tree graph structure based on the transactions in the master cryptographic ledger.

Abstract: A method for determining a provenance of an item to be sold on a marketplace is provided. The method includes: generating, by a first computer, a blockchain for the item to be sold on the marketplace; storing the blockchain of the item on the first computer; receiving, by the first computer, from a second computer a request of determining the provenance of the item; in response to the request, sending, by the first computer, to the second computer the blockchain of the item; receiving, by the second computer, the blockchain of the item from the first computer; analyzing, by the second computer, the blockchain of the item in accordance to the set of access authorization levels; and determining, by the second computer, based on the analyzation, whether the item has an acceptable provenance.

Abstract: Systems, methods and device for assisting in a delivery transaction. The system can include a scout unmanned aerial vehicle comprising a processor, a memory storage device in communication with the processor, and an imaging source in communication with the processor. The imaging source can monitor a geographical area within a predefined distance from a location that an unmanned vehicle is to deliver a product. The processor can determine an optimal path within the geographical area for the unmanned vehicle to deliver the product the location based on the monitoring of the geographical area. Methods and devices similar to such a system are also disclosed herein.

Abstract: Systems, methods, and computer-readable storage media for using multilayered authentication mechanisms, combined with hashing functions, to provide increased security and accuracy in identification of a user. One example is using facial biometric data as input to a hash function, and comparing that hash function output to previously stored hash function outputs to determine if the facial data captured matches that of a known user. Then, once a facial match is determined using the hashed values, a secondary confirmation is requested and/or received. If that secondary confirmation also matches stored data, the user is authorized to perform the transaction or access the restricted area.

Abstract: Systems, apparatuses, and methods are provided herein for autonomous vehicles task management and organization. A system for organizing autonomous product delivery vehicles comprises a locomotion system of a first autonomous vehicle, a communication device, a memory device, and a control circuit. The control circuit being configured to retrieve one or more vehicle tasks assigned to the first autonomous vehicle from a hash chain database, decrypt the task parameters with a private key of the first autonomous vehicle stored on the memory device, identify a second autonomous vehicle as a transferee of the one or more vehicle tasks based on transfer rules in the task parameters, and update the hash chain database with a new block comprising a hash of preceding data in the hash chain database and the task parameters of the one or more vehicle tasks encrypted with a public key of the second autonomous vehicle.

Abstract: A method of drone-drone communications using blockchain includes: determining operational parameters of a first drone; encrypting the operational parameters of the first drone; storing the encrypted operational parameters of the first drone in a block of a blockchain; determining when a second drone is in proximity of the first drone; retrieving the encrypted operational parameters of the first drone from the block of the blockchain; decrypting the encrypted operational parameters of the first drone; retrieving the operational parameters of the first drone based on the decryption; and configuring the second drone with the operational parameters of the first drone.

Abstract: A system for order delivery security using blockchain includes a container configured to: add a new block to a blockchain when an item of a customer order is added to or removed from the container, wherein the new block contains an order ID of the customer order, a customer name, items in the customer order, a delivery address of the customer order, and a delivery date of the customer order; a delivery vehicle configured to: carry the container; and add a new block to the blockchain when an item of the customer order is added to or removed from the vehicle, wherein the new block contains the order ID of the customer order, the customer name, the items in the customer order, the delivery address of the customer order, and the delivery date of the customer order; and a lock configured to: be attached to and secure the container; store a copy of the blockchain locally in memory of the lock; and communicate with the delivery vehicle.

Abstract: Systems, methods, and computer-readable storage media for identifying, via a processor, a plurality of causes for a vehicle to record data on a blockchain, wherein one cause in the plurality of causes is a repetition of a previous journey. The system generates route comparison data by comparing, via a processor as the vehicle is moving, current journey data for a current journey to previous journey data of at least one previous journey by: comparing a current journey start time to a previous journey start time; comparing a current journey travel time to a previous journey travel time; and comparing current journey route coordinates to previous journey route coordinates. Then based on the route comparison data, the system generates a side block which references the previous block in the block chain but contains only distinctions from the previous block. The side block is then added to the block chain.