Embodiments of an invention for using dark bits to reduce physically unclonable function (PUF) error rates are disclosed. In one embodiment, an integrated circuit includes a PUF cell array and dark bit logic. The PUF cell array is to provide a raw PUF value. The dark bit logic is to select PUF cells to mark as dark bits and to generate a dark bit mask based on repeated testing of the PUF cell array.

A system and method for block reconciliation of interactions comprising a network-connected block reconciliation computer connected to a plurality of connected devices and to one or more blockchains to enable an object compiler to receive a plurality of criteria from a requesting device. The compiler the receives a plurality of blocks from the public ledger blockchains based on the criteria. Each block corresponding to a preconfigured interaction object previously written by devices either during or after the completion of a transaction. The compiler analyzes the preconfigured interaction objects to determine if there is corresponding supplemental object. The compiler requests the supplemental blocks from the blockchains, and processes supplemental objects based on type, if no corresponding supplemental object it found, the associated interaction object is flagged.

A system and method for block reconciliation of interactions comprising a network-connected block reconciliation computer connected to a plurality of connected devices and to one or more blockchains to enable an object compiler to receive a plurality of criteria from a requesting device. The compiler the receives a plurality of blocks from the public ledger blockchains based on the criteria. Each block corresponding to a preconfigured interaction object previously written by devices either during or after the completion of a transaction. The compiler analyzes the preconfigured interaction objects to determine if there is corresponding supplemental object. The compiler requests the supplemental blocks from the blockchains, and processes supplemental objects based on type, if no corresponding supplemental object it found, the associated interaction object is flagged.

In one embodiment, a secure tracking method and apparatus for cargo in a physical commodity (a container for physical goods) is provided. A wireless ID communicator is provided in each container. A receiver on a transporter (a ship, truck, airplane, or drone) receives periodic goods status updates from a plurality of wireless ID communicators in containers on the transporter. The status updates are transmitted to a central blockchain maintained in a central blockchain database remote from the transporter. The status updates are also added to a local sidechain of the blockchain maintained in a side chain database on the transporter.

In one embodiment, a secure tracking method and apparatus for cargo in a physical commodity (a container for physical goods) is provided. A wireless ID communicator is provided in each container. A receiver on a transporter (a ship, truck, airplane, or drone) receives periodic goods status updates from a plurality of wireless ID communicators in containers on the transporter. The status updates are transmitted to a central blockchain maintained in a central blockchain database remote from the transporter. The status updates are also added to a local sidechain of the blockchain maintained in a side chain database on the transporter.

A computer system that interfaces with a blockchain is provided. The computer system receives match data for a match between a first data transaction request that is associated with a first identifier and a second data transaction request that is associated with a second identifier. A first blockchain transaction is generated based on the match data and stored to a blockchain. At least one further blockchain transaction is generates that splits the match into two different transactionsone between the first identifier and an intermediary and the second between the intermediary. These are recorded to the blockchain via the further blockchain transactions.

A computer system that interfaces with a blockchain is provided. The computer system receives match data for a match between a first data transaction request that is associated with a first identifier and a second data transaction request that is associated with a second identifier. A first blockchain transaction is generated based on the match data and stored to a blockchain. At least one further blockchain transaction is generates that splits the match into two different transactionsone between the first identifier and an intermediary and the second between the intermediary. These are recorded to the blockchain via the further blockchain transactions.

A computer-implemented method, comprising: dividing a first binary image into a plurality of variable-sized chunks, wherein the first binary image is an aggregate of a plurality of files, and wherein the dividing does not depend on file boundaries; and computing hashes of the variable-sized chunks, and storing the hashes in a content addressable storage (CAS) with the hashes as keys.

A computer-implemented method, comprising: dividing a first binary image into a plurality of variable-sized chunks, wherein the first binary image is an aggregate of a plurality of files, and wherein the dividing does not depend on file boundaries; and computing hashes of the variable-sized chunks, and storing the hashes in a content addressable storage (CAS) with the hashes as keys.

A semiconductor device is provided. The semiconductor device includes a unique-information generation portion, a detection portion, a memory portion, and a readout portion. The unique-information generation portion operates in a plurality of operation environments to generate unique information. The unique information includes stable information and unstable information. The stable information is constant in the plurality of operation environments, and the unstable information is different in at least two of the plurality of operation environments. The detection portion detects the unstable information. The memory portion stores the unique information and identification information for identifying the unstable information. The readout portion reads out the unique information and the identification information and outputs the unique information and the identification information to an external portion.