A system for monitoring flows of people inside a predetermined area includes at least one receiving unit with at least one antenna adapted to receiving identification data transmitted by mobile communication devices present in a monitored area, the receiving unit also provided with a device for processing the data collected by the antenna; a processing unit programmed to perform statistical processing of the data collected by the antenna and processed by the respective processing device; and a data transmission network which connects the at least one receiving unit with the statistical data processing unit. Additionally, the processing device which receives the data collected by the antenna is programmed to perform an anonymization process with compression of the data, such that the data transmitted on the data transmission network are data that cannot be related back to the individual mobile devices that have generated them.

A Trustonic DRM Plug-in is provided that can be downloaded and operate in conjunction with an Android framework. The solution also includes a PVP with the downloadable DRM. The system includes components that can be added by Trustonic based on the Android 4.3 Framework in addition to current t-base 300 that can be used by any DRM vendor. The system enables the DRM to be downloaded in the field since all DRMs could use the standard API services of the Android 4.3 OS. With a codec component employed like H.264 or HEVC that can use the PVP with the downloaded DRM component, the Android video player can use the component to satisfy HD content security requirements.

A system and method for establishing a verified computing environment for executing data-driven contracts, comprising a cryptographic directed acyclic graph object model of a data-driven contract, wherein at least a subset of the objects in the MDAG correspond to clause state of at least one programmable clause of the data-driven contract; at a computing environment, administrating the data-driven contract in accordance with the MDAG which can include at least one execution instance comprised of: receiving a contract input to contract logic of the data-driven contract, processing the input according to the clause logic, in response to the contract input, generating at least one updated state object and generating at least one output object, and for each generated object, hash-linking the generated object to an object associated with the creation of the generated object.

A computer-implemented method, computer program product and computing system for: processing an unencoded data file to identify a plurality of file segments, wherein the unencoded data file is a dataset for use with a blockchain process; mapping each of the plurality of file segments to a portion of a dictionary file to generate a plurality of mappings that each include a starting location and a length, thus generating a related encoded data file based, at least in part, upon the plurality of mappings; receiving a request to manipulate the unencoded data file from the blockchain process; and processing the related encoded data file based, at least in part, upon the plurality of mappings and the dictionary file to generate a modified encoded data file that represents the requested manipulations of the unencoded data file.

A computer-implemented method according to one aspect includes creating an initialization vector, utilizing an instance of plaintext and a secret key; encrypting the instance of plaintext, utilizing the initialization vector, the secret key, and the instance of plaintext; combining the initialization vector and the encrypted instance of plaintext to create a ciphertext string; and sending the ciphertext string to a storage device performing deduplication.

A system and method for compression and encryption of data includes creating a plurality of hash table keys by applying a bit mask to an encryption key, applying a hashing function to the encryption key, creating a hash table using the hashing function, the hash table including the plurality of hash table keys and index values, the index values each identifying a location of data in the hash table connected to one of the plurality of hash table keys, receiving input data, and encoding the input data to generate encoded data, the encoding including both compression and encryption of the input data using the encryption key and the hash table.

Contributions to a work by contributors having respective levels in a defined hierarchy are recorded in one or more blockchain transactions. One or more lower-level contributors provide, to a higher-level contributor, one or more lower-level contributions respectively, and the higher-level contributor provides a higher-level contribution responsive to the one or more lower-level contributions. A higher-level contributor transaction comprises one or more inputs, which in turn comprise: one or more pointers to one or more spendable outputs of one or more lower-level contributor transactions and one or more transaction signatures. The transactions contain contributions commitments which, together with the one or more pointers, represent the relationship between the higher-level contributor and the lower-level contributors within the defined hierarchy. The one or more transaction signatures prove that relationship.

A method, system and computer program product for reducing the amount of helper data that needs to be stored using two innovative techniques. The first technique uses bit-error-rate (BER)-aware lossy compression. By treating a fraction of reliable bits as unreliable, it effectively reduces the size of the reliability mask. With the view of practical costs of production-time error characterization, the second technique enables economically feasible across-temperature per-bit BER evaluation for use in a number of fuzzy extractor optimizations based on bit-selection to reduce overall BER (with or without subsequent compression) using room-temperature only production-time characterization. The technique is based on stochastic concentration theory and allows efficiently forming confidence intervals for average across-temperature BER of a selected set of bits. By using these techniques, it is economically feasible to achieve a dramatic reduction in the amount of helper data that needs to be stored in non-volatile memory and/or one-time-programmable memory.

A method for execution by a dispersed storage and task (DST) client module includes issuing a read threshold number of read slice requests are issued to storage units of the set of storage units. One or more encoded slices of a selected read threshold number of encoded slices are received. When a next encoded data slice of a decode threshold number of encoded data slices is received within a response timeframe, outputting of the next encoded data slice is initiated. When the next encoded data slice is not received within the response timeframe, receiving of another decode threshold number of encoded slices of the set of encoded slices is facilitated. The other decode threshold number of encoded slices are decoded to produce recovered encoded data slices, where the recovered encoded data slices includes at least a recovered next encoded data. Outputting of the recovered next encoded data slice is initiated.

A storage network operates by: issuing a read threshold number of read slice requests to storage units of a set of storage units, where the read threshold number of read slice requests identifies a read threshold number of encoded slices of a set of encoded slices corresponding to a data segment; when one or more other encoded data slices of the read threshold number of encoded slices is not received within a time threshold, facilitating receiving a decode threshold number of encoded slices of the set of encoded slices; decoding the decode threshold number of encoded slices to produce recovered encoded data slices, wherein a number of the recovered encoded data slices corresponds to the read threshold number minus a number of the encoded slices received within the time threshold; and outputting the recovered encoded data slices and the encoded slices of the read threshold number of encoded slices received within the time threshold.