Abstract: A system, a computer readable storage medium, and methods for delivering content from a zero-knowledge edge server node in a content delivery network to an end user device, ensuring content control by a content provider (i.e. reduce piracy) while ensuring privacy of an end user device. One method includes publicizing that a particular content is available for download from the server node; initiating with the server node a communication session using a zero-knowledge protocol between the end user device and the server node operating in zero knowledge; downloading, while in the communication session, the particular content from the server node to the end user device; and receiving a response message from the end user device, including an indication of a content media player application, using the particular content, successfully executed at the end user device. The indication can be accompanied by a cryptographically verifiable proof of integrity.

Abstract: Methods and systems for event detection include defining a plurality of conditions that represent one or more synthetic events. Data from a plurality of data sources is aggregated across a period of time, multiple attack surfaces, and geographically distinct locations. The aggregated data is matched to the conditions to determine whether a synthetic event has occurred. A response to the synthetic event is formed to resist an attack.

Abstract: A third party intermediary and a data protection method, system, and non-transitory computer readable medium, include executing a program, via the processor, using zero-knowledge verifiable computing to remove private content from a pre-approved version of a content to ensure privacy of a condition of a user from a provider of the content.

Abstract: An invention for comparing utility and warranty of services in an information (IT) stack is provided. Embodiments of this invention are directed to comparing utility and warranty of services in an information technology (IT) stack comprising a plurality of layers, at least one of the plurality of layers having a set of services. In these embodiments, a utility and warranty tool provides this capability. Specifically, the utility and warranty tool comprises a determination component configured to determine, at each layer of the IT stack, a required utility and warranty (RUW) value for each of the set of services, wherein the RUW value represents a desired solution for implementing a business process; and determine, at each layer of the IT stack, an available utility and warranty (AUW) value for each of the set of services, wherein the AUW value is a measure of an ability of each of the set of services to satisfy the RUW at each layer of the IT stack.

Abstract: A third party intermediary and a data protection method, system, and non-transitory computer readable medium, include a content request receiving circuit configured to receive a service request from a user, to communicate the service request to a provider, and to receive pre-approved versions of content from the provider, a content matching circuit configured to match a pre-approved version of content of the pre-approved versions of content to the user based on a condition of the user, a user data receiving circuit configured to receive user data to complete the pre-approved version of the content, and a zero-knowledge verifiable computing circuit configured to execute a program using zero-knowledge verifiable computing to remove private content from the pre-approved version of the content to ensure privacy of the condition of the user from the provider.

Abstract: An example operation may include one or more of connecting, by a multi-party smart contract server, to a blockchain network configured to store cryptographic proofs, generating, by the multi-party smart contract server, a proposed transaction, providing, by the multi-party smart contract server, the proposed transaction to a plurality of participant nodes, receiving, by the multi-party smart contract server, responses to the proposed transaction from the participant nodes, executing, by the multi-party smart contract server, a smart contract to request from respondent participant nodes attestations of required conditions of the smart contract, receiving and verifying, by the multi-party smart contract server, the attestations from the respondent participant nodes, and executing the proposed transaction and posting a cryptographic proof of a successful execution to the blockchain, by the multi-party smart contract server, in response to a satisfaction of the required conditions of the smart contract.

Abstract: A method, system and computer program product for providing an attestation of an operating environment. The method begins with booting, with a secure boot process with attestation, at least one processor with secure processor technology that allows user-level code to allocate private regions of memory which are protected from processes running at higher privilege levels. Next, one or more operating system containers are loaded in a server or a virtual machine. Each of the one or more operating system containers use each of their own process space and network space in order to operate on a single operating system kernel without creating separate virtual machines. If a set of one or more conditions of booting and loading has been satisfied using zero-knowledge verifiable computing then an attestation is sent calculated using a zero-knowledge verifiable computing technique to a second processor-based device.

Abstract: A computer system includes processors that execute instructions stored on storage media to sort data using a data gravity well membrane. When executed, the program instructions: convert raw data into a first logical address that describes metadata about a first payload data; compare the first logical address to a second logical address for a second payload data to derive a Hamming distance between the first and second logical addresses; create a data vector for the second payload data that includes the Hamming distance between the first and second logical addresses; sort data vectors into specific data gravity wells on a data gravity wells membrane according to the Hamming distance stored in the data vector; incorporate a context object and a non-contextual data object into the data vector for the second payload data; and sort the second payload data into specific data gravity wells on the data gravity wells membrane.

Abstract: A method securely manages smart card transactions. A processing entity receives a smart card identifier from a smart card, where the smart card is a virtual card on a mobile computing device that comprises a processor, where the smart card identifier is a transaction-specific identifier for a transaction. A protected application is received at the mobile computing device, where a received protected application initially cannot be utilized by an operating system for execution by the processor. A security object is received at the mobile computing device, where the security object is used to convert the received protected application into an executable application that can be utilized by the operating system for execution by the processor. The processor executes the executable application to act as the virtual card, where the virtual card provides a functionality of a predefined physical electronic card.

Abstract: A method, system, and/or computer program product securely manages smart card transactions. A processing entity receives a smart card identifier from a smart card. The smart card identifier is a transaction-specific identifier for a transaction, and contains no financial data about a holder of the smart card. The smart card identifier is hidden from a second party to the transaction. The processing entity receives transaction data for the transaction from the second party, where the transaction data is blocked from the smart card. In response to determining that the transaction is valid, the processing entity issues a transaction confirmation to the smart card and a transaction approval to the second party to the transaction.

Abstract: Technical solutions are described for action recommendation in a multimodal messaging system. An example method includes accessing a prior message received by a user. The method also includes identifying a first set of attributes associated with the prior message. The method also includes identifying a prior action selected by the user in response to the prior message. The method also includes receiving a new message directed for the user. The method also includes identifying a second set of attributes associated with the new message. The method also includes generating a list of recommended actions in response to the new message based on a comparison of the first set of attributes and the second set of attributes. The method also includes presenting the list of recommended actions to the user.

Abstract: An invention for comparing utility and warranty of services in an information (IT) stack is provided. Embodiments of this invention are directed to comparing utility and warranty of services in an information technology (IT) stack comprising a plurality of layers, at least one of the plurality of layers having a set of services. In these embodiments, a utility and warranty tool provides this capability. Specifically, the utility and warranty tool comprises a determination component configured to determine, at each layer of the IT stack, a required utility and warranty (RUW) value for each of the set of services, wherein the RUW value represents a desired solution for implementing a business process; and determine, at each layer of the IT stack, an available utility and warranty (AUW) value for each of the set of services, wherein the AUW value is a measure of an ability of each of the set of services to satisfy the RUW at each layer of the IT stack.

Abstract: A method, computer program product and system for generating and maintaining synthetic context events. The steps include searching a data structure of synthetic context-based objects and associated data for a pattern of context exhibited at a first specified frequency within a first specified time period; combining the synthetic context-based objects and associated data exhibiting the pattern of context exhibited at the first specified frequency within the first specified time period into a synthetic context event; and optimizing and maintaining the synthetic context event by searching the data structure for additional synthetic context-based objects and associated data exhibiting a same pattern of context at a second specified time period different than the first specified time period and adding the additional synthetic context-based objects and associated data to the synthetic context event.

Abstract: An invention for comparing utility and warranty of services in an information (IT) stack is provided. Embodiments of this invention are directed to comparing utility and warranty of services in an information technology (IT) stack comprising a plurality of layers, at least one of the plurality of layers having a set of services. In these embodiments, a utility and warranty tool provides this capability. Specifically, the utility and warranty tool comprises a determination component configured to determine, at each layer of the IT stack, a required utility and warranty (RUW) value for each of the set of services, wherein the RUW value represents a desired solution for implementing a business process; and determine, at each layer of the IT stack, an available utility and warranty (AUW) value for each of the set of services, wherein the AUW value is a measure of an ability of each of the set of services to satisfy the RUW at each layer of the IT stack.

Abstract: A method prevents a cascading failure in a complex stream computer system. The method includes receiving binary data that identifies multiple subcomponents in a complex stream computer system. These identified multiple subcomponents include upstream subcomponents that generate multiple outputs and a downstream subcomponent that executes a downstream computational process that uses the multiple outputs. The method dynamically adjusts which of multiple inputs are used by the downstream subcomponent in an attempt to generate an output from the downstream subcomponent that meets a predefined trustworthiness level for making a first type of prediction. If no variations of execution of one or more functions used by the downstream subcomponent ever produce an output that meets the predefined trustworthiness level for making a first type of prediction, then computer hardware executes a new downstream computational process that produces a different second type of prediction.

Abstract: A method, computer product, and computer system of minimizing surprisal data comprising: at a source, reading and identifying characteristics of a genetic sequence of an organism; receiving an input of rank of at least two identified characteristics of the genetic sequence of the organism; generating a hierarchy of ranked, identified characteristics based on the rank of the at least two identified characteristics of the genetic sequence of the organism; comparing the hierarchy of ranked, identified characteristics to a repository of reference genomes; and if at least one reference genome from the repository matches the hierarchy of ranked, identified characteristics, breaking the matched reference genomes into pieces, combining pieces associated with the identified characteristics from at least one matched reference genome to form a filter pattern to be compared to the nucleotides of the genetic sequence of the organism, to obtain differences and create surprisal data.

Abstract: Automatically create abstractions of large sets of data and then probabilistic inferences based on the abstractions. The probabilistic inference is derived from the logical hierarchy using Bayesian statistics to infer a probabilistic event based upon a characteristic of the data in a hierarchy of synthetic events. The logical hierarchy of a set of a plurality of synthetic events is related by at least one characteristic of data is built by accessing a first set of data. The first set of data is organized based on a first characteristic. A second set of data different than the first set of data is accessed. A second set of data based is organized based on a second characteristic. The first characteristic and the second characteristic are processed to generate a synthetic event. The synthetic event is a third set of data representing a result of a mathematical computation defined by an operation S(p1)==>F(p2).

Abstract: A computer product and system of minimizing surprisal data comprising: at a source, reading and identifying characteristics of an organism's background associated with a genetic sequence of the organism; receiving an input of rank of at least two identified characteristics of the genetic sequence; generating a hierarchy of ranked, identified characteristics based on the rank of the identified characteristics; comparing the hierarchy of ranked, identified characteristics to a repository of reference genomes; and if at least one reference genome from the repository matches the ranked characteristics, breaking the matched reference genomes into pieces, combining pieces associated with the identified characteristics from the matched reference genome to form a filter pattern to be compared to the nucleotides of the genetic sequence of the organism. The differences from the comparison are used to create surprisal data representing an entire genome of the organism.

Abstract: A processor-implemented method, computer program product, and/or computer system predicts a future event. A first bit array, which describes characteristics of a single entity while experiencing a first event, is generated using values received from a set of physical test devices. After the first single entity experiences a different second event, a second bit array is generated from another set of physical test devices. The second bit array describes characteristics of an event cohort, which is made up of entities, other than the single entity, which also experience the second event, but which never experienced the first event. When another single entity experiences the first event, a determination is made as to whether that other single entity has characteristics from both the first bit array and the second bit array. If so, a prediction is made that the other single entity will also experience the second event.

Abstract: A computer hardware-implemented method, system, and/or computer program product prevents a cascading failure in a complex stream computer system causing an untrustworthy output from the complex stream computer system. Multiple upstream subcomponents in a complex stream computer system generate multiple outputs, which are used as inputs to a downstream subcomponent, wherein the multiple upstream subcomponents execute upstream computational processes. An accuracy value is assigned to each of the multiple outputs from the upstream subcomponents, and weighting values are assigned to each of the inputs to the downstream subcomponent. If using the accuracy values and weighting values fails to adjust the downstream subcomponent to meet a predefined trustworthiness level for making a first type of prediction, then a new downstream computational process that produces a different second type of prediction is executed.