Abstract: An example operation may include one or more of computing historical patterns related to fraudulent attempts from a transaction log, predicting future fraud attempts from public data, correlating the historical patterns and the predicted future fraud attempts, modifying one or more endorsement policies based on the correlations, and adding the modified one or more endorsement policies to a smart contract.

Abstract: Cognitive assistants which use feedback to highlight relevant points of interest to a user so that recommendations can be provided to the user based upon learned knowledge of the users preferences, tastes and customs are provided. For this purpose a computer-implemented method includes capturing user data of a user from a plurality of sensors, determining a cognitive state of the user from the captured data, correlating the user data to the cognitive state of the user, and making recommendations to the user based on the correlation of the user data and the determined cognitive state of the user.

Abstract: Techniques are described with regard to client authentication management. An associated method includes constructing an authentication resolution model specific to a client based upon error patterns respectively included in a plurality of erroneous authentication submissions inconsistent with a proper authentication submission. The method further includes receiving, via an authentication interface, a new erroneous authentication submission inconsistent with the proper authentication submission. Responsive to determining that the new erroneous authentication submission corresponds to an authentication exception defined in the authentication resolution model, the method further includes completing authentication. Responsive to determining that the new erroneous authentication submission corresponds to an authentication warning defined in the authentication resolution model, the method further includes performing at least one client account warning protection activity.

Abstract: A method and system for automatically controlling a vehicle is provided. The method includes generating an original route of travel for a first vehicle for travel from an original location to a destination location. The vehicle is directed from the original location to the destination location such that the vehicle initiates motion and navigates the original route of travel towards the destination location in accordance with the original route of travel. Monitored vehicular attributes of the first vehicle are received and environmental attributes associated with the original route of travel are monitored with respect the first vehicle. Navigational issues associated with the vehicle traveling along the original route of travel are determined based on the monitored vehicular attributes and results of monitoring the environmental attributes. The navigational issues are used to determine if the vehicle should continue to travel along the original route of travel.

Abstract: Disclosed embodiments provide techniques for computer networks infrastructure automatic convergence. The network devices are enabled to communicate with other adjacent network devices, independently of the device type, about detected changes that could affect them and together generate consensus utilizing a blockchain mechanism about the configuration changes that are accepted. A priority table specifies a priority for various device classes on a network. The devices, in response to a new network topology, determine if a new device configuration is necessary. When a new device configuration is necessary, data corresponding to the new device configuration is put into a blockchain block and appended to a network blockchain that is maintained by one or more nodes (devices) on the network. In this way, an immutable history of network configurations is maintained, improving network security and reliability.

Abstract: In a computer implemented approach for securely updating vehicle software the computer monitors data associated with a vehicle, determines that a software update is necessary, requests validation of a software update, receives validation of the software update from the network, updates the vehicle software with the received software update, receives an updated blockchain ledger entry associated with the vehicle, and utilizes the updated vehicle software to control the vehicle.

Abstract: A method, computer system, and a computer program product for accessing data in a network is provided. The present invention may include reading a control blockchain, by a non-trusted node, to enable the non-trusted node to read an asset from a trusted node blockchain on a trusted node. The present invention may also include reading the trusted node blockchain by the non-trusted node. The present invention may then include creating, by the non-trusted node, a new block on a temporary blockchain based on the read trusted node blockchain. The present invention may further include transmitting, by the non-trusted node, the created new block to the trusted node, wherein transmitting the created new block causes the created new block to be added to the trusted node blockchain.

Abstract: Method of collision avoidance which includes: sensing parameters by a first vehicle with respect to relative movements of the first vehicle and a second vehicle; responsive to determining by the first vehicle, based on the sensed parameters, of an impending collision with the second vehicle, communicating, by the first vehicle, a query to the second vehicle as to if the second vehicle can perform a corrective action to avoid a collision with the first vehicle; and performing, by the first vehicle and independent of any corrective action performed by the second vehicle, a corrective action to avoid a collision with the second vehicle.

Abstract: Techniques are described with regard to client authentication management. An associated method includes constructing an authentication resolution model specific to a client based upon error patterns respectively included in a plurality of erroneous authentication submissions inconsistent with a proper authentication submission. The method further includes receiving, via an authentication interface, a new erroneous authentication submission inconsistent with the proper authentication submission. Responsive to determining that the new erroneous authentication submission corresponds to an authentication exception defined in the authentication resolution model, the method further includes completing authentication. Responsive to determining that the new erroneous authentication submission corresponds to an authentication warning defined in the authentication resolution model, the method further includes performing at least one client account warning protection activity.

Abstract: Aspects provide for design template selectors, wherein processors are configured to determine a design pattern from a user input comprising a spatial arrangement of different discrete constituent design components, and determine that the design pattern input spatial arrangement of constituent components matches a portion of a selected one of a knowledge base plurality of completed design patterns that each comprise different fixed spatial arrangements of discrete constituent components within a threshold amount of confidence. Thus, aspects present the selected one of the knowledge base design patterns to the user as a suggested template for use in completing the design.

Abstract: An approach is provided for authenticating a payment card. Information is read from the payment card being used for a purchase. The information includes an identifier and data on a chip, in braille cells, and in markings in the payment card. A hash read from the chip, the identifier, and security codes derived from the braille cells and the markings are sent to a payment system. A hash of an (n+1)-th block of a blockchain is received and recorded in the chip in response to validations of the hash as matching a hash of an n-th block of the blockchain, the identifier, and the first and second security codes, and a generation of the hash of the (n+1)-th block. Data about the purchase and the hash of the (n+1)-th block are sent to the payment system.

Abstract: Determining whether a proposed message contextually fits a messaging session. A method obtains a proposed message to be sent in a messaging session between users of a messaging service. The method identifies a context of the proposed message. The method determines whether the proposed message contextually fits the messaging session based on characteristics of an expected response to the proposed message, the characteristics of the expected response being based on patterns of communication between the users. The method also performs processing based on whether the proposed message contextually fits the messaging session.

Abstract: Security system devices are configured to retrieve historic first sensor data acquired from a protected area in response to receiving a threat alarm notification from a peer security system that is related to an area monitored by the peer security system, wherein the protected area is different from and geographically separate from the area monitored by the peer security system. The system devise determines that a security threat is indicated for the protected area by assessing the retrieved selection of historic first sensor data as a function of a relation of the threat alarm notification from the peer security system to the protected area, wherein assessing the historic first sensor data without the function of the relation of the threat alarm notification from the peer security system to the protected area results in determining that the security threat is not indicated for the protected area.

Abstract: Embodiments of the present invention provide a circuit board enclosed in an encasing with processors and memory, configured to receive and analyze data, and containing computer logic capable of receiving and analyzing data.

Abstract: Embodiments of the present invention provide systems and methods for analyzing cognitive status. The method includes capturing a set of observables for a subject based on their interaction with smart objects, such as smart blocks or smart items. The method further includes accessing data sets, such as medical data about cognitive function, scientific data about cognitive function, and historical data for the subject, analyzing the set of observables, and generating a report about the cognitive abilities of the subject based on the analysis.

Abstract: Systems and methods for cognitive emergency task coordination are disclosed. In embodiments, computer-implemented method comprises: receiving, by a computing device, participant data from one or more participant devices; inferring, by the computing device, skills or expertise of one or more available participants based on the participant data; generating, by the computing device, a task list including tasks associated with an emergency; assigning, by the computing device, select participants of the one or more available participants to one or more of the tasks in the task list based on the inferred skills or expertise; and sending, by the computing device, coordination data to the select participants, the coordination data including information regarding the one or more of the tasks assigned to the respective select participants.

Abstract: A method, computer system, and a computer program product for selecting a media playlist based on learning past behaviors of a user is provided. The present invention may include receiving a plurality of current user data. The present invention may then include receiving a plurality of current external conditions data. The present invention may also include enriching a plurality of current raw data associated with the plurality of current user data, the plurality of user reactions to the media selections and the plurality of current external conditions data. The present invention may further include determining the plurality of current user data exceeds a threshold. The present invention may also include, in response to determining the threshold is exceeded, creating a dataset. The present invention may then include retrieving a media playlist. The present invention may further include sending the retrieved media playlist to a media device.

Abstract: A method for heat-based control of a surveillance system is provided. The method may include detecting a first pattern of heat transferred from a heat source based on a first sensor dataset corresponding to a first event, determining an expected pattern of heat to be transferred from the heat source during a second event based on the first pattern of heat transfer, and generating a surveillance model based on the expected pattern of heat transfer. The method may further include detecting a second pattern of heat transferred from the heat source based on a second sensor dataset corresponding to the second event, detecting the heat source during the second event with respect to the second pattern of heat transfer, and determining a threat level corresponding to a security risk posed by the heat source with respect to the environment.

Abstract: Security system devices are configured to retrieve historic first sensor data acquired from a protected area in response to receiving a threat alarm notification from a peer security system that is related to an area monitored by the peer security system, wherein the protected area is different from and geographically separate from the area monitored by the peer security system. The system devise determines that a security threat is indicated for the protected area by assessing the retrieved selection of historic first sensor data as a function of a relation of the threat alarm notification from the peer security system to the protected area, wherein assessing the historic first sensor data without the function of the relation of the threat alarm notification from the peer security system to the protected area results in determining that the security threat is not indicated for the protected area.

Abstract: An example operation may include one or more of computing historical patterns related to fraudulent attempts from a transaction log, predicting future fraud attempts from public data, correlating the historical patterns and the predicted future fraud attempts, modifying one or more endorsement policies based on the correlations, and adding the modified one or more endorsement policies to a smart contract.