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 first endorsement policies based on the correlations, preventing modifying one or more second endorsement policies, the one or more second endorsement policies providing read-only access, and adding the modified one or more first endorsement policies to a smart contract.

Abstract: A computer-implemented method comprising: determining, by a computing device, characteristics of a social media message; selecting, by the computing device, a particular image, of a plurality of images, based on the characteristics of the social media message and characteristics of the particular image; and outputting, by the computing device, information identifying the selected image to incorporate the selected image in a user's social media profile.

Abstract: A method and system for improving real-time digital media capture and presentation is provided. The method includes retrieving digital media content in real time and dividing the digital media content into groups each including similar digital media portions. A digital tag is assigned to each group and each digital tag digitally describes media elements within each portion of the similar digital media portions. Each portion is analyzed with respect to the media elements and associated metadata is generated. The metadata is assigned to each media element and the groups of similar digital media portions are configured for automated presentation for users.

Abstract: Detecting and blocking content that can develop undesired behavior by artificial intelligence (AI) entities toward users during a learning process is provided. Input information is received for a set of one or more AI entities. Characteristics of the input information are evaluated based on rules of a selected policy from a set of policies and learned characteristics of information associated with a corpus of information. It is determined whether a result of evaluating the characteristics of the input information exceeds a predefined threshold. In response to determining that the result of evaluating the characteristics of the input information exceeds the predefined threshold, the input information for the set of AI entities is filtered by performing a selective filtering action, using a firewall, based on context of the input information.

Abstract: Automatically sharing resources between devices is provided. A communication channel is established with a trusted data processing system over a network. In response to establishing the communication channel, a list of resources available for sharing between the data processing system and the trusted data processing system is shared via the communication channel. It is determined whether a match for a resource requested by the trusted data processing system exists in the list. In response to determining that a match for the resource requested by the trusted data processing system exists in the list, a matching resource is automatically shared with the trusted data processing system via the communication channel.

Abstract: A computer-implemented method includes: determining, by a computing device, a location of an individual in a building relative to the location of an exit of the building; determining, by the computing device, the location of obstacles or hazards within the building; determining, by the computing device, a path from the individual to the exit based on determining the location of the individual relative to the exit and the location of the obstacles or hazards; generating, by the computing device, signaling instructions based on the path; and outputting, by the computing device, the signaling instructions to one or more signaling devices, wherein the outputting the signaling instructions control operations of the one or more signaling devices to guide the individual to the exit based on the path.

Abstract: Embodiments of the present invention disclose a method, computer program product, and system for generating and transmitting a Personalized Emergency Evacuation Plan (PEEP). The computer receives an emergency condition real-time data from a plurality of building sensors, a tracking data of at least one user from a plurality of tracking sensors, a facility structural data from a facility database, and a stored user data from a user database for the at least one user. The computer generates a personalized emergency evacuation plan (PEEP) for the at least one user, wherein is a set of recommendations to put the user in the safest position, based on at least the emergency condition real-time data and the received stored user data. The computer transmits the PEEP to a user mobile device, wherein the user mobile device presents the PEEP to the at least one user.

Abstract: An example operation may include one or more of receiving sensor data from one or more sensors associated with a building, storing a block including the sensor data to a shared ledger of a blockchain network, the one or more sensors associated with one or more buildings, requesting a risk assessment for the sensor data, by a blockchain node, calculating the risk assessment with one or more machine learning algorithms based on the sensor data, historical sensor blockchain data, importance of the one or more sensors, and a degree of concern related to the sensor data, providing the risk assessment to the blockchain node, and generating an alert in response to the risk assessment above a threshold.

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: Approaches are provided for tracking and measuring the influence of social networking members on groups of friends to engage in electronic commerce. An approach includes receiving unique identifier information and activity information for a user that referred a social media link to one or more other users. The approach further includes generating a reference identifier for the referrer of the social media link to the one or more other users. The approach further includes embedding the generated reference identifier into the social media link. The generated reference identifier includes a concatenation of the unique identifier information, the activity information, and information pertaining to referrals of the social media link prior to the referrer to the one or more other users.

Abstract: Data indicating current driving characteristics of a driver driving a vehicle can be received. A driving profile for the driver can be determined and categorized into a driving pattern category. A plurality of candidate travel routes for the driver to reach an intended destination can be identified. For each of the candidate travel routes a plurality of route segments can be identified. Based on the driving pattern category, a probability that the current driving characteristics of the driver will cause a traffic accident can be determined for each of the route segments. A route segment for which the probability that the current driving characteristics of the driver will cause the traffic accident is lowest can be determined and a notification can be communicated to the driver or vehicle indicating that route segment.

Abstract: A method and system for improving real-time digital media capture and presentation is provided. The method includes retrieving digital media content in real time and dividing the digital media content into groups each including similar digital media portions. A digital tag is assigned to each group and each digital tag digitally describes media elements within each portion of the similar digital media portions. Each portion is analyzed with respect to the media elements and associated metadata is generated. The metadata is assigned to each media element and the groups of similar digital media portions are configured for automated presentation for users.

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: 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: 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: 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: 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: 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: Data indicating current driving characteristics of a driver driving a vehicle can be received in real time. A driving profile for the driver can be determined based on the data. The driving profile can be categorized into a driving pattern category. A plurality of candidate travel routes for the driver to reach an intended destination can be identified and, for each of the candidate travel routes, a plurality of route segments can be identified. Based on the driving pattern category, a probability that the current driving characteristics of the driver will cause a traffic accident can be determined for each of the plurality of route segments. Route segments for which the probability that the current driving characteristics of the driver will cause the traffic accident exceeds a threshold value can be determined. A notification can be communicated to the driver or vehicle indicating such probability.

Abstract: Posts to a social media platform are analyzed to determine if the posts are from the account owner or authorized user. The analysis is carried out based on previously learned patterns identified via the account owner's previous posts and their profile. The learned patterns of the user may be based on topics, sentiment, mood, context, content and other information. The learned patterns of a user are used to identify variation in the user intent relative to the topic of the post. The user profile can be used to determine if the variations are within a threshold range of variations based on user characteristics. Based on the analysis, malicious posts by unauthorized users can be prevented.