Abstract: The present disclosure relates generally to security solutions. More specifically, techniques (e.g., systems, methods, and devices) are provided to implement an incentivized-based intrusion detection system to detect malicious acts against an asset. The incentive may lure or facilitate the actor to provide information detecting malicious actions against an asset.

Abstract: Techniques for controlling access to segmented data of a plurality of users that is requested by at least one data consumer device. In response to conditions specified in communications between at least one data aggregator system and the at least one data consumer device, information of a number of users meeting specified search criteria are shared (e.g., for a limited time). Use of the data in violation of the specified conditions may trigger penalties under a smart contract on a distributed ledger or blockchain.

Abstract: The present disclosure relates generally to security solutions. More specifically, techniques (e.g., systems, methods, and devices) are provided to implement an incentivized-based intrusion detection system to detect malicious acts against an asset. The incentive may lure or facilitate the actor to provide information detecting malicious actions against an asset.

Abstract: The present disclosure relates generally to security solutions. More specifically, techniques (e.g., systems, methods, and devices) are provided to implement an incentivized-based intrusion detection system to detect malicious acts against an asset. The incentive may lure or facilitate the actor to provide information detecting malicious actions against an asset.

Abstract: The present disclosure relates generally to security solutions. More specifically, techniques (e.g., systems, methods, and devices) are provided to implement an incentivized-based intrusion detection system to detect malicious acts against an asset. The incentive may lure or facilitate the actor to provide information detecting malicious actions against an asset.

Abstract: A method to identify content within a data stream, comprising: capturing a data stream, analyzing and filtering the data stream by isolating a test stream of the data stream and disabling the other sub-streams, applying the test stream to the application so as to produce an output, applying the output to a comparator, the comparator receiving a reference and determining by the comparator a distance between the application output and the reference, if the distance is below a predefined level, repeating the isolating step with a new test stream selected among the previous test stream, the new test stream being a subset of the previous test stream, if that the distance is above or equal a second predefined level, repeating the isolating step by selecting a different test stream from the data stream not already applied to the application.

Abstract: A method to identify content within a data stream, comprising: capturing a data stream, analysing and filtering the data stream by isolating a test stream of the data stream and disabling the other sub-streams, applying the test stream to the application so as to produce an output, applying the output to a comparator, the comparator receiving a reference and determining by the comparator a distance between the application output and the reference, if the distance is below a predefined level, repeating the isolating step with a new test stream selected among the previous test stream, the new test stream being a subset of the previous test stream, if that the distance is above or equal a second predefined level, repeating the isolating step by selecting a different test stream from the data stream not already applied to the application.