Abstract: Existing performance evaluation systems have the disadvantage that they heavily rely on metrics such as lines of code, function points and user story points, which is not a suitable approach for a rapidly evolving technology such as blockchain. The disclosure herein generally relates to user performance evaluation, and, more particularly, to a method and system for user performance evaluation based on tracked user actions. The system tracks user actions, and then generates an efficiency matrix and an inefficiency matrix. Further, a user performance score is generated as a function of the efficiency matrix and an inefficiency matrix. Further, a performance level of the user is determined based on the calculated user performance score.

Abstract: Traditional blockchain monitoring systems have the disadvantage that they are capable of monitoring only a single blockchain ecosystem, as data from different blockchain networks running on different blockchain ecosystems may be heterogeneous in nature and poses associated data processing and interpretation challenges. The disclosure herein generally relates to blockchain monitoring, and, more particularly, to a method and system for monitoring blockchain networks belonging to different blockchain ecosystems. The system transforms the heterogeneous data to a homogeneous format, and then processes the data to identify one or more events. The system then identifies an action to be triggered in response to a determined event, which is then triggered by the system.

Abstract: Existing systems enable secure storage of encryption keys in the form of digital wallets, however, since the keys are preconfigured, they can be prone to malicious attacks. The embodiments herein provide a method and system for randomizing distribution of cryptographic keys across multiple secure key storage devices. The system generates random storage identities (RSIDs) for secure key storage devices by selecting a random storage device from a device portfolio, assigns the RSIDs randomly to create crypto addresses based on random access and partition the devices by deriving crypto addresses. Further, the system generates a user hash function and maps the user hash function to find an associated RSID hash function. The system identifies a device ID, a partition ID and a business date from a device mapper associated with the RSIDs to regenerate new RSIDs and recommends the regenerated new RSIDs randomly to each of the plurality of devices.

Abstract: Traditional blockchain monitoring systems have the disadvantage that they are capable of monitoring only a single blockchain ecosystem, as data from different blockchain networks running on different blockchain ecosystems may be heterogeneous in nature and poses associated data processing and interpretation challenges. The disclosure herein generally relates to blockchain monitoring, and, more particularly, to a method and system for monitoring blockchain networks belonging to different blockchain ecosystems. The system transforms the heterogeneous data to a homogeneous format, and then processes the data to identify one or more events. The system then identifies an action to be triggered in response to a determined event, which is then triggered by the system.