Abstract: There is provided a system, comprising: a hardware processor(s) executing a code for: receiving a request to identify data for execution of action(s) in a limited allocated memory resource (LAMR) of a blockchain storage system, the LAMR defining storage space for storing data of smart contracts, when the requested data is not found in the LAMR, acquiring a cryptographic proof of the requested data from the LAMR, using the cryptographic proof for acquiring a copy of the requested data from a virtual allocated memory resource (VAMR), storing the copy of the requested data in the LAMR for performing the action(s) by the blockchain storage system using the stored copy, the performance of the action(s) updates the stored copy in the LAMR, replacing the cryptographic proof with a new cryptographic proof created by processing the updated stored copy in the LAMR, and storing the updated stored copy in the VAMR.

Abstract: There is provided a system, comprising: a hardware processor(s) executing a code for: receiving a request to identify data for execution of action(s) in a limited allocated memory resource (LAMR) of a blockchain storage system, the LAMR defining storage space for storing data of smart contracts, when the requested data is not found in the LAMR, acquiring a cryptographic proof of the requested data from the LAMR, using the cryptographic proof for acquiring a copy of the requested data from a virtual allocated memory resource (VAMR), storing the copy of the requested data in the LAMR for performing the action(s) by the blockchain storage system using the stored copy, the performance of the action(s) updates the stored copy in the LAMR, replacing the cryptographic proof with a new cryptographic proof created by processing the updated stored copy in the LAMR, and storing the updated stored copy in the VAMR.

Abstract: There is provided a system, comprising: a hardware processor(s) executing a code for: receiving a request to identify data for execution of action(s) in a limited allocated memory resource (LAMR) of a blockchain storage system, the LAMR defining storage space for storing data of smart contracts, when the requested data is not found in the LAMR, acquiring a cryptographic proof of the requested data from the LAMR, using the cryptographic proof for acquiring a copy of the requested data from a virtual allocated memory resource (VAMR), storing the copy of the requested data in the LAMR for performing the action(s) by the blockchain storage system using the stored copy, the performance of the action(s) updates the stored copy in the LAMR, replacing the cryptographic proof with a new cryptographic proof created by processing the updated stored copy in the LAMR, and storing the updated stored copy in the VAMR.

Abstract: There is provided a system, comprising: a hardware processor(s) executing a code for: receiving a request to identify data for execution of action(s) in a limited allocated memory resource (LAMR) of a blockchain storage system, the LAMR defining storage space for storing data of smart contracts, when the requested data is not found in the LAMR, acquiring a cryptographic proof of the requested data from the LAMR, using the cryptographic proof for acquiring a copy of the requested data from a virtual allocated memory resource (VAMR), storing the copy of the requested data in the LAMR for performing the action(s) by the blockchain storage system using the stored copy, the performance of the action(s) updates the stored copy in the LAMR, replacing the cryptographic proof with a new cryptographic proof created by processing the updated stored copy in the LAMR, and storing the updated stored copy in the VAMR.

Abstract: A method for obtaining contextually related instances. The method comprises providing a map of a plurality of contextual relations between a plurality of instance types and a plurality of functionalities. Each one of the functionalities is associated with one of the mapped contextual relations and configured for providing one or more instances of a respective type. The method further comprises receiving a contextual linkage between a known instance and a requested instance, identifying a match between the contextual linkage and a segment of the map, and obtaining the requested instance by using the known instance along with a group of which is selected from the functionalities; each member of the group is associated with a contextual relation in the segment.

Abstract: A method of creating a dataset having an adjacency list of a graph mapping a plurality of predicate edges connecting among a plurality of vertexes each set for another of a plurality of entities. The method is based on a list having a plurality of predicate triplets and a plurality of inverted predicate triplets extracted from the graph, each the triplet and the inverted predicate triplet having a subject entity and an attribute entity from the plurality of entities and a predicate edge, from the plurality of predicate edges.

Abstract: A method for obtaining contextually related instances. The method comprises providing a map of a plurality of contextual relations between a plurality of instance types and a plurality of functionalities. Each one of the functionalities is associated with one of the mapped contextual relations and configured for providing one or more instances of a respective type. The method further comprises receiving a contextual linkage between a known instance and a requested instance, identifying a match between the contextual linkage and a segment of the map, and obtaining the requested instance by using the known instance along with a group of which is selected from the functionalities; each member of the group is associated with a contextual relation in the segment.

Abstract: Methods and corresponding devices for packets classification featuring pattern recognition, and not content recognition or port matching. The methods and corresponding devices are able to recognize traffic in the background and/or offline, without overloading the system.