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Acronis Assigned Ten Patents

Determining storage insurance policies based on data file and hardware attributes, parallel virus and malware scan between agents in cloud environment, executing data protection policies specific to classified organizational structure, cross-referencing forensic snapshot over time for root-cause analysis, restoring clean backup after malware attack, distributed-agent backup of VMs, performing recovery using backup image, preserving data integrity when integrating secure multiparty computation and blockchain technology, generating and storing forensics-specific metadata, file archiving using ML

Determining storage insurance policies based on data file and hardware attributes
Acronis International GmbH, Schaffhausen, Switzerland, has been assigned a patent (11720452) developed by Tormasov, Alexander, Moscow, Russia, Beloussov, Serguei, Costa del Sol, Singapore, and Protasov, Stanislav, Singapore, Singapore, for systems and methods for determining data storage insurance policies based on data file and hardware attributes.

The abstract of the patent published by the U.S. Patent and Trademark Office states: “Disclosed herein are systems and method for determining data storage insurance policies. In an exemplary implementation, a method comprises receiving a request to add a data storage insurance policy to a plurality of data files. The method comprises extracting data file attributes and determining a data recovery score for each respective data file based on a uniqueness, criticality, and/or importance of the respective data file. The method comprises determining a hardware score for each of a plurality of performance tiers comprising at least one storage server, based on an available capacity, a performance cost, and/or data recovery scores of data files currently stored at each of the plurality of performance tiers. The method comprises selecting and executing a data storage insurance policy for the respective data file based on a plurality of data recovery rules and/or the comparison of the data recovery score and the hardware score.

The patent application was filed on 2021-06-29 (17/361551).

Parallel virus and malware scan between agents in cloud environment
Acronis International GmbH, Schaffhausen, Switzerland, has been assigned a patent (11711380) developed by Sotirov, Iliya, Sofia, Bulgaria, Beloussov, Serguei, Costa Del Sol, Singapore, and Protasov, Stanislav, Moscow, Russia, for systems and methods for parallel virus and malware scan between agents in a cloud environment.

The abstract of the patent published by the U.S. Patent and Trademark Office states: “Disclosed herein are systems and methods for parallel malware scanning in a cloud environment. In one exemplary aspect, a method may comprise identifying a plurality of agents connected to a server, wherein each agent is configured to synchronize data between a different computing device and the server. The method may comprise receiving, from a first agent of the plurality of agents, a request to scan the synchronized data for malware. In response to determining, from the plurality of agents, at least one other agent that comprises the synchronized data, the method may comprise partitioning the synchronized data into a plurality of portions. The method may comprise assigning a first portion for scanning to the first agent and at least one other portion for scanning to the at least one other agent, and aggregating scan results from the first agent and the at least one other agent.

The patent application was filed on 2020-10-01 (17/060481).

Executing data protection policies specific to classified organizational structure
Acronis International GmbH, Schaffhausen, Switzerland, has been assigned a patent (11709953) developed by Kulaga, Andrey, Moscow, Russia, Protasov, Stanislav, Singapore, Beloussov, Serguei, Costa del Sol, Singapore, and Grebennikov, Nikolay, Sofia, Bulgaria, for systems and methods for executing data protection policies specific to a classified organizational structure.

The abstract of the patent published by the U.S. Patent and Trademark Office states: “Disclosed herein are systems and methods for classifying organizational structure for implementing data protection policies. In one exemplary aspect, a method may comprise retrieving a plurality of data files of an organization, wherein the plurality of data files are stored in a data storage, retrieving structural information of the organization, the structural information comprising details of user accounts, organizational roles, and file metadata within the organization, classifying the structural information into an organization type of a plurality of organization types, classifying each respective data file of the plurality of data files into a respective topic of a plurality of topics, wherein the plurality of topics are associated with the organization type, generating a data protection policy for the organization based on each respective topic of the plurality of data files and the organization type, and executing the data protection policy on the data storage.

The patent application was filed on 2021-03-15 (17/201101).

Cross-referencing forensic snapshot over time for root-cause analysis
Acronis International GmbH, Schaffhausen, Switzerland, has been assigned a patent (11698828) developed by Grebennikov, Nikolay, Sofia, Bulgaria, Wüest, Candid, Basserdorf, Switzerland, Beloussov, Serguei, Costa del Sol, Singapore, and Protasov, Stanislav, Singapore, Singapore, for systems and methods for cross-referencing forensic snapshot over time for root-cause analysis.

The abstract of the patent published by the U.S. Patent and Trademark Office states: “Aspects of the disclosure describe methods and systems for cross-referencing forensic snapshots over time. In one exemplary aspect, a method may comprise receiving a first snapshot of a computing device at a first time and a second snapshot of the computing device at a second time and applying a pre-defined filter to the first snapshot and the second snapshot, wherein the pre-defined filter includes a list of files that are to be extracted from each snapshot. The method may comprise subsequent to applying the pre-defined filter, identifying differences in the list of files extracted from the first snapshot and the second snapshot. The method may comprise creating a change map for the computing device that comprises the differences in the list of files over a period of time, wherein the period of time comprises the first time and the second time, and outputting the change map in a user interface.

The patent application was filed on 2021-08-09 (17/396905).

Restoring clean backup after malware attack
Acronis International GmbH, Schaffhausen, Switzerland, has been assigned a patent (11681591) developed by Kulaga, Andrey, Moscow, Russia, Ishanov, Oleg, Strogov, Vladimir, Singapore, Beloussov, Serguei, Costa del Sol, Singapore, and Protasov, Stanislav, Singapore, Singapore, for system and method of restoring a clean backup after a malware attack.

The abstract of the patent published by the U.S. Patent and Trademark Office states: “Disclosed herein are systems and method for restoring a clean backup after a malware attack. In one aspect, a method forms a list of files that are of a plurality of designated file types that can be infected by malicious software. The method performs one or more snapshots of the files according to a predetermined schedule over a predetermined period of time and performs one or more backups. The method determines that a malware attack is being carried out on the computing device and generates a list of dangerous objects that spread the malware attack. The method compares the list of dangerous objects with the one or more snapshots to determine when the malware attack occurred. The method identifies a clean backup that was created most recently before the malware attack as compared to other backups and recovers data for the computing device from the clean backup.

The patent application was filed on 2020-04-02 (16/838356).

Distributed-agent backup of VMs
Acronis International GmbH, Schaffhausen, Switzerland, has been assigned a patent (11681589) developed by Batraev, Victor, Sofia, Bulgaria, Beloussov, Serguei, Costa del Sol, Singapore, and Protasov, Stanislav, Singapore, Singapore, for system and method for distributed-agent backup of virtual machines.

The abstract of the patent published by the U.S. Patent and Trademark Office states: “A distributed agent for backup and restoration of virtual machines collects backup data and meta-data. The distributed agent includes an agent inside a virtual machine and an agent outside the virtual machine. The two kinds of agents communicate with each other to collect data of different types used to backup and restore virtual machines.

The patent application was filed on 2021-03-30 (17/301249).

Performing recovery using backup image
Acronis International GmbH, Schaffhausen, Switzerland, has been assigned a patent (11630742) developed by Strogov, Vladimir, Singapore, Kostyushko, Alexey, Yerevan, Armenia, Dod, Alexey, Singapore, Enakiev, Anton, Sofia, Bulgaria, Beloussov, Serguei, Costa del Sol, singapore, and Protasov, Stanislav, Singapore, Singapore, for system and method of performing recovery using a backup image.

The abstract of the patent published by the U.S. Patent and Trademark Office states: “Disclosed herein are systems and method for performing recovery using a backup image. In one exemplary aspect, a method comprises scanning a plurality of files on one or more storage devices of a computing device. The method may determine a first set of files from the plurality of files that will be used during recovery of the one or more storage devices, and tag a second set of files that will not be used during recovery. The method may copy the second set of files that have been tagged to an external storage device, and may store the first set of files in a backup image for the computing device (excluding the tagged second set of files from the backup image). The method may add, to the backup image, a respective link to each of the tagged second set of files in the external storage device.

The patent application was filed on 2020-03-13 (16/817969).

Preserving data integrity when integrating secure multiparty computation and blockchain technology
Acronis International GmbH, Schaffhausen, Switzerland, has been assigned a patent (11621834) developed by Will, Mark A, Solanki, Sanjeev, and Sivanesan, Kailash, Singapore, Singapore, for systems and methods for preserving data integrity when integrating secure multiparty computation and blockchain technology.

The abstract of the patent published by the U.S. Patent and Trademark Office states: “Disclosed herein are systems and methods for preserving data integrity when integrating secure multiparty computation (SMPC) and blockchain technology. In one exemplary aspect, a method may split, via a data publisher, data into a plurality of data secret shares using an SMPC protocol, wherein each secret share of the plurality of data secret shares is assigned to an SMPC compute node of a plurality of SMPC compute nodes and wherein the plurality of SMPC compute nodes may be members of a blockchain network. In some aspects, the method may determine parameters of a message authentication code (MAC) condition based on the data, may generate secret shares of the MAC condition parameters, and may include a plurality of MAC secret shares with the plurality of data secret shares.

The patent application was filed on 2020-06-15 (16/901343).

Generating and storing forensics-specific metadata
Acronis International GmbH, Schaffhausen, Switzerland, has been assigned a patent (11601443) developed by Strogov, Vladimir, Ishanov, Oleg, Dod, Alexey, Moscow, Russia, Beloussov, Serguei, Costa del Sol, Singapore, and Protasov, Stanislav, Moscow, Russia, for system and method for generating and storing forensics-specific metadata.

The abstract of the patent published by the U.S. Patent and Trademark Office states: “Disclosed herein are systems and method for generating and storing forensics-specific metadata. In one aspect, a digital forensics module is configured to generate a backup of user data stored on a computing device in accordance with a backup schedule. The digital forensics module identifies, from a plurality of system metadata of the computing device, forensics-specific metadata of the computing device based on predetermined rules, wherein the forensics-specific metadata is utilized for detecting suspicious digital activity. The digital forensics module generates a backup of the forensics-specific metadata in accordance with the backup schedule and analyzes the forensics-specific metadata for an indication of the suspicious digital activity on the computing device. In response to detecting the suspicious digital activity based on the analysis, generates a security event indicating that the suspicious digital activity has occurred.

The patent application was filed on 2019-09-25 (16/582497).

File archiving using ML
Acronis International GmbH, Schaffhausen, Switzerland, has been assigned a patent (11580061) developed by Strogov, Vladimir, Moscow, Russia, Levchenko, Vyacheslav, St. Petersburg, Russia, Protasov, Stanislav, Moscow, Russia, Beloussov, Serguei, Costa Del Sol, Singapore, and Ulasen, Sergey, St. Petersburg, Russia, for system and method for file archiving using machine learninga.

The abstract of the patent published by the U.S. Patent and Trademark Office states: “Methods for file archiving using machine learning are disclosed herein. An exemplary method comprises archiving a first file of a plurality of files from a storage server to a tiered storage system, training a machine learning module based on file access operations for the plurality of files, determining one or more rules for predicting access to the archived files using the machine learning module, determining a prediction of access of the archived file based on the one or more rules and retrieving the archived file from the tiered storage system into a file cache in the storage server based on the prediction of access.

The patent application was filed on 2018-06-07 (16/002122).

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