Acronis International Assigned Eight Patents

Personal privacy controls
Acronis International GmbH, Schaffhausen, Switzerland, has been assigned a patent (11,210,419) developed by Beloussov, Serguei, Costa del Sol, Singapore, Melnikov, Oleg, Tormasov, Alexander, and Protasov, Stanislav, Moscow, Russia, for “system and method for personal privacy controls.“

The abstract of the patent published by the U.S. Patent and Trademark Office states: “Disclosed herein are systems and methods for protecting user data. In one aspect, an exemplary method comprises, by a hardware processor, detecting user files created by a first user and stored on a user device, the user files containing personal information associated with the first user, generating user transactional data associated with one or more detected network-based interactions with a service provider, generating user behavior data based on one or more user interactions with a graphical user interface of the user device, applying a machine learning model to user data to generate a classification of the first user, the user data comprising the user files, the user transactional data, and the user behavior data, and when the user is identifiable based on the generated classification, modifying at least one of (i) user files stored on the user device and (ii) user behavior during an operation of the user device.”

The patent application was filed on September 16, 2019 (16/571,661).

Crash-consistent incremental backup of cluster storage
Acronis International GmbH, Schaffhausen, Switzerland, has been assigned a patent (11,210,177) developed by Stupak, Anatoly, Kogtev, Dmitry, Moscow, RU, Beloussov, Serguei, Costa Del Sol, Singapore, and Protasov, Stanislav, Moscow, Russia, for “system and method for crash-consistent incremental backup of cluster storage.“

The abstract of the patent published by the U.S. Patent and Trademark Office states: “Disclosed herein are systems and method for backing up data in a clustered environment. A clustered resource to be backed up is selected, wherein the clustered resource is stored on a common storage system and operated on by a cluster-aware application executing on two or more nodes of a computing cluster. A first backup agent executing on a first node of the computing cluster may determine a list of changes to the clustered resource and may receive at least one list of changes to the clustered resource that are tracked by peer backup agents executing on other nodes of the computing cluster. The first backup agent may merge the lists of changes to the clustered resource, and may generate a consistent incremental backup using data retrieved from the common storage system according to the merged lists of changes to the clustered resource.”

The patent application was filed on October 1, 2019 (16/589,188).

Automating formation and execution of backup strategy using machine learning
Acronis International GmbH, Schaffhausen, Switzerland, has been assigned a patent (11,204,842) developed by Protasov, Stanislav, Moscow, Russia, Beloussov, Serguei, Costa del Sol, Singapore, Martynov, Dmitry, and Ulasen, Sergey, Moscow, Russia, for “system and method for automating formation and execution of a backup strategy using machine learning.“

The abstract of the patent published by the U.S. Patent and Trademark Office states: “Disclosed herein are systems and method for forming and executing a backup strategy. In one aspect, an exemplary method comprises, for each file of files from one or more data sources that is being evaluated to form the backup strategy for the file, updating a frequency database, evaluating a uniqueness for the file stored at a data source of the one or more data sources by comparing at least a portion of data of the file to the frequency database, categorizing the file into a hierarchy of logical types according to properties of the file, and forming the backup strategy for the file according to the uniqueness and categorization of the file.”

The patent application was filed on November 20, 2018 (16/195,915).

Generating tokens using secure multiparty computation engines
Acronis International GmbH, Schaffhausen, Switzerland, has been assigned a patent (11,201,737) developed by Will, Mark A., Solanki, Sanjeev, Sivanesan, Kailash, Beloussov, Serguei, Costa del Sol, Singapore, and Protasov, Stanislav, Moscow, Russia, for “systems and methods for generating tokens using secure multiparty computation engines.“

The abstract of the patent published by the U.S. Patent and Trademark Office states: “Disclosed herein are systems and methods for generating tokens using SMPC compute engines. In one aspect, a method may hash, by a node, a data input with a salt value. The method may split, by the node, the hashed data input into a plurality of secret shares, wherein each respective secret share of the plurality of secret shares is assigned to a respective SMPC compute engine of a plurality of SMPC compute engines. The respective SMPC compute engines may be configured to collectively hash the respective secret share with a secret salt value, unknown to the plurality of SMPC compute engines. The respective SMPC compute engine may further receive a plurality of hashed secret shares from remaining SMPC compute engines of the plurality of SMPC compute engines, and generate a token, wherein the token is a combination of the hashed respective secret share and the plurality of hashed secret shares.”

The patent application was filed on May 19, 2020 (16/878,201).

Remote private key security
Acronis International GmbH, Schaffhausen, Switzerland, has been assigned a patent (11,184,335) developed by Beloussov, Serguei M., Costa Del Sol, Singapore, Tormasov, Alexander, and Protasov, Stanislav, Moscow, Russia, for a “remote private key security.“

The abstract of the patent published by the U.S. Patent and Trademark Office states: “A method for remote private key security is described. The method may include generating a private key and may further include generating encrypted data by encrypting data using an encryption algorithm, wherein the data is stored at a first location and the private key is for the encrypted data. The method may also include transmitting the private key to a remote private key deposit at a second location. The method may additionally include transmitting the encrypted data to a remote data center at a third location. Moreover, the method may include permitting access to the private key at the remote private key deposit to an individual at the second location in response to confirming an identity of the individual present at the second location.”

The patent application was filed on May 26, 2016 (15/165,303).

Providing read-optimized scalable offline de-duplication for blocks of data
Acronis International GmbH, Schaffhausen, Switzerland, has been assigned a patent (11,132,137) developed by Volkov, Oleg, Zaitsev, Andrey, Protasov, Stanislav, Moscow, Russia, and Beloussov, Serguei, Costa del Sol, Singapore, for “methods and systems for providing read-optimized scalable offline de-duplication for blocks of data.“

The abstract of the patent published by the U.S. Patent and Trademark Office states: “Disclosed herein are systems and method for read-optimized de-duplication of blocks of data. In one aspect, an exemplary method comprises for each page of a newly received block of data, computing a page hash and assigning a page context ID, computing an index of a page node for storing the page and selecting the page node, when the selected page node contains a copy of the page, adding a page reference to a block descriptor with the page being referenced by the page hash augmented by the page context ID, otherwise, storing the page in plain storage, and for the block of data, storing the block descriptor in a block node of the de-duplication engine, the block of data being referenced by a block hash and the block descriptor containing at least a list of pages of the block stored in page nodes of the de-duplication engine.”

The patent application was filed on January 31, 2020 (16/778,389).

Decrypting data encrypted by ransomware
Acronis International GmbH, Schaffhausen, Switzerland, has been assigned a patent (11,126,718) developed by Kostyushko, Alexey, Protasov, Stanislav, Moscow, Russia, and Beloussov, Serguei, Costa del Sol, Singapore, for a “method for decrypting data encrypted by ransomware.“

The abstract of the patent published by the U.S. Patent and Trademark Office states: “A technique is described for protecting file data from malicious programs, in particularly, by decrypting data that has been maliciously encrypted by software such as ransomware. The described technique generates a copy of a first block of a plurality of files stored on a computing device, and also intercepts request(s) from a process executing on the computing device to obtain certain types of random data and system entropy, which are recorded. When the system detects that the plurality of files have been encrypted by a malicious program, the described system determines a cryptographic key determined based on the generated copies of the first blocks of the plurality of files and on the recorded random data, and uses that key to decrypt the plurality of files.”

The patent application was filed on July 12, 2018 (16/033,588).

Predictive data protection
Acronis International GmbH, Schaffhausen, Switzerland, has been assigned a patent (11,126,506) developed by Martynov, Dmitry, Protasov, Stanislav, Moscow, Russia, and Beloussov, Serguei, Costa Del Sol, Singapore, for “systems and methods for predictive data protection.“

The abstract of the patent published by the U.S. Patent and Trademark Office states: “Disclosed herein are systems and method for method for predictive data protection. In one aspect, an exemplary method comprises selecting data stored on a computing device for backing up, according to a predetermined schedule for performing a backup; collecting features associated with the computing device where the data for the backup is stored, the features comprising device information for the computing device, user information for a user of the data, and external information associated with a locale of the computing device; analyzing the features to determine a set of backup parameters for the backup, wherein the backup parameters comprise scheduling parameters and destination storage parameters; generating a backup plan based on the set of parameters for performing the backup; and performing the backup of the data according to the backup plan.”

The patent application was filed on August 6, 2019 (16/533,103).