Abstract: A lens elements array comprises at least two lens elements aligned along an alignment axis. Each lens element includes a spherical lens and a feed element. The feed elements are tilted such that the RF signals generated by the feed elements have major axes form an angle (preferably between 5° and 30°) other than a perpendicular angle with respect to the alignment axis. The combined RF signals produced collectively by these feed elements have amplitude that has minimal dips across the array. The feed elements that are farther away from the center of the array have higher levels of tilts than the feed elements that are closer to the center of the array.

Abstract: Disclosed herein are systems and method for selectively restoring a computer system to an operational state. In an exemplary aspect, the method may create a backup image of the computer system comprising a set of data blocks, and create and start a virtual machine based on the backup image. The method may identify a subset of the data blocks accessed from the backup image during startup of the virtual machine. In response to determining that the computer system should be restored, the method may restore the subset of the data blocks such that the computer system is operational during startup, and restore a remaining set of the data blocks from the backup image after the startup of the computer system.

Abstract: A rootkit detection system and method analyzes memory dumps to determine connections between intercepted system driver operations requested by unknown files and changes in system memory before and after those operations. Memory dump differences and I/O buffers are analyzed with machine learning models to identify clustered features associated with rootkits.

Abstract: The invention relates to data recovery technology. An archive connection driver creates a virtual storage medium that is readable by an operating system, with the operating system running antivirus scanning algorithms on the connected virtual storage medium. Corrupted data and malware are deleted and the relevant data blocks repaired in a connected backup. Corrupted data and infected files are restored in marked invalid data in the backup.

Abstract: Systems, methods, and media for managing web content. Exemplary methods may include the steps of providing a web content management application via a web site, generating a web marketing campaign from at least a portion of a global marketing framework via a web server, gathering via the web server marketing data from at least one of the web server associated with the web marketing campaign and consumer devices accessing the web marketing campaign, the marketing data including information indicative of interests of consumers, storing the marketing data in a database, associating consumers together according to at least one common interest to create one or more consumer groups, and providing the one or more consumer groups to at least one marketing content author.

Abstract: Systems and methods for trusted storage of encrypted data onto a cloud storage server are disclosed. The system includes a client device and the cloud storage server. The client device includes a processing unit, a client agent, and a trusted data loading device. The client agent has no access to the network and is implemented within the client device. The client agent receives data and requests to upload the data from the processing unit. The client agent encrypts the data and wraps the data into an encrypted data container.

Abstract: A system and method for malware classification using machine learning models trained using synthesized feature sets based on features extracted from samples of known malicious objects and known safe objects. The synthesized feature sets act as virtual samples for training a machine learning classifier to recognize new objects in the wild that are likely to be malicious.

Abstract: A system and method for malware detection uses static and dynamic analysis to augment a machine learning model. At the training step, static and dynamic features are extracted from training datasets and used to train a malware classification model. The malware classification model is used to classify unknown files based on verdicts from both static and dynamic models.

Abstract: A system and method for malware detection uses static and dynamic analysis to train a machine learning model. At the training step, static and dynamic features are extracted from training datasets and used to train a malware classification model. The malware classification model is used to classify unknown files based on verdicts from both static and dynamic models.

Abstract: 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.

Abstract: 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.

Abstract: Systems and methods for file sharing over secure connections.

Abstract: The present invention relates to compositions and methods for the treatment of the Charcot-Marie-Tooth disease and related disorders.

Abstract: Quantum security may be enhanced through the use of quantum-safe validators for transactions whereby the quantum-safe validators process quantum-safe addresses and signatures of parties to the transactions. Quantum safety may be added to conventional blockchain transactions, for example, via smart contracts which are executed using cryptographic interlocks to between conventional smart contract execution engines and quantum-safe validators to ensure both quantum-safe processing of addresses and signatures and legitimacy of quantum-safe validators in presenting transactions for incorporation on the chain.

Abstract: Disclosed are systems and methods for managing an application executing in a remote session. A user device (e.g., mobile device) creates a control communication session for an application executing within a remote session established between a remote application server and a client device. This application is being displayed by the client device. The user device receives metadata indicating a subset of user actions available from the application, and uses it to generate, for display on the user device, a graphical user interface. The graphical user interface is configured to, when activated by user input, inject input commands into the remote session for the application.

Abstract: Disclosed herein are systems and method for anti-malware scanning, including identifying a plurality of objects in a backup archive that is connected to a first network comprising a plurality of computing devices; scanning the plurality of objects in the backup archive to generate a whitelist indicating a subset of the plurality of objects that do not need to be scanned at a subsequent time; performing, using the whitelist, a first malware scan in a computing device of the plurality of computing devices; detecting that the computing device has left the first network to join a second network; and performing a second malware scan on the computing device, wherein the second malware scan uses a different whitelist of the second network, and wherein the second malware scan comprises scanning a first object that is not in the different whitelist and was not scanned in the first malware scan.

Abstract: Disclosed herein are systems and method for detecting passwords vulnerable to compromise. In one exemplary aspect, a method comprises identifying a plurality of files in at least one storage device of an organization. For each respective file in the plurality of files, in response to determining that the respective file type is in the database of vulnerable file types, the method comprises parsing text in the respective file and identifying, for the respective file, at least one demographic associated with the organization. The method further comprises retrieving dictionaries and expressions specific to the at least one demographic and determining the text in the respective file comprises a password using the retrieved dictionaries and expressions of the at least one demographic. In response to determining that the text comprises the password, the method comprises generating a security alert for an administrator of the storage device.

Abstract: One or more anisotropic lenses, where the permittivity and/or permeability is directional, are used to vary one or more of beamwidth, beam direction, polarization, and other parameters for one or more antennas. Contemplated anisotropic lenses can include conductive or dielectric fibers or other particles. Lenses can be spherical, cylindrical or have other shapes depending on application, and can be rotated and/or positioned. Important applications include land and satellite communication, base station antennas.

Abstract: A processing device sends a request from a remote access client to a first remote application server to access a first application being hosted by the first remote application server, receives instructions from the first remote application server to display a first application window within a browser window of a browser on a display of the client device, creates the first application window within the browser window based on the instructions. The processing device sends a request to a second remote application server to access a second application being hosted by the second remote application server, receives instructions from the second remote application server to display a second application window within the browser window, and creates the second application window for the second application within the browser window based on the instructions. The second application window is displayed within the browser window together with the first application window.

Abstract: Disclosed herein are systems and methods for verifying user activity based on behavioral models. In an exemplary aspect, a method may include receiving and parsing sensor data from at least one sensor in an environment to determine a first identifier of a person that is not authorized to access data via a computing device. The method may include intercepting, on the computing device, a data access request including a second identifier of a user that is authorized to access the data via the computing device. The method may include verifying whether the data access request is from the user authorized to access data by determining whether a chain of events involving the first person and the user corresponds to a behavioral model indicative of malicious activity. Based on the verification, the data access request is either granted or denied.