Abstract:
A cloud storage server-based approach allows detection of ransomware activity in cloud storage systems caused by ransomware infections on an endpoint device. A heuristic or rule- based technique is employed for recognizing sequences of file operations that may indicate ransomware activity. In some embodiments, users may be offered an opportunity to approve or disapprove of the possible ransomware activity. In others, cloud system file activity may be suspended or halted for the affected user upon recognition of possible ransomware actions. Enhanced recovery of files affected prior to recognition of the ransomware activity may be performed in some embodiments.
Abstract:
This disclosure describes systems and methods related to utilizing hardware assisted protection for media content. In some embodiments, a provided method comprises: receiving, from a content server and by a computing device processor of a secure enclave of a device, first encrypted media content; decrypting, by the computing device processor, the first encrypted media content using a first decryption key; generating, by the computing device processor, a second decryption key; encrypting, by the computing device processor, the first decrypted media content using the second key, thereby resulting in second encrypted media content; and sending, by the computing device processor and to one or more graphical processing units (GPUs) comprised in a graphics component of the device, the second encrypted media content and the second decryption key.
Abstract:
A method in one example embodiment includes generating a signature for an object in a compute node in a network, searching a memory element for the signature, and responsive to determining the memory element does not contain the signature, scanning the object. The method also includes updating the memory element with a scan result, and synchronizing the memory element of the compute node with one or more memory elements of one or more other compute nodes in the network. In specific embodiments, the scan result includes the signature of the object and a threat level of the object. In further embodiments, the synchronizing includes sending the scan result to one or more other compute nodes in the network. In more specific embodiments, the scan result is sent with one or more other scan results after a predetermined interval of time from a previous synchronization.
Abstract:
Providing security to a device includes detecting, in a first device, a first function call, determining whether the first function call is forbidden for the first device, and in response to determining that the particular function is forbidden for the first device, preventing the function call from executing.
Abstract:
A technique for cognitive protection of a system can include digital and analog sensors to measure or calculate operational parameters of a system. Digital sensors may be used to determine measured or primary operational parameters. The analog sensors are used to measure analog sensor information related to operation of the system. Analog sensor information that is measured may be used to calculate secondary operational parameters that includes the same operating parameters as the primary operational parameters. Lockstep analysis may be used to compare the primary operational parameters with the secondary operational parameters so as to determine a discrepancy in the operational parameters in the system.
Abstract:
In an example, there is disclosed a computing apparatus, comprising: a psychological state data interface to receive psychological state data; one or more logic elements, including at least one hardware element, comprising a verification engine to: receive a requested user action; receive a psychological state input via the psychological state data interface; analyze the psychological state input; and bar the requested user action at least partly responsive to the analyzing.
Abstract:
A system provides a way for a person to control access to digital assets, including financial accounts, through a common gateway that can interact on the person's behalf with service providers that manage the digital assets. Brokers may act as intermediaries between the gateway and the service providers, providing a common interface to the gateway and a specific interface to a service provider. Trigger events can cause the gateway to interact with the service providers, causing the service providers to take a desired action. The trigger events may include notification sent by the person, timed events, and other detected events.
Abstract:
In an example, a cross-view detection engine is disclosed for detecting malware behavior. Malware may attempt to avoid detection by remaining in volatile memory for as long as possible, and writing to disk only when necessary. To avoid detection, the malware may also provide a pseudo-driver at a file system level that performs legitimate-looking dummy operations. A firmware-level driver may simultaneously perform malicious operations. The cross-view detection engine detects this behavior by deconstructing call traces from the file system-level operations, and reconstructing call traces from firmware-level operations. If the traces do not match, the object may be flagged as suspicious.
Abstract:
Systems, devices and methods are disclosed to assist in configuring devices and policies to protect a regional network (e.g., home network) and its users. Users on the network are monitored to determine appropriate configuration settings and preferences by utilizing a combination of internally configured information and externally gathered information for each user. For example, externally gathered information may include information obtained about a user from one or more social media Internet sites. Automatically obtained information may be used to provide or augment policy information such that a user's preference relative to internet content (e.g., content blocking software configuration) may be achieved without requiring an administrator to individually prepare each users security profile and configuration.
Abstract:
Systems, devices and methods to protect a regional network (e.g., home network) by monitoring devices connected to and attempting to connect to the regional network. Monitoring includes assessing and addressing security concerns regarding devices attempting to or available to connect to the regional network as well as monitoring configurations and activity of connected devices. Devices to monitor include: computers, Personal Digital Assistants (PDAs), laptops, tablets, home appliances, smartphones, smart televisions, and any other type of device in the logical proximity of the regional network.