Abstract: A technique for detecting malware looks at startup hooks that may be created by malware to assist in ensuring that the malware is started upon a reboot of a programmable device. After enumerating startup hooks in the system, startup hooks associated with untrusted executables are deleted. If the startup hook is restored, that is an indication that the untrusted executable may be malware. An indication may then be passed to an anti-malware software to analyze the executable further.

Abstract: Particular embodiments described herein provide for modular device assemblies and methods for enabling maintenance and servicing, particularly by an unmanned aerial vehicle. A device assembly comprises a plurality of modules, each module having control circuitry, a communications port and contact points to couple the modules. When the modules are coupled, the communications ports are connected to create a bus for communications between the modules. The modular device structure where modules are removable and replaceable allows for an unmanned aerial vehicle to perform maintenance on the device.

Abstract: Particular embodiments described herein provide for modular device assemblies and methods for enabling maintenance and servicing, particularly by an unmanned aerial vehicle. A device assembly comprises a plurality of modules, each module having control circuitry, a communications port and contact points to couple the modules. When the modules are coupled, the communications ports are connected to create a bus for communications between the modules. The modular device structure where modules are removable and replaceable allows for an unmanned aerial vehicle to perform maintenance on the device.

Abstract: A collection of techniques is disclosed to allow for the detection of malware that leverages pattern recognition and machine learning to effectively provide “content-less” malware detection, i.e., detecting a process as being an ‘anomaly’ not based on its particular content, but instead based on comparisons of its behavior to known (and characterized) ‘trusted’ application behaviors, i.e., the trusted applications' “phenotypes” and/or the phenotypes of known malware applications. By analyzing the patterns of normal behavior performed by trusted applications as well as malware applications, one can build a set of sophisticated, content-agnostic behavioral models (i.e.

Abstract: There is disclosed in one example a computing apparatus, including: a hardware platform; and a storage medium having stored thereon executable instructions to provide an inference engine configured to: receive a new suspicious fragment object from a protected device; add the new suspicious fragment object to a rolling map configured to provide a temporal snapshot of suspicious fragment objects over a time span; determine a connection between the new suspicious fragment object and an existing suspicious fragment object within the rolling map; apply the connection to a connection map; and operate a map classifier to determine that the connection map represents a probable computer security threat.

Abstract: There is disclosed in one example a computing apparatus, including: a processor and a memory; a network interface to communicatively couple to a backup client; a storage to receive backup data from the client, including a plurality of versions and an associated reputation for each version, the associated reputation to indicate a probability that the version is valid; and instructions encoded within the memory to instruct the processor to: receive from the backup client a request to store a new version of the backup data; determine that the client has exceeded a backup threshold; identify a backup version having a lowest reputation for validity; and expunge the backup version having the lowest reputation for validity.

Abstract: A collection of techniques is disclosed to allow for the detection of malware that leverages pattern recognition and machine learning to effectively provide “content-less” malware detection, i.e., detecting a process as being an ‘anomaly’ not based on its particular content, but instead based on comparisons of its behavior to known (and characterized) ‘trusted’ application behaviors, i.e., the trusted applications' “phenotypes” and/or the phenotypes of known malware applications. By analyzing the patterns of normal behavior performed by trusted applications as well as malware applications, one can build a set of sophisticated, content-agnostic behavioral models (i.e.

Abstract: Disclosed herein are distributed ledger systems and methods for efficiently creating and updating a query optimized distributed ledger. In particular, the present disclosure introduces methods and apparatuses for efficiently updating indexes when new blocks are added to the distributed ledger by using snapshots of data and appending new snapshot tables and indexes to previous snapshot tables and indexes.

Abstract: There is disclosed in one example a computing apparatus, including: an interface to a backup source in a current state; a backup storage having stored thereon a first backup version of a previous state of the source; and a backup engine to: compute a delta between the current state and the previous state; save via the backup storage a second backup version sufficient to reconstruct the current state; and assign the second backup version a reputation relative to one or more previous backup versions.

Abstract: A technique for detecting malware looks at startup hooks that may be created by malware to assist in ensuring that the malware is started upon a reboot of a programmable device. After enumerating startup hooks in the system, startup hooks associated with untrusted executables are deleted. If the startup hook is restored, that is an indication that the untrusted executable may be malware. An indication may then be passed to an anti-malware software to analyze the executable further.

Abstract: Disclosed herein are distributed ledger systems and methods for efficiently creating and updating a query optimized distributed ledger. In particular, the present disclosure introduces methods and apparatuses for efficiently updating indexes when new blocks are added to the distributed ledger by using snapshots of data and appending new snapshot tables and indexes to previous snapshot tables and indexes.

Abstract: Assessing ransomware impact includes receiving an indication of a first plurality of files stored on a user device and a classification for each of the first plurality of files, determining a second plurality of files stored in a remote storage, wherein the second plurality of files corresponds to an indication of files stored on the user device at a first prior time, wherein each of the second plurality of files are associated with a second classification, determining a third plurality of files comprising files included in the first plurality of files and not included in the second plurality of files, and calculating a risk assessment based on classifications for each of the third plurality of files.

Abstract: A technique for detecting malware looks at startup hooks that may be created by malware to assist in ensuring that the malware is started upon a reboot of a programmable device. After enumerating startup hooks in the system, startup hooks associated with untrusted executables are deleted. If the startup hook is restored, that is an indication that the untrusted executable may be malware. An indication may then be passed to an anti-malware software to analyze the executable further.

Abstract: A technique allows a parentally attested security token to serve as authentication for a minor using identifying attributes of the minor child. The security token may include personally identifiable information about the child, a description of authorized activity as well as specifications of intended use of the security token. The security token may include provisions for authentication to be revoked by a parent or guardian and/or expire after a predetermined time. The security token may be stored inside a trusted execution environment of a portable computing device that may be carried by the minor and presented at physical locations where authentication is required.

Abstract: Assessing ransomware impact includes receiving an indication of a first plurality of files stored on a user device and a classification for each of the first plurality of files, determining a second plurality of files stored in a remote storage, wherein the second plurality of files corresponds to an indication of files stored on the user device at a first prior time, wherein each of the second plurality of files are associated with a second classification, determining a third plurality of files comprising files included in the first plurality of files and not included in the second plurality of files, and calculating a risk assessment based on classifications for each of the third plurality of files.

Abstract: A technique for detecting malware looks at startup hooks that may be created by malware to assist in ensuring that the malware is started upon a reboot of a programmable device. After enumerating startup hooks in the system, startup hooks associated with untrusted executables are deleted. If the startup hook is restored, that is an indication that the untrusted executable may be malware. An indication may then be passed to an anti-malware software to analyze the executable further.

Abstract: There is disclosed in one example a computing apparatus, including: an interface to a backup source in a current state; a backup storage having stored thereon a first backup version of a previous state of the source; and a backup engine to: compute a delta between the current state and the previous state; save via the backup storage a second backup version sufficient to reconstruct the current state; and assign the second backup version a reputation relative to one or more previous backup versions.

Abstract: Pairing of an external device using a random user action is disclosed herein. An example method includes restricting, the external device from accessing a resource. A user input receivable from the external device is identified based on a type of the external device, the user input not included in a list of previously generated user actions.

Abstract: Disclosed herein are distributed ledger systems and methods for efficiently creating and updating a query optimized distributed ledger. In particular, the present disclosure introduces methods and apparatuses for efficiently updating indexes when new blocks are added to the distributed ledger by using snapshots of data and appending new snapshot tables and indexes to previous snapshot tables and indexes.

Abstract: Particular embodiments described herein provide for modular device assemblies and methods for enabling maintenance and servicing, particularly by an unmanned aerial vehicle. A device assembly comprises a plurality of modules, each module having control circuitry, a communications port and contact points to couple the modules. When the modules are coupled, the communications ports are connected to create a bus for communications between the modules. The modular device structure where modules are removable and replaceable allows for an unmanned aerial vehicle to perform maintenance on the device.