G06F21/53

Intrusion detection with honeypot keys

A honeypot file is cryptographically secured with a cryptographic key. The key, or related key material, is then placed on a central keystore and the file is placed on a data store within the enterprise network. Unauthorized access to the honeypot file can then be detecting by monitoring use of the associated key material, which usefully facilitates detection of file access at any time when, and from any location where, cryptographic access to the file is initiated.

Automated malware monitoring and data extraction
11568053 · 2023-01-31 · ·

A malware monitoring method includes: obtaining a malware sample; extracting operational parameters corresponding to the malware sample; configuring an emulator application corresponding to the malware sample using the operational parameters; executing a plurality of instances of the configured emulator application; collecting output data from each of the plurality of instances; and generating indicators of compromise (IOCs) based on the collected output data.

Automated malware monitoring and data extraction
11568053 · 2023-01-31 · ·

A malware monitoring method includes: obtaining a malware sample; extracting operational parameters corresponding to the malware sample; configuring an emulator application corresponding to the malware sample using the operational parameters; executing a plurality of instances of the configured emulator application; collecting output data from each of the plurality of instances; and generating indicators of compromise (IOCs) based on the collected output data.

Security scanning of image for virtual machine creation
11714898 · 2023-08-01 · ·

Embodiments provide automated security scanning of incoming images for use in creating containers such as a Virtual Machines. Based upon attribute(s) of metadata of the incoming image, a security engine chooses from amongst stored scripts for mounting and execution by installation logic. Such scripts can relate to the scanning itself, and/or pre-scanning considerations (such as scan frequency). In one example, the meta data attribute identifies a relevant Operating System (OS) of the incoming image. Other meta data attributes such as •scan frequency, •most recent passed scan, •log information, and •contact information (for issuance of a possible alert), may also be considered as part of the processing of an incoming image. Embodiments may enhance security by avoiding introduction of vulnerabilities through image instantiation. Embodiments may also impart flexibility to conserve resources by selectively scanning according to a frequency and/or date of last successful passage of the image.

Security scanning of image for virtual machine creation
11714898 · 2023-08-01 · ·

Embodiments provide automated security scanning of incoming images for use in creating containers such as a Virtual Machines. Based upon attribute(s) of metadata of the incoming image, a security engine chooses from amongst stored scripts for mounting and execution by installation logic. Such scripts can relate to the scanning itself, and/or pre-scanning considerations (such as scan frequency). In one example, the meta data attribute identifies a relevant Operating System (OS) of the incoming image. Other meta data attributes such as •scan frequency, •most recent passed scan, •log information, and •contact information (for issuance of a possible alert), may also be considered as part of the processing of an incoming image. Embodiments may enhance security by avoiding introduction of vulnerabilities through image instantiation. Embodiments may also impart flexibility to conserve resources by selectively scanning according to a frequency and/or date of last successful passage of the image.

Data security protection system

According to embodiments of the present disclosure, there is provided a system, method, electronic device, storage medium and program product of security protection. The system comprises: a security computing sub-system, configured to manage security of developed code to compile the developed code into an installation file corresponding to a target application and a service program for supporting the target application; a data exchange sub-system, configured to manage data communication of the target application or service program with RoW (rest of World); and a security sandbox sub-system, configured to manage traffic data associated with the target application. In this way, the embodiments of the present disclosure can guarantee the security and compliance of data related to the target application.

MULTI-TENANCY TRUSTED DATA ANONYMIZATION

A security management system including a first TEE and a common TEE is provided. The first TEE is a secured environment for data associated with a first entity. The common TEE is a seemed environment for data associated with any one of a plurality of entities. First anonymization parameters are shared between the first TEE and the common TEE The first anonymization parameters arc based at least in part on at least one privacy requirement of the first entity and at least one utility requirement of the security management system. The security management system includes processing circuitry configured to: anonymize first data associated with the first entity based at least in part on the first anonymization parameters, analyze at least the anonymized first data for performing data investigation, and generate analysis results based at least in part on the analysis of at least the anonymized first data.

METHOD AND DEVICE FOR OPERATING A COMPUTING DEVICE

A method for operating a computing device for a control unit of a motor vehicle. The computing device including a processor core, and is configured to control an exchange of data between a connectivity zone and a security zone. The security zone includes at least one component which is necessary to drive the vehicle and has an elevated relevance with regard to safety. The connectivity zone including at least one component whose operation requires communication outside of the vehicle but is not required to drive the vehicle and does not have an elevated relevance with regard to safety. At least one first program executable by the computing device is assigned to a non-trustworthy zone, and at least one further program is assigned to a trustworthy zone. The component of the connectivity zone is assigned to the non-trustworthy zone, and the component of the security zone being assigned to the trustworthy zone.

METHOD AND DEVICE FOR OPERATING A COMPUTING DEVICE

A method for operating a computing device for a control unit of a motor vehicle. The computing device including a processor core, and is configured to control an exchange of data between a connectivity zone and a security zone. The security zone includes at least one component which is necessary to drive the vehicle and has an elevated relevance with regard to safety. The connectivity zone including at least one component whose operation requires communication outside of the vehicle but is not required to drive the vehicle and does not have an elevated relevance with regard to safety. At least one first program executable by the computing device is assigned to a non-trustworthy zone, and at least one further program is assigned to a trustworthy zone. The component of the connectivity zone is assigned to the non-trustworthy zone, and the component of the security zone being assigned to the trustworthy zone.

ASSESSING DATA SECURITY OF A MANAGED DATABASE DEPLOYED IN THE CLOUD USING A SECURED SANDBOX ENVIRONMENT

A method performed by a cloud computing platform of a cloud service is disclosed to assess a data security of a database deployed in a cloud environment associated with a user of the cloud service. The method includes creating a sandbox environment in the cloud environment associated with the user, loading scanner code in the sandbox environment, wherein the scanner code includes code for performing a data security assessment, loading and restoring a snapshot of the database in the sandbox environment, setting a unique password for admin access to the restored snapshot of the database, executing the scanner code in the sandbox environment to perform the data security assessment on the restored snapshot of the database, and tearing down the sandbox environment in response to a determination that the scanner code has finished execution.