Amazon Technologies, Inc.

Nachiketh Rao Potlapally

Michael David Marr

Donald Lee Bailey, Jr

Rahul Gautam Patel

Eric Jason Brandwine

Derek Del Miller

William John Earl

Gregory Branchek Roth

Matthew Shawn Wilson

Robert Eric Fitzgerald

Andrew Paul Mikulski

Jeremy Volkman

Rachit Chawla

Deepak Singh

Hassan Sultan

John Schweitzer

Matthew John Campagna

James Robert Hamilton

Gregory Alan Rubin

Richard Weatherly

Andrew J Doane

Anthony Nicholas Liguori

Mark Bradley Davis

Matthew David Klein

David James Borland

John Merrill Phillips

Jason Alexander Harland

Nicholas Patrick Wilt

Stephen Edward Schmidt

Scott Michael Le Grand

Christopher James BeSerra

Uwe Dannowski

Jonathan Matthew Miller

Patrick Brigham Cullen

Patrick James Ward

Alexander Robin Gordon Lucas

James Leon Irving, Jr

Brian L Speegle

Andrew Jeffrey Doane

Jeremy Ryan Volkman

Jr Donald Lee Bailey

Methods and apparatus for a computing infrastructure for configurable-quality random data are disclosed. A storage medium stores program instructions that when executed on a processor designate some servers of a provider network as members of a pool of producers of random data usable by random data consumers. The instructions, when executed, determine a subset of the pool to be used to supply a collection of random data intended for a random data consumer, and one or more sources of random phenomena to be used to generate the collection of random data. The instructions, when executed, initiate a transmission of the collection of random data directed to the random data consumer.

Computing infrastructure for configurable-quality random data

A device is provisioned and authorized for use on a network. The device may generate a cryptographic key and provide a digital certificate the cryptographic key, a hardware identifier, and attribute information and provide such information to an authorization host as part of the provisioning process. The authorization host may use attribute information to determine whether to authorize the device for use on the network, and whether the generated cryptographic key should be trusted for use on the network.

Provisioning network keys to devices to allow them to provide their identity

Approaches are described for enabling a host computing device to store credentials and other security information useful for recovering the state of the host computing device in a secure store, such as a trusted platform module (TPM) on the host computing device. When recovering the host computing device in the event of a failure (e.g., power outage, network failure, etc.), the host computing device can obtain the necessary credentials from the secure store and use those credentials to boot various services, restore the state of the host and perform various other functions. In addition, the secure store (e.g., TPM) may provide boot firmware measurement and remote attestation of the host computing devices to other devices on a network, such as when the recovering host needs to communicate with the other devices on the network.

Remote attestation of host devices

Anomalous behavior in a multi-tenant computing environment may be identified by analyzing hardware sensor value data associated with hardware events on a host machine. A privileged virtual machine instance executing on a host machine acquires hardware sensor values and causes the values to be compared to other hardware sensor value data that may be indicative of anomalous behavior; for example, various threshold values, patterns, and/or signatures of hardware counter values generated by analyzing and correlating hardware event counter data. In this manner, potential anomalous behavior on an instance may be determined without having to access customer data or workloads associated with the instance.

Detecting anomalous behavior in an electronic environment using hardware-based information

A processor on a host machine can concurrently operate a standard virtual machine manager (VMM) and a security VMM (SVMM), where the SVMM has a higher privilege level and manages access to a hardware TPM or other trusted source on the host machine. Such a configuration prevents a compromised VMM from gaining access to secrets stored in the hardware TPM. The SVMM can create a virtual TPM (vTPM) for each guest VM, and can seal information in each vTPM to the hardware TPM. A guest VM or the standard VMM can access information in the corresponding vTPM only through the corresponding SVMM. Such an approach enables the host to securely implement critical security functionality that can be exposed to customers, and provides protection against leakage of customer secrets in case of a security compromise.

Parallel virtual machine managers

Methods and apparatus for datacenter power management optimization are disclosed. Metrics, including workload data, thermal measurements and the like are collected from numerous endpoints within a datacenter. System profiles of a plurality of servers, and application workload profiles for various workloads, are stored. Based on analysis of collected metrics, power optimization operations comprising either workload scheduling operations, power configuration change operations, or both, are initiated.

Datacenter power management optimizations

A trusted computing host is described that provides various security computations and other functions in a distributed multitenant and/or virtualized computing environment. The trusted host computing device can communicate with one or more host computing devices that host virtual machines to provide a number of security-related functions, including but not limited to boot firmware measurement, cryptographic key management, remote attestation, as well as security and forensics management. The trusted computing host maintains an isolated partition for each host computing device in the environment and communicates with peripheral cards on host computing devices in order to provide one or more security functions.

Trusted computing host

Methods and apparatus for securing client-specified credentials at cryptographically-attested resources are described. An indication is obtained that resources deployed for execution of a compute instance of a multi-tenant computing service at an instance host of a provider network meet a client's security criteria. An encrypted representation of credentials to be used at the compute instance to implement operations on behalf of a client is received at the instance host. The credentials are extracted from the encrypted representation using a private key unique to the instance host, used for the operations, and then removed from the instance host without being saved in persistent memory.

Securing client-specified credentials at cryptographically attested resources

A graph of a plurality of resources in a computing environment is generated, with the graph associating a first resource of the plurality with a second resource of the plurality. Based at least in part on measurements obtained at a point in a test computing environment that corresponds to a point in the computing environment, a graph representing the relationship between the first resource and the second resource is generated. A threat model identifying potential risks to the computing environment is created from the graph.

Threat detection and mitigation through run-time introspection and instrumentation

A device is provisioned and authorized for use on a network. The device may be required to generate a cryptographic key and provide a digital certificate the cryptographic key, a hardware identifier, and attribute information to an authorization host as part of the provisioning process. The authorization host may use attribute information to determine whether to authorize the device for use on the network, and whether the generated cryptographic key should be trusted for use on the network.

A multi-tenant trusted platform module (MTTPM) is attached to a communication bus of a virtualization host. The MTTPM includes a plurality of per-guest-virtual-machine (per-GVM) memory location sets. In response to an indication of a first trusted computing request (TCR) associated with a first GVM of a plurality of GVMs instantiated at the virtualization host, a first memory location of a first per-GVM memory location set is accessed to generate a first response indicative of a configuration of the first GVM. In response to an indication of a second TCR associated with a second GVM, a second memory location of a second-per-GVM memory location set is accessed to generate a second response, wherein the second response is indicative of a different configuration of the second GVM.

Multi-tenant trusted platform modules

A computing device has a processor and a first memory, e.g., a fuse-based memory, storing a first cryptographic key. The processor is configured to receive information related to a second cryptographic key from a cryptographic key provisioning system. The processor derives the second cryptographic key from the information related to a second cryptographic key. The first cryptographic key has fewer bits than the second cryptographic key. The processor is also configured to encrypt the second cryptographic key using the first cryptographic key, and store the encrypted second cryptographic key in a second memory, e.g., a flash memory.

Updating encrypted cryptographic key

Techniques are described for injecting noise in a timer value provided to an instruction requesting the timer value. A plurality of tasks may execute on a processor, wherein the processor may comprise one or more processing cores and each task may include a plurality of computer executable instructions. In accordance with one technique for injecting noise in the timer value, a request for a first timer value is received by one or more computer executable instructions belonging to a first task from the plurality of tasks, and in response, a second timer value is provided to the first task instead of the first timer value, wherein the second timer value is derived from the first timer value and a random number.

Noise injected virtual timer

A computing device includes a processor and a persistent memory for storing information about a first public key associated with a first asymmetric key pair for authenticating the source of a digital certificate. The computing device also includes a second memory for storing one or more current key version indicators. Each of the current key version indicators is associated with a corresponding secondary public key, and the one or more current key version indicators are used by the processor to determine the trust of the corresponding secondary public key.

Growing community of inventors

Arlington, VA, United States of America

Nachiketh Rao Potlapally