F5 Networks, Inc.

F5, Inc.

Nvidia Corporation

Blockchain Innovation, LLC

Liang Cheng

Saxon Carl Amdahl

Harikrishna Madadi Reddy

Sumandra Majee

Himadri Choudhury

Manindra Parhy

Atul Patil

Saxon Amdahl

Andrey Jivsov

Eswar Chander Balasubramanian

Austin Trombley

Shawn Hurley

Neha Kochar

Methods, non-transitory computer readable media, network traffic manager apparatuses, and systems that assist with optimizing selection from hardware security servers includes receiving data from candidate hardware security servers after sending an operation status request or a capability query to the candidate hardware security servers. The hardware security requirements can comprise of one or more server operation rules. Then, generating compliance scores for the candidate hardware security servers based on hardware security server requirements, built-in hardware security server requirements, and received data from the candidate hardware security servers. The method can then include generating a rank for the candidate hardware security servers based on the compliance scores of the candidate hardware security servers and providing the hardware security server recommendation for one of the candidate hardware security servers to the client based on the generated rank of the candidate hardware security servers with compliance scores above a predetermined threshold.

Methods for optimizing selection of a hardware security server and devices thereof

Technology related to accessing security hardware keys is disclosed. In one example, a method includes receiving an initial request to perform a first cryptographic operation using a key stored in security hardware circuitry. In response to servicing the initial request, a persistent attribute of the key can be used to query the security hardware circuitry to receive a volatile attribute of the key. The volatile attribute of the key can be stored external to the security hardware circuitry to enable subsequent requests to perform cryptographic operations on the security hardware circuitry without querying the security hardware circuitry for the volatile attribute of the key. A subsequent request referencing the key can be received. The subsequent request can be serviced by using the security hardware circuitry and identifying the key using the stored volatile attribute of the key without querying the security hardware circuitry for the volatile attribute of the key.

Accessing security hardware keys

In a blockchain network, a 'cold wallet' allows users to securely create and store their private key and sign their transaction data only when the wallet is completely offline. When a user requests a transaction, a user key tag that identifies the user's key is determined. The transaction data and the user's key tag are transmitted to a cold wallet that includes an HSM Trusted Client and an HSM over a first one-way communication channel during a window in a first sequence of connection windows. Inside the cold wallet, the HSM Trusted Client uses the user key tag to determine an encrypted version of the user's signing key. During a processing window, the transaction data and encrypted signing key are transmitted to the HSM, where a cleartext key is recovered and used to sign the transaction, and the signed transaction is transmitted back to the HSM Trusted Client. During a second connection window, the signed transaction is transmitted from the HSM Trusted Client for transmission to the blockchain network. The processing and connection windows do not overlap. The one-way communication paths combined with the non-overlapping connection and processing prevent unauthorized access to the signing keys.

Apparatus and methods of air-gapped crypto storage using diodes

A method, non-transitory computer readable medium, and application management computing device that obtains a segment of streaming video content from a server device in response to a request for the segment received from a client device. One or more static or dynamic parameter values associated with the streaming video content are determined. A segment quality of experience (QOE) score is generated for the segment based on one or more of the static or dynamic parameter values. A session identifier is extracted from the request or from a response from the server device that includes the segment. A video QOE score is generated for the streaming video content based on the segment QOE score and another segment QOE score for another segment of the streaming video content retrieved from a record of a session database associated with the session identifier. The video QOE score is output.

Methods for monitoring streaming video content quality of experience (QOE) and devices thereof

A method, non-transitory computer readable medium, and application acceleration management (AAM) computing device that modifies an obtained master playlist file such that a first set of meta information is appended to a network address of a secondary playlist file. The secondary playlist file is obtained and modified such that the first and second sets of meta information are appended to a network address of a media file. Alternatively to modifying the playlist files, first and second cookies including the first set of meta information and the first and second sets of meta information, respectively, can be used. A cache score is generated for the media file based on the first and second sets of meta information included in a request for the media file. The media file is obtained, stored in a cache as associated with the cache score, and sent in response to the request.

Methods for improved cache maintenance and devices thereof

A system for executing video encoding operations. The system includes a video encoder for encoding an incoming video stream into a plurality of macro blocks. A motion estimation engine is coupled to the video encoder for controlling the encoding of the macro blocks. A video rate control processor is coupled to the video encoder and coupled to the motion estimation engine. The video rate control processor receives a plurality of parameters from the video encoder that indicate an encoding complexity for a macro block and a video frame of the video stream and, upon receiving an indication from the motion estimation engine, computes a quantization parameter for the macro block. The quantization parameter is dynamically adjusted for the video stream to achieve a target bit rate.

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San Jose, CA, United States of America

Liang Cheng