The AES-IP-37 (EIP-37) is IP for accelerating the AES Key Wrap cipher algorithm (NIST-Key-Wrap & RFC3394) up to 6 Gbps. Designed for fast integration, low gate count and full transforms, the AES-IP-37 accelerator provides a reliable and cost-effective embedded IP solution that is easy to integrate into SoCs that need high speed key wrap and (key) storage or key import and export systems.
AES key wrap family of accelerators.
Available in three configurations / performance grades.
Library element for storage solutions.
The AES-IP-37 is a family of the cryptographic library elements in the Rambus hardware IP library (formerly of Inside Secure). The accelerators include I/O registers, encryption and decryption cores, and the logic for feedback modes and key scheduling.
Sustained performance ranges from 1 to 6 Gbps depending on the configuration and area. Gate count is between 33K and 62K gates (excluding memory) depending on the configuration. Multiple AES-IP-37 cores can be cascaded.
Key wrap performance of the low gate count version is around 100K key wraps of unwraps (for 80-Byte key data), for the high end it is around 500K to 700K depending on frequency.
The design of chip anti-tamper protection needs to adapt and scale with rising threats. Adversaries range from high school hackers to well-funded state actors. Given the threats, it’s useful to think about anti-tamper countermeasures as a hierarchy of safeguards that parallel the type, effort and expense of attacks. Watch this webinar to learn the eleven kinds of tampering attacks and their required skills and resources, and countermeasures for each of these attacks.
Side-channel attacks conducted against electronic gear are relatively simple and inexpensive to execute. Such attacks include simple power analysis (SPA) and Differential Power Analysis (DPA). As all physical electronic systems routinely leak information, effective side-channel countermeasures should be implemented at the design stage to ensure protection of sensitive keys and data.
Upcoming Webinar: AI Requires Tailored DRAM Solutions