Embedded Hardware Security Heads to the Edge
By Gary Hilson, EETimes (June 11, 2020)
TORONTO—The days of building a moat around the castle to keep data secure were long gone before the pandemic led to a surge in remote work. With the enterprise network no longer rooted in a single place, every connection needs to be secured in line with increased server connectivity bandwidth requirements of cloud and edge computing.
With 800 Gigabit Ethernet (GbE) expected to be broadly deployed across data centers, enterprise and carrier networks for reduced latency and faster data processing, safeguarding data communications must keep pace with data transfer speeds that are working hard to keep up with CPUs.
![]() |
E-mail This Article | ![]() |
![]() |
Printer-Friendly Page |
Related News
- Secure-IC and MosChip Announce Strategic Partnership to Provide Turnkey ASIC Solutions With Embedded Security for Edge Applications
- Intrinsic ID to Demonstrate Hardware Root of Trust for IoT Security at Embedded World
- Lenovo Selects Elliptic Technologies for Embedded Hardware Security Solutions
- ARC International's Configurable Processor Embedded in UPEK's Leading-Edge Biometric Security Technology
- Faster, Smaller and More Accurate Edge AI Using Deeplite and Andes Technology Software + Hardware
Breaking News
- Tenstorrent Selects SiFive Intelligence X280 for Next-Generation AI Processors
- Rambus Expands High-Performance Memory Subsystem Offerings with HBM2E Solution on Samsung 14/11nm
- EnSilica completes PPAP on safety-critical automotive ASIC design
- BrainChip Simplifies Deep Learning with Launch of MetaTF
- sureCore Unveils New Low Voltage Register Files
Most Popular
- Renesas and SiFive Partner to Jointly-Develop Next-Generation High-End RISC-V Solutions for Automotive Applications
- TSMC certifies Aprisa place-and-route solution from Siemens on TSMC's N6 process
- Revenue of Top 10 IC Design (Fabless) Companies for 2020 Undergoes 26.4% Increase YoY Due to High Demand for Notebooks and Networking Products, Says TrendForce
- Expedera Introduces Its Origin Neural Engine IP With Unrivaled Energy-Efficiency and Performance
- Xilinx Introduces Kria Portfolio of Adaptive System-on-Modules for Accelerating Innovation and AI Applications at the Edge