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Researchers use Intel SGX to put malware beyond the reach of antivirus software | Ars Technica
Processor protects malware from attempts to inspect and analyze it.
Researchers have found a way to run malicious code on systems with Intel processors in such a way that the malware can't be analyzed or identified by antivirus software, using the processor's own features to protect the bad code. As well as making malware in general harder to examine, bad actors could use this protection to, for example, write ransomware applications that never disclose their encryption keys in readable memory, making it substantially harder to recover from attacks.
The research, performed at Graz University of Technology by Michael Schwarz, Samuel Weiser, and Daniel Gruss (one of the researchers behind last year's Spectre attack), uses a feature that Intel introduced with its Skylake processors called SGX ("Software Guard eXtensions"). SGX enables programs to carve out enclaves where both the code and the data the code works with are protected to ensure their confidentiality (nothing else on the system can spy on them) and integrity (any tampering with the code or data can be detected). The contents of an enclave are transparently encrypted every time they're written to RAM and decrypted upon being read. The processor governs access to the enclave memory: any attempt to access the enclave's memory from code outside the enclave is blocked; the decryption and encryption only occurs for the code within the enclave.
security  privacy  chip  firmware  malware  research  RAM 
8 days ago by rgl7194
FindChips: Electronic Components, Distributor Inventories, Datasheets
Find data about most electronic components quickly using the search form on this page.
chip  electronics  hardware  search  parts  data 
11 days ago by brentfarwick
FindChips: Electronic Components, Distributor Inventories, Datasheets
Search for stock, prices and datasheets for electronic parts by distributor and manufacturer.
electronics  chip  search  parts 
13 days ago by planb
AI processor developer Hailo expands funding to $21 Million | eeNews Europe
The processor is designed to fit into embedded devices, enabling them to process high-resolution, high-throughput video and other streams in real time using state-of-the-art deep learning algorithms - with low power consumption, compact size and low cost.

Hailo sees target applications for its AI processor primarily in the automotive industry, but also in a variety of other markets such as surveillance, smart home, IoT and industry, as well as robotics, AR/VR platforms and wearables.
deep-learning  chip  hardware  ai  video-processing  startup 
23 days ago by lavallee

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