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Los Alamos Scientists Develop AI to Fight Cryptojacking
Their neural network works faster and more reliably than non-AI systems, researchers said.
By Danny Nelson
Updated Sep 14, 2021, 9:46 a.m. Published Aug 21, 2020, 2:28 p.m. 1 min read
Scientists at Los Alamos National Laboratory, the U.S. government-funded research outpost that once hosted the atomic bomb Manhattan Project, say they have designed an artificial intelligence for detecting would-be cryptojackers.
- In a press release, the scientists said their new AI sniffs out malicious code injections that can turn vulnerable supercomputers into zombie cryptocurrency mining operations, a serious IT issue that strikes governments and corporations globally.
- Called SiCaGCN, the neural network works by checking if a given program has the right backend structure to run on the computer system. Those that do, pass through. Those that don't, get flagged for removal.
- “This type of software watchdog will soon be crucial to prevent cryptocurrency miners from hacking into high-performance computing facilities and stealing precious computing resources,” project researcher Gopinath Chennupati said in the statement.
- SiCaGCN detected cryptojacking code faster and more reliably than non-AI solutions, according to the statement. The scientists originally proposed SiCaGCN in the journal IEEE Access last month.
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What to know:
- A $1.26 billion block sale of BlackRock’s IBIT shares was likely a rapid exit by a large investor, not an arbitrage unwind, according to NYDIG.
- The seller of the $1.26 billion IBIT block accepted a 2.3% discount ($29.5 million loss), signaling a priority on speed and certainty over maximizing price.
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