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Will MemComputing be able to turn the world of cryptography upside down?
The American company MemComputing is developing a technology that can become a breakthrough in the field of cryptanalysis of modern encryption algorithms.
The essence of the approach is to integrate calculations directly into RAM. The founders of MemComputing claim that their method overcomes the so — called "von Neumann bottleneck" - the separation of data storage and processing functions between memory and processor in traditional computer architecture.
Thus, you can achieve an exponential increase in the speed of information processing.
The technology will also speed up the process of factoring large prime numbers, which are used in the <a>RSA</a> encryption algorithm to generate keys.
According to the developers, the implementation of MemComputing development in specialized chips will allow you to crack a 2048-bit RSA key in a matter of minutes. In theory, quantum computers, in the development of which scientists have invested a lot of resources recently, will help a lot in this.
For comparison, using the most modern methods on ordinary computers, RSA decryption would take longer than the universe exists.
Of course, so far we are talking only about emulation and theoretical calculations. But if the technology meets expectations, it could jeopardize many sensitive data protection systems, including government secrets and the financial sector.
Of course, many experts are skeptical about MemComputing's claims. After all, this isn't the first company promising to turn the world of crypto upside down.
Nevertheless, given the rapid progress in computing technology, the idea looks quite realistic. Consider the recent advances in quantum computing, which also seemed like science fiction a couple of decades ago.
It is too early to draw conclusions about the fate of RSA and other asymmetric cryptographic algorithms. But the fact remains that technological progress will sooner or later overtake any security system. The main question is how quickly developers can adapt to new threats.
The American company MemComputing is developing a technology that can become a breakthrough in the field of cryptanalysis of modern encryption algorithms.
The essence of the approach is to integrate calculations directly into RAM. The founders of MemComputing claim that their method overcomes the so — called "von Neumann bottleneck" - the separation of data storage and processing functions between memory and processor in traditional computer architecture.
Thus, you can achieve an exponential increase in the speed of information processing.
The technology will also speed up the process of factoring large prime numbers, which are used in the <a>RSA</a> encryption algorithm to generate keys.
According to the developers, the implementation of MemComputing development in specialized chips will allow you to crack a 2048-bit RSA key in a matter of minutes. In theory, quantum computers, in the development of which scientists have invested a lot of resources recently, will help a lot in this.
For comparison, using the most modern methods on ordinary computers, RSA decryption would take longer than the universe exists.
Of course, so far we are talking only about emulation and theoretical calculations. But if the technology meets expectations, it could jeopardize many sensitive data protection systems, including government secrets and the financial sector.
Of course, many experts are skeptical about MemComputing's claims. After all, this isn't the first company promising to turn the world of crypto upside down.
Nevertheless, given the rapid progress in computing technology, the idea looks quite realistic. Consider the recent advances in quantum computing, which also seemed like science fiction a couple of decades ago.
It is too early to draw conclusions about the fate of RSA and other asymmetric cryptographic algorithms. But the fact remains that technological progress will sooner or later overtake any security system. The main question is how quickly developers can adapt to new threats.
