![]() ![]() With the massive growth in cyber attacks now occurring globally on a daily, weekly, and monthly basis, individuals, organizations and government data have never been so vulnerable. ![]() And this not only today but also as we transition into stronger cryptography methods. Performance quantum entropy sources addresses a key pain point. Thus, considering that already today some IT systems are suffering from low entropy levels (entropy starvation) and that the situation is worse in distributed IoT scenarios, having higher In these new security protocols, the demand for more and better random numbers is increased. These new solutions are post-quantum and quantum cryptography. Therefore, new security protocols and technologies are being developed currently all over the world. Increased needs (5G, more devices, faster communication)Ĭurrent cryptographic protocols are vulnerable to emerging threats, such as attacks performed with quantum computers or AI approaches. With the availability of quantum technologies now, in particular, quantum entropy sources, the ability to produce truly unpredictable digits becomes real, and therefore quantum entropy sources can be opted in to derive enhanced security offerings than was possible before. As a result, alternative methods were used. No quantum entropy sources were available in the past, with the first practical solutions being available only for the last 2 years. There are at least three reasons why quantum entropy sources are not widely adopted in application: 1. And Quantum technologies are now being used to produce quantum-enhanced TRNGs, that is How do quantum number generators work. Second, many TRNGs are designed based on physical principles that are complex and therefore produce “random-looking” dynamics (e.g., chaos), but which are, by principle, predictable and deterministic, which a sufficiently motivated attacker or a badly operated system may reveal to compromise security.īuilding reliable, fast and unpredictable TRNGs is essential for the present and future of cryptography. First, some systems do not even have a dedicated TRNG hardware component, due to cost or design choice, thus relying on generic components in the system to produce random samples (e.g., clock interrupts from the operating system). There are mainly two reasons for this reliance on weak TRNG designs. ![]() Unfortunately, current communication systems rely on weak TRNG designs, compromising security and/or performance of the communications. TRNGs are hardware components and sophisticated engineering is required to build them properly. TRNGs are the baseline for security applications. Thus, the randomness of such numbers comes from the underlying physical process, which may indeed be completely unpredictable. TRNGs are based on measuring a specific (random) physical process to produce random digits. ![]()
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