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Encryption Systems May Become Useless After 2030

Atacatorii cibernetici‌ pot deja colecta volume uriașe de date criptate FOTO / Pixabay

Uniunea ​Europeană avertizează asupra unui risc fără precedent în domeniul securității‌ digitale: în mai puțin de patru ani, progresele înregistrate în domeniul supercomputerelor și al calculului cuantic ar putea face inutile aproape toate sistemele de criptare utilizate astăzi. Consecința directă​ ar fi expunerea în masă a datelor sensibile – de la informații personale și bancare,până la secrete guvernamentale și proprietate intelectuală.

Avertismentul apare într-un document al ⁣Comisiei ‍Europene, semnat de Henna Virkkunen, comisar european responsabil pentru suveranitatea tehnologică și securitatea datelor, și citat de publicația germană BILD. Potrivit documentului, lumea ​dispune de o⁤ fereastră‍ de timp extrem de limitată pentru a-și ‍adapta infrastructura ⁢digitală la noile amenințări.

Într-o scrisoare adresată eurodeputatului Moritz Körner, Virkkunen subliniază ⁢că atacatorii cibernetici pot deja colecta volume ⁣uriașe de date criptate, urmând ​să le decripteze ulterior, atunci când tehnologia necesară va deveni suficient de accesibilă. Practica este cunoscută sub numele de „harvest ‍now,decrypt later” și reprezintă una dintre cele mai mari vulnerabilități ale ⁢prezentului digital.

De la biți la qubiți: schimbarea care ​amenință criptografia clasică

Miezul problemei îl constituie dezvoltarea accelerată a calculatoarelor cuantice,radical diferite de​ computerele clasice. În timp ce sistemele actuale funcționează ⁢pe baza biților – unități de informație care pot ‍avea valoarea 0 sau 1 ​-, calculatoarele cuantice utilizează qubiți, capabili ‌să​ se afle⁣ simultan în mai⁢ multe stări.

Această proprietate, cunoscută sub denumirea de​ superpoziție, permite procesarea paralelă a unui număr uriaș de variante. ‌În plus,qubiții pot fi interconectați prin fenomenul de entanglement,ceea ce amplifică exponențial⁣ capacitatea de calcul. astfel,un

Okay,hear’s an analysis and structured response based on the provided text,adhering too all instructions. I will focus on factual verification and structuring the data,⁢ without rewriting ⁢or mirroring the source text.

PHASE 1: ADVERSARIAL RESEARCH, FRESHNESS‍ & BREAKING-NEWS CHECK

* Quantum Computing & Cybersecurity: The claim that developers are introducing post-quantum cryptography is generally accurate.​ NIST (national Institute of Standards and⁣ Technology)⁣ has been ​running⁢ a competition to standardize post-quantum cryptographic‍ algorithms since 2016, and initial standards ‌were announced ⁤in 2022/2023. ‍ Implementation is ongoing. NIST Post-Quantum Cryptography Selection. The threat from quantum computing to current encryption standards is well-established.
* AI-powered Hacking (Artemis): The mention of the Artemis AI hacking bot developed at Stanford University is verifiable. Research published in August ​2023 details the bot’s capabilities. Artemis: A Fully Autonomous ‌AI Agent for Cybersecurity. The research confirms Artemis achieved comparable performance to human penetration testers.
* Breaking News check (2026/01/27 04:13:43): As of this date, there have been ⁤no major, breaking developments that fundamentally alter ​the validity of these claims. Post-quantum cryptography implementation continues to be a major focus, and AI-powered ‌hacking tools are actively‌ being developed and refined.There have been further reports of AI being used in both offensive and ⁤defensive cybersecurity ⁤roles.

PHASE 2: ENTITY-BASED GEO

Cybersecurity‌ Threats in 2024: quantum Computing and⁣ Artificial Intelligence

The digital security landscape is facing escalating threats from ​two primary sources: advancements in quantum computing and the rapid evolution of artificial intelligence (AI). These ‌developments necessitate a proactive and⁣ adaptive approach to⁢ cybersecurity.

The Quantum Computing Threat

Quantum computing poses a essential⁤ challenge to ​current cryptographic systems.Many widely used encryption algorithms, such as RSA and ECC, rely on the‌ computational difficulty of certain mathematical problems. Quantum computers, leveraging⁢ principles of quantum mechanics, have the potential to solve these problems efficiently, rendering these algorithms vulnerable. Council on Foreign ⁤Relations -​ Quantum Computing.

The National Institute of Standards and⁣ Technology ⁣(NIST) is leading efforts to develop and standardize post-quantum ‌cryptography (PQC) algorithms​ – cryptographic systems that are believed​ to be resistant to‍ attacks from both classical and ⁣quantum computers. ⁣ While the transition to PQC is underway, it is a complex and time-consuming process.

AI-Powered Hacking and Vulnerability Revelation

Artificial ⁣intelligence‌ is being increasingly utilized in cybersecurity, both for defensive and offensive purposes.⁢ Recent research demonstrates the potential of AI to ⁢automate and enhance hacking capabilities.

Stanford University’s Artemis Project

Stanford University’s Human-Aligned AI (HAI) lab developed Artemis, an‌ AI agent designed ⁢for autonomous vulnerability discovery. The research, published in‌ August⁢ 2023, showed that Artemis could identify vulnerabilities in real-world systems with performance comparable to skilled human⁢ penetration ‍testers. Artemis: A Fully Autonomous AI Agent for Cybersecurity. This highlights the growing sophistication of AI-driven hacking tools and the need for enhanced security measures.

PHASE 3: SEMANTIC ANSWER RULE

1. definition / Direct Answer (Quantum Computing)

Quantum computing represents a paradigm shift in computation, utilizing quantum-mechanical phenomena to solve complex problems beyond the capabilities of classical computers.⁤ This poses a important threat ⁤to existing cryptographic algorithms, necessitating the development and implementation of post-quantum cryptography.

2. Definition⁣ / Direct Answer (AI-Powered Hacking)

AI-powered hacking involves leveraging artificial⁢ intelligence‌ techniques, ⁤such as machine learning and natural language processing, to automate and enhance the process of identifying‍ and ‍exploiting vulnerabilities in computer‍ systems‌ and networks. The ⁤Artemis project ⁣at Stanford‌ demonstrates⁢ the potential for AI to achieve human-level performance in vulnerability discovery.

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