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Bitcoin Encryption Faces Future Threat from Quantum Breakthroughs

 


In light of the rapid evolution of quantum computing, it has become much more than just a subject for academic curiosity—it has begun to pose a serious threat to the cryptographic systems that secure digital currencies such as Bitcoin, which have long been a secure cryptographic system. 

According to experts, powerful quantum machines will probably be able to break the elliptic curve cryptography (ECC), which underpins Bitcoin's security, within the next one to two decades, putting billions of dollars worth of digital assets at risk. Despite some debate regarding the exact timing, there is speculation that quantum computers with the capabilities to render Bitcoin obsolete could be available by 2030, depending on the advancement of quantum computing in terms of qubit stability, error correction, and other aspects. 

Cryptographic algorithms are used to secure transactions and wallet addresses in Bitcoin, such as SHA-256 and ECDSA (Elliptic Curve Digital Signature Algorithm). It can be argued that quantum algorithms, such as Shor's, might allow the removal of these barriers by cracking private keys from public addresses in a fraction of the time it would take classical computers. 

Although Bitcoin has not yet been compromised, the crypto community is already discussing possible post-quantum cryptographic solutions. There is no doubt that quantum computing is on its way; if people don't act, the very foundation of decentralised finance could be shattered. The question is not whether quantum computing will arrive, but when. 

One of the most striking revelations in the cybersecurity and crypto communities is a groundbreaking simulation conducted with OpenAI's o3 model that has re-ignited debate within the communities, demonstrating a plausible future in which quantum computing could have a severe impact on blockchain security. This simulation presents the scenario of a quantum breakthrough occurring as early as 2026, which might make many of today's cryptographic standards obsolete in a very real way. 

There is a systemic threat to the broader cryptocurrency ecosystem under this scenario, and Bitcoin, which has been the largest and most established digital asset for quite some time, stands out as the most vulnerable. At the core of this concern is that Bitcoin relies heavily upon elliptic curve cryptography (ECC) and the SHA-256 hashing algorithm, two of which have been designed to withstand attacks from classical computers. 

A recent development in quantum computing, however, highlights how algorithms such as Shor's could be able to undermine these cryptographic foundations in the future. Using a quantum computer of sufficient power, one could theoretically reverse-engineer private keys from public wallet addresses, which would compromise the security of Bitcoin transactions and user funds. Industry developments underscore the urgency of this threat. 

It has been announced that IBM intends to launch its first fault-tolerant quantum system by 2029, referred to as the IBM Quantum Starling, a major milestone that could accelerate progress in this field. However, concerns are still being raised by experts. A Google quantum researcher, Craig Gidney, published in May 2025 findings suggesting that previous estimations of the quantum resources needed to crack RSA encryption were significantly overstated as a result of these findings. 

Gidney's research indicated that similar cryptographic systems, such as ECC, could be under threat sooner than previously thought, with a potential threat window emerging between 2030 and 2035, despite Bitcoin's use of RSA. In a year or two, IBM plans to reveal the first fault-tolerant quantum computer in the world, known as Quantum Starling, by 2029, which is the biggest development fueling quantum optimism. 

As opposed to current quantum systems that suffer from high error rates and limited stability, fault-tolerant quantum machines are designed to carry out complex computations over extended periods of time with reliability. This development represents a pivotal change in quantum computing's practical application and could mark the beginning of a new era in quantum computing. 

Even though the current experimental models represent a major leap forward, a breakthrough of this nature would greatly reduce the timeline for real-world cryptographic disruption. Even though there has been significant progress in the field of quantum computing, experts remain divided as to whether it will actually pose any real threat in the foreseeable future. Despite the well-documented theoretical risks, the timeline for practical impacts remains unclear. 

Even though these warnings have been made, opinions remain split among bitcoiners. Adam Back, CEO of Blockstream and a prominent voice within the Bitcoin community, maintains that quantum computing will not be a practical threat for at least two decades. However, he acknowledged that rapid technological advancement could one day lead to a migration to quantum-resistant wallets, which might even affect long-dormant holdings such as the ones attributed to Satoshi Nakamoto, the mysterious creator of Bitcoin. 

There is no longer a theoretical debate going on between quantum physics and cryptography; rather, the crypto community must now contend with a pressing question: at what point shall the crypto community adapt so as to secure its future in a quantum-powered world? It is feared by Back, who warned Bitcoin users—including those who have long-dormant wallets, such as those attributed to Satoshi Nakamoto—that as quantum capabilities advance, they may be forced to migrate their assets to quantum-resistant addresses to ensure continued security in the future. 

While the threat does not occur immediately, digital currency enthusiasts need to begin preparations well in advance in order to safeguard their future. This cautious but pragmatic viewpoint reflects the sentiment of the larger industry. The development of quantum computing has increasingly been posed as a serious threat to the Bitcoin blockchain's security mechanisms that are based on this concept. 

A recent survey shows that approximately 25% of all Bitcoins are held in addresses that could be vulnerable to quantum attacks, particularly those utilising older forms of cryptographic exposure, such as pay-to-public-key (P2PK) addresses. When quantum advances outpace public disclosure - which is a concern that some members of the cybersecurity community share - the holders of such vulnerable wallets may be faced with an urgent need to act if quantum advancements exceed public disclosure. 

Generally, experts recommend transferring assets to secure pay-to-public-key-hash (P2PKH) addresses, which offer an additional level of cryptographic security. Despite the fact that there is secure storage, users should ensure that private keys are properly backed up using trusted, offline methods to prevent accidental loss of access to private keys. However, the implications go beyond individual wallet holders. 

While some individuals may have secured their assets, the broader Bitcoin ecosystem remains at risk if there is a significant amount of Bitcoin exposed, regardless of whether they can secure their assets. Suppose there is a mass quantum-enabled theft that undermines market confidence, leads to a collapse in Bitcoin's value, and damages the credibility of blockchain technology as a whole? In the future, even universal adoption of measures such as P2PKH is not enough to prevent the inevitable from happening. 

A quantum computer could eventually be able to compromise current cryptographic algorithms rapidly if it reaches a point at which it can do so, which may jeopardise Bitcoin's transaction validation process itself if it reaches that point. It would seem that the only viable long-term solution in such a scenario is a switch to post-quantum cryptography, an emerging class of cryptography that has been specifically developed to deal with quantum attacks.

Although these algorithms are promising, they present new challenges regarding scalability, efficiency, and integration with existing protocols of blockchains. Several cryptographers throughout the world are actively researching and testing these systems in an attempt to build robust, quantum-resistant blockchain infrastructures capable of protecting digital assets for years to come. 

It is believed that Bitcoin's cryptographic framework is based primarily on Elliptic Curve Digital Signature Algorithm (ECDSA), and that its recent enhancements have also included Schnorr signatures, an innovation that improves privacy, speeds transaction verification, and makes it much easier to aggregate multiple signatures than legacy systems such as RSA. The advancements made to Bitcoin have helped to make it more efficient and scalable. 

Even though ECDSA and Schnorr are both sophisticated, they remain fundamentally vulnerable to a sufficiently advanced quantum computer in terms of computational power. There is a major vulnerability at the heart of this vulnerability, which is Shor's Algorithm, a quantum algorithm introduced in 1994 that, when executed on an advanced quantum computer, is capable of solving the mathematical problems that govern elliptic curve cryptography quite efficiently, as long as that quantum system is powerful enough. 

Even though no quantum computer today is capable of running Shor’s Algorithm at the necessary scale, today’s computers have already exceeded the 100-qubit threshold, and rapid advances in quantum error correction are constantly bridging the gap between theoretical risk and practical threat, with significant progress being made in quantum error correction. It has been highlighted by the New York Digital Investment Group (NYDIG) that Bitcoin is still protected from quantum machines in today's world, but may not be protected as much in the future, due to the fact that it may not be as safe against quantum machines. 

Bitcoin's long-term security depends on more than just hash power and decentralised mining, but also on adopting quantum-resistant cryptographic measures that are capable of resisting quantum attacks in the future. The response to this problem has been to promote the development of Post-Quantum Cryptography (PQC), a new class of cryptographic algorithms designed specifically to resist quantum attacks, by researchers and blockchain developers. 

It is, however, a highly complex challenge to integrate PQC into Bitcoin's core protocol. These next-generation cryptographic schemes can often require much larger keys and digital signatures than those used today, which in turn could lead to an increase in blockchain size as well as more storage and bandwidth demands on the Bitcoin network. As a result of slower processing speeds, Bitcoin's scalability may also be at risk, as this may impact transaction throughput. Additionally, the decentralised governance model of Bitcoin adds an extra layer of difficulty as well. 

The transition to the new cryptographic protocol requires broad agreement among developers, miners, wallet providers, and node operators, making protocol transitions arduous and politically complicated. Even so, there is still an urgency to adapt to the new quantum technologies as the momentum in quantum research keeps growing. A critical moment has come for the Bitcoin ecosystem: either it evolves to meet the demands of the quantum era, or it risks fundamental compromise of its cryptographic integrity if it fails to adapt. 

With quantum technology advancing from the theoretical stage to practical application, the Bitcoin community stands at a critical turning point. Despite the fact that the current cryptographic measures remain intact, a forward-looking response is necessary in order to keep up with the rapid pace of innovation. 

For the decentralised finance industry to thrive, it will be necessary to invest in quantum-resilient infrastructure, adopt post-quantum cryptographic standards as soon as possible, and collaborate with researchers, developers, and protocol stakeholders proactively. 

The possibility of quantum breakthroughs being ignored could threaten not only the integrity of individual assets but also the structural integrity of the entire cryptocurrency ecosystem if people fail to address their potential effects. To future-proof Bitcoin, it is also crucial that people start doing so now, not in response to an attack, but to prepare for a reality that the more technological advancements they make, the closer it seems to being a reality.

Increasing Data Security in the Digital Era

Protecting our online profile has become crucial in the current digital era. Keeping up with the most recent technologies and techniques is essential to safeguarding personal data and privacy in light of the constantly changing technological landscape. To assist you in navigating the complicated world of digital security, this article offers a succinct summary of key tools and procedures.

1. Password Managers: Your First Line of Defense

One of the fundamental aspects of online security is having strong, unique passwords for each of your accounts. However, remembering complex passwords for multiple platforms can be a daunting task. This is where password managers step in. They generate and store strong passwords, alleviating the burden of memorization while keeping your accounts secure. CNET's comprehensive guide on the best password managers provides valuable insights into choosing the right one for your needs.

2. The SolarWinds Saga: A Wake-Up Call for Supply Chain Security

The SolarWinds breach of 2020 revealed the audacity and sophistication of supply chain attacks. Wired's in-depth analysis sheds light on the unprecedented scale and intricacy of this cyber intrusion. It serves as a stark reminder that even industry giants are not impervious to such attacks. The incident underscores the critical need for comprehensive security measures, including rigorous vendor assessments and continuous monitoring of software supply chains.

3. Slack: Revolutionizing Communication with Enhanced Security Measures

Communication platforms like Slack have become indispensable in the modern workplace. TechCrunch's coverage of Slack's exit from beta in 2014 highlights the platform's rapid ascent to prominence. As businesses increasingly rely on such tools for collaboration, it's crucial to ensure that they employ robust security features. Encryption, multi-factor authentication, and regular security audits are some of the key measures that platforms like Slack should implement to safeguard sensitive communications.

4. Prioritizing Data Privacy with Cutting-Edge Technologies

In an era where data breaches are almost commonplace, prioritizing data privacy is non-negotiable. IEEE Spectrum's dedicated section on data privacy provides a wealth of resources and insights into the latest technologies and best practices. From 

Unprecedented opportunities and problems come with living in the digital age. In a world where information is becoming more interconnected by the day, people and organizations may protect sensitive data by utilizing the strategies and technologies described in these resources. As you may recall, readiness and alertness are crucial in the field of cybersecurity.

QR Code Phishing Attacks: A Rising Threat

Leading cybersecurity firms have reported a startling 587% increase in QR code-based phishing assaults in recent times. This concerning pattern demonstrates how fraudsters are changing their strategies to take advantage of people's confidence in QR codes for a variety of objectives.

QR codes, initially designed for convenience and efficiency, have become an integral part of our digital lives. From accessing websites to making payments, these two-dimensional barcodes have streamlined numerous processes. However, this surge in phishing attacks signifies that cybercriminals are adapting and finding innovative ways to exploit this technology.

Cybersecurity experts have identified several strategies employed by attackers in these QR code phishing campaigns. One common tactic involves distributing malicious QR codes via emails or social engineering techniques. Unsuspecting victims scan these codes, unwittingly granting cybercriminals access to sensitive information or infecting their devices with malware.

Furthermore, attackers are increasingly using QR codes in conjunction with fake landing pages that mimic legitimate websites. These convincing replicas deceive users into entering their credentials or personal information, which is then harvested by the attackers. This method has proven to be highly effective, as even cautious individuals can be easily tricked by sophisticated phishing pages.

To combat this rising threat, experts emphasize the importance of user education and awareness. Individuals should exercise caution when scanning QR codes, especially if received from unknown or unverified sources. Employing reputable security software that includes QR code scanning capabilities can also provide an additional layer of protection.

Additionally, businesses and organizations should implement multi-factor authentication measures and conduct regular security audits to identify and mitigate potential vulnerabilities. By staying vigilant and adopting proactive cybersecurity measures, individuals and businesses can help curb the success of QR code phishing attacks.

The surge in QR code-based phishing attacks serves as a stark reminder of the ever-evolving landscape of cyber threats. As technology advances, so do the tactics of cybercriminals. Vigilance, education, and robust cybersecurity practices are crucial in safeguarding against these sophisticated attacks.






Using AI in Business: The Benefits and Challenges

 

Artificial intelligence (AI) has become an increasingly popular tool in the business world, offering a range of benefits such as automation, efficiency, and improved decision-making. However, its implementation also comes with a set of challenges that organizations must address to ensure they are prepared for the AI-driven future.

According to a recent article in Forbes, many organizations struggle with understanding the true impact of AI on their operations. They may have a general idea of what AI can do but are unsure of how to implement it effectively. This lack of understanding can lead to misguided investments in AI technologies that do not align with the organization's goals.

Another challenge organizations face is the impact of AI on the workforce. As AI becomes more prevalent in the workplace, it may replace certain tasks previously performed by humans, potentially leading to job displacement. The Washington Post reports that the implementation of AI could lead to a significant shift in the labor market, with some jobs becoming obsolete and others emerging to support AI-related technologies.

Despite these challenges, businesses are still investing in AI technologies due to the potential benefits they offer. Managed AI services, as outlined in VentureBeat, have emerged as a solution to many of the challenges faced by organizations looking to implement AI. By partnering with a managed AI provider, organizations can access the expertise necessary to ensure successful implementation, reduce risks associated with AI, and improve the accuracy of AI-powered systems.

In addition, organizations can take steps to address the impact of AI on the workforce by investing in upskilling and reskilling programs. These programs can help employees acquire the necessary skills to work alongside AI technologies and ensure they remain valuable members of the organization. The Forbes article suggests that a focus on upskilling and reskilling can also help build a culture of innovation within the organization.

Despite the fact that AI offers organizations a lot of potential, its deployment must be thoroughly thought out in order to secure widespread acceptance. Businesses must invest in managed AI services to minimize risks and guarantee success, educate and train their employees, and focus on upskilling and reskilling to deal with the effects of AI on the workforce. As a result, businesses may successfully make the transition to an AI-driven future while leveraging the power of AI to spur development and innovation.


Boosting AI with Synthetic Data: Benefits & Challenges

 


Artificial intelligence (AI) is becoming increasingly important across a wide range of industries. However, one of the biggest challenges facing AI is the need for large amounts of high-quality data to train algorithms effectively. This is where synthetic data comes in – it has the potential to revolutionize the way AI is developed and deployed at scale.

Improving AI/ML with synthetic data

Synthetic data refers to data that is artificially generated by computer algorithms, rather than real-world data that is collected from sensors, cameras, or other sources. Synthetic data can be used to train machine learning algorithms, which can then be used to create more accurate and efficient AI models.

One significant benefit of synthetic data is its speed of generation and lower cost compared to real-world data. This makes it an essential tool in industries like autonomous vehicles or robotics, where obtaining real-world data can be time-consuming and expensive. Synthetic data offers a wider range of scenarios that can improve the accuracy and reliability of AI models in real-world situations.

In the real world of AI, synthetic data can generate a broader range of scenarios than real-world data. For example, in the case of autonomous vehicles, synthetic data can be used to create scenarios where the vehicle is operating in different weather conditions or on different road surfaces. This can help to improve the accuracy and reliability of the AI model in a wider range of real-world scenarios.

Synthetic data and model quality

The quality of the synthetic data is critical to the quality of the AI model. The algorithms used to generate synthetic data need to be carefully designed and tested to ensure that the data accurately reflects the characteristics of real-world data. This requires a deep understanding of the domain in which the AI model will be deployed.

There are also challenges associated with the use of synthetic data in AI. Ensuring that the synthetic data accurately reflects the characteristics of real-world data is crucial. In industries like healthcare, where AI models can reinforce existing biases in data, it is essential to ensure that synthetic data does not introduce bias into the model.

To unlock the full potential of synthetic data, ongoing innovation, and collaboration are necessary to address these challenges. Future innovations in algorithms used to generate synthetic data can further revolutionize AI development and deployment at scale.

Overall, synthetic data has the potential to revolutionize the way AI is developed and deployed at scale. It provides a faster and more cost-effective way to generate data for training ML algorithms, leading to more efficient and accurate AI models. However, synthetic data must be generated with care and accuracy to ensure it accurately reflects real-world scenarios, and its use must be responsibly handled. Collaboration among researchers, industry practitioners, and regulators is necessary to use synthetic data in AI responsibly and realize its full potential.







Manchester Arena's Weapon Detecting


Evolv claims it can detect all weapons

US-based company "Evolv" known for selling artificial intelligence (AI) scanners, claims it detects all weapons.

However, the research firm IPVM says Evolv might fail in detecting various types of knives and some components and bombs. 

Evolv says it has told venues of all "capabilities and limitations." Marion Oswald, from Government Centre for Data Ethics and Innovation said there should be more public knowledge as well as independent evaluation of the systems before they are launched in the UK. 

Because these technologies will replace methods of metal detection and physical searches that have been tried and tested. 

Raised Concerns

AI and machine learning allow scanners to make unique "signatures" of weapons that distinguish them from items like computers or keys, lessening the need for preventing long queues in manual checks. 

"Metallic composition, shape, fragmentation - we have tens of thousands of these signatures, for all the weapons that are out there. All the guns, all the bombs, and all the large tactical knives," said Peter George, chief executive, in 2021. For years, independent security experts have raised concerns over some of Evolv's claims. 

The company in the past didn't allow IPVM to test its technology named Evolv Express. However, last year, Evolve allowed the National Center for Spectator Sports Safety and Security (NCS4). 

NCS4's public report, released last year, gave a score of 2.84 out of 3 to Evolv- most of the guns were detected 100% of the time. 

IPVM's private report shows loopholes

However, it also produced a separate report (private), received via a Freedom of Information request by IPVM. The report gave Evolv's ability to identify large knives 42% of the time. The report said that the system failed to detect every knife on the sensitivity level noticed during the exercise. 

The report recommended full transparency to potential customers, on the basis of the data collected. ASM Global, owner of Manchester arena said its use of Evolv Express is the "first such deployment at the arena in Europe," it is also planning to introduce technology to other venues. 

In an unfortunate incident in 2017, a man detonated a bomb at an Ariana Grande concert in the arena, which kille22 people and injured more than hundreds, primarily children. 

Evolv's Response

Evolv didn't debate IPVM's private report findings. It says that the company believes in communicating sensitive security information, which includes capabilities and limitations of Evolv's systems, allowing security experts to make informed decisions for their specific venues. 

We should pay attention to NCS4's report as there isn't much public information as to how Evolv technology works.