cryptography

In light of the technological revolution the world is witnessing, many new financial terms have emerged, the most prominent of which are 'digital currencies' and 'cryptocurrencies.' Although the two terms are sometimes used interchangeably, there is a fundamental difference between them in terms of concept, usage, and technology. In this article, we will clarify the difference between them in a simplified manner.

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In an age where data breaches and cyber threats are rampant, cryptography has become an essential part of our digital lives. While the technical aspects of cryptography may seem daunting to many, popular movies and television series have introduced audiences to the fascinating world of encryption, making it more accessible and entertaining. This article explores how various films and series depict cryptography, illustrating its significance and applications in both fictional and real-world scenarios.

▎1. The Imitation Game (2014)

One of the most notable films that delves into the world of cryptography is "The Imitation Game". This biographical drama tells the story of Alan Turing, a brilliant mathematician who played a crucial role in breaking the German Enigma code during World War II. The film highlights the importance of cryptography in wartime intelligence and showcases Turing's innovative approach to problem-solving through his development of the Bombe machine.

Turing's efforts not only shortened the war but also laid the groundwork for modern computing and cryptographic techniques. The film serves as a reminder of how cryptography can change the course of history and emphasizes the ethical dilemmas faced by those who work in this field.

▎2. Sneakers (1992)

In "Sneakers", a team of security experts is tasked with testing the security systems of various organizations. The film incorporates elements of cryptography as the team uncovers a device capable of decrypting any code. The plot revolves around themes of trust, privacy, and the implications of having such powerful technology in the wrong hands.

The movie cleverly illustrates the dual nature of cryptography: while it can protect sensitive information, it can also be weaponized. It raises important questions about surveillance and security in an increasingly interconnected world, making viewers ponder the balance between safety and privacy.

▎3. Mr. Robot (2015-2019)

The critically acclaimed series "Mr. Robot" takes a deep dive into the world of hacking, cybersecurity, and encryption. The protagonist, Elliot Alderson, is a cybersecurity engineer by day and a vigilante hacker by night. Throughout the series, viewers are introduced to various hacking techniques, including social engineering and cryptographic methods used to secure communications.

The show effectively portrays the complexities of modern cybersecurity threats and highlights how cryptography plays a vital role in protecting personal data from malicious actors. It also explores themes of identity, mental health, and societal implications of technology, making it a compelling watch for anyone interested in the intersection of ethics and technology.

▎4. Cryptography in "The Matrix" Trilogy

The *Matrix* trilogy presents a unique take on reality, technology, and control. While not explicitly focused on cryptography, the series uses concepts related to encryption and information security as metaphors for understanding reality. The idea that human perception can be manipulated through a simulated environment mirrors concerns about data integrity and authenticity in our digital age.

In this context, cryptography serves as a tool for resisting control and ensuring freedom. The characters’ struggles against an oppressive system resonate with real-world issues surrounding privacy and surveillance, making the trilogy a thought-provoking exploration of technology's impact on society.

▎5. National Treasure (2004)

In "National Treasure", treasure hunter Benjamin Franklin Gates embarks on a quest to uncover hidden treasures using clues encrypted within historical documents. The film cleverly intertwines history with cryptographic puzzles, showcasing how codes can protect valuable secrets. Gates' journey emphasizes the thrill of deciphering codes and the importance of preserving knowledge.

While primarily an adventure film, "National Treasure" highlights how cryptography has been utilized throughout history to safeguard information, from ancient manuscripts to modern digital communications. It serves as an entertaining reminder that encryption has always played a role in protecting secrets.

▎Conclusion

Cryptography may seem like a complex subject reserved for mathematicians and computer scientists, but popular culture has found ways to make it relatable and engaging. Through films like "The Imitation Game" and series like "Mr. Robot", audiences gain insight into the critical role encryption plays in our lives—protecting personal information, securing communications, and even shaping historical events.

As we navigate an increasingly digital world fraught with security challenges, understanding the principles of cryptography becomes ever more important. These cinematic portrayals not only entertain but also educate viewers about the significance of encryption in safeguarding our privacy and freedom in an interconnected society. So next time you watch a movie or series featuring cryptography, take a moment to appreciate the intricate dance between technology, security, and human ingenuity that unfolds on screen.
#cryptography #earn

Despite denials by the French authorities, evidence continues to accumulate that suggests the arrest of the founder of the encrypted messaging service Telegram was a disguised political maneuver.
Pavel Durov was arrested last Saturday, August 24, as his private jet had just landed near Paris, France. Many voices were quickly raised, all over the world, to denounce this arrest, which many perceive as a serious attack on freedom of expression and communication.

Quantum computers are considered one of the most promising technologies of the future. They promise computing power far beyond that of classical computers. However, this revolution could also pose a threat to modern cryptography—and thus to systems like Bitcoin.
The critical question is: Can quantum computers break Bitcoin? And if so, will Bitcoin need an upgrade?
How Quantum Computers Threaten Cryptography
The security of modern cryptography relies on mathematical problems that are difficult for classical computers to solve. Bitcoin primarily uses two algorithms:
1. SHA-256 (for hash functions)
2. ECDSA (Elliptic Curve Digital Signature Algorithm, for digital signatures)
Quantum computers could specifically attack ECDSA using Shor’s Algorithm, which can break elliptic curve cryptography. In theory, this would allow an attacker to derive private keys from public addresses—a nightmare scenario for Bitcoin.
Does This Also Affect SHA-256?
Fortunately, SHA-256 (and similar hash functions) are only minimally vulnerable to quantum attacks. Grover’s Algorithm could theoretically cut search times in half, but even then, attacking Bitcoin mining or transaction hashes would be extremely resource-intensive.
Is Bitcoin Really at Risk?
The good news: Not anytime soon.
1. Quantum computers are not yet powerful enough
- Current quantum computers have only a few error-prone qubits.
1. Breaking ECDSA would require thousands of error-corrected qubits—something that is still years or decades away.
2. Bitcoin transactions are often "quantum-resistant"
- As long as Bitcoin addresses are used only once (as recommended), the risk is low.
- Only publicly known addresses (e.g., unused funds in old wallets) would be vulnerable.
3. The community can adapt
- If quantum computers become a real threat, Bitcoin can upgrade to quantum-resistant cryptography (e.g., Lamport signatures or lattice-based cryptography).
Will Bitcoin Need an Upgrade? Long-term: Yes.
Once quantum computers become practically viable, Bitcoin will need to update its signature algorithms. However, progress is slow enough that the community will have time to respond.
Possible Solutions:
- Post-quantum cryptography (e.g., XMSS, SPHINCS+)
- Schnorr signatures (already part of Bitcoin’s protocol, offering better scalability and serving as a foundation for quantum-resistant upgrades)
- Hybrid systems (combining ECDSA with quantum-resistant signatures)
Conclusion: Bitcoin is (Still) Safe
Quantum computers pose a potential threat, but not an immediate one. Bitcoin developers have time to prepare, and promising quantum-resistant solutions already exist.
Bitcoin won’t be cracked overnight—but the community must stay vigilant. Once quantum computing makes significant advances, an upgrade will be necessary. Until then, the network remains secure.

Further Topics:
- Post-quantum cryptography
- Quantum-Resistant Ledger (QRL)
- Bitcoin Improvement Proposals (BIPs) for quantum security
#quantumcomputers #Cryptography
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1. 📘 Learn the Basics: Start your journey by diving deep into blockchain fundamentals. Understand what blockchain is, how it operates, and its impact on technology. #blockchain 2. 🔐 Master Cryptography: Get a grip on cryptography - the core of blockchain security. Learn about encryption, hash functions, and the power of keys. #cryptography 3. 💻 Programming Languages: Choose your coding weapon! Solidity for Ethereum, Python, or JavaScript? Pick one and start coding. #Solidity 4. 📜 Smart Contracts: Explore the world of smart contracts - self-executing contracts with the terms of the agreement written into code.5. 🌐 Blockchain Platforms: Get to know various platforms like Ethereum, Hyperledger, or Binance Smart Chain. Each offers unique features and opportunities.6. 🙌 Practical Experience: Time to get hands-on! Build a simple blockchain or a basic smart contract to put your knowledge into practice.7. 📱 APIs & SDKs Adventure: Use blockchain APIs for transactions and data retrieval. SDKs can help build robust applications. Check out platforms like Tatum.io.8. 🤝 Join the Community: Connect with fellow blockchain enthusiasts. Forums, social media groups, and meetups are great places to start.9. 👀 Stay Updated: The blockchain world moves fast. Keep up with the latest trends, news, and developments in the field.10. 💪 Build and Contribute: Apply your skills. Work on personal projects, contribute to open-source blockchain projects, or participate in hackathons.🚀 Bonus Tip - 🎓 Formal Education: Consider online courses or certifications for a more structured learning path.This guide should help you embark on your blockchain development journey. Remember, it's a field of continuous learning and experimentation. Happy coding! 🌟

Imagine a world where randomness is not just a concept, but a verifiable truth. Welcome to the realm of Verifiable Random Functions (VRFs), a cryptographic innovation that's revolutionizing the way we approach randomness in blockchain and beyond.

*What are VRFs?*

VRFs are a type of random number generator that produces outputs that can be cryptographically verified as random. This means that the generated numbers are not only random but also tamper-proof and unpredictable, making them ideal for high-stakes applications.

*How Do VRFs Work?*

VRFs use complex mathematical algorithms to generate random numbers, along with a proof of authenticity that can be verified by anyone. This proof ensures that the generated numbers are truly random and haven't been manipulated.

*Applications of VRFs*

1. *Blockchain Gaming*: VRFs can be used to generate unpredictable outcomes in blockchain games, ensuring fairness and transparency.
2. *NFTs*: VRFs can be used to create unique and rare digital assets, such as NFTs, that are verifiably random and scarce.
3. *Lotteries and Giveaways*: VRFs can be used to fairly select winners in lotteries and giveaways, eliminating the need for trust-based systems.
4. *Cryptographic Security*: VRFs can be used to generate secure random numbers for cryptographic applications, such as key generation and nonces.

*Chainlink VRF: A Leading Implementation*

Chainlink VRF is a popular implementation of VRFs that provides a secure and verifiable source of randomness for blockchain applications. It uses open-source code and cryptography to ensure that the generated numbers are tamper-proof and unpredictable.

*Benefits of Using VRFs*

- *Unpredictability*: VRFs ensure that the generated numbers are truly random and unpredictable.
- *Fairness*: VRFs ensure that the generated numbers are fair and unbiased.
- *Security*: VRFs provide a secure source of randomness that can be used for cryptographic applications.

In conclusion, VRFs are a powerful tool for generating verifiable randomness in blockchain and cryptography. With their ability to produce tamper-proof and unpredictable outputs, VRFs have the potential to revolutionize a wide range of applications, from gaming and NFTs to cryptographic security.

*Share Your Thoughts!*

What do you think is the most exciting application of VRFs in blockchain and cryptography? Share your thoughts in the comments below! #VRFs #Blockchain #Cryptography #Randomness #Binance #BinanceSquare #BlockchainBuzz

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01. Neurological enhancement
Neurological enhancement aims to improve human cognitive abilities through technologies that read and decode brain activity.
Gartner notes that by 2030: "30% of knowledge workers will be enhanced by technologies such as bidirectional brain-machine interfaces (BBMIs)," up from less than 1% in 2024.
Companies like Neuralink and Elon Musk are pioneering this field, developing implants that allow individuals to control devices with their thoughts.
This means that this technology has potential applications in human upskilling, marketing and performance optimisation, enabling brands to understand consumer emotions and enhancing neural capabilities for better outcomes.
2. Polyfunctional Robots
by replacing traditional task-specific robots with machines capable of performing multiple functions.
Gartner highlights that these robots: "Improve efficiency and provide a faster ROI", making them essential in dynamic environments.
By 2030, Gartner forecasts that: "80% of humans will engage with smart robots on a daily basis," a significant increase from less than 10% today.
Amazon and Siemens are two companies investing in polyfunctional robotics to enhance operational flexibility.
Whilst Amazon employs these robots in its warehouses for tasks ranging from sorting to packaging, Siemens integrates them into manufacturing processes to streamline production lines.
A further development in this field is the use of polyfunctional robots in healthcare, where they assist with tasks like delivering supplies and disinfecting spaces.
3. Spatial Computing
Gartner reports that spatial computing will significantly increase organisational effectiveness through "streamlined workflows and enhanced collaboration" over the next five to seven years.
Spatial computing integrates AR, VR and mixed reality to enhance interactions between the physical and digital worlds.
By 2033, Gartner predicts spatial computing will grow to US$1.7tn, up from US$110bn in 2023.
This evolution has led Microsoft and Apple to lead advancements in this field.
Microsoft's HoloLens enables users to overlay digital information onto real-world environments and Apple's Vision Pro is set to redefine user engagement through immersive experiences.
Meanwhile, in healthcare, spatial computing enhances patient education and surgical planning by providing real-time digital overlays
4. Postquantum Cryptography (PQC)
Postquantum cryptography (PQC) is emerging as a critical focus in the tech industry, because it addresses the looming threat of quantum computers breaking current encryption methods.
Gartner forecasts this technology: “As quantum computing developments have progressed over the last several years, it is expected there will be an end to several types of conventional cryptography that is widely used.
“It is not easy to switch cryptography methods so organisations must have a longer lead time to ready themselves for robust protection of anything sensitive or confidential.”
Major tech companies are actively preparing for this shift.
For instance, HP will be the first PC maker to protect its on-board firmware with PQC.
Meanwhile, Google, IBM and Microsoft are developing quantum-resistant algorithms and the US National Institute of Standards and Technology (NIST) announced its new PQC standards in August 2024, guiding the industry's transition.
Gartner predicts that: "By 2029, advances in quantum computing will make conventional asymmetric cryptography unsafe to use.
5. Agentic AI
Part of its power is its application span across multiple industries, including manufacturing, customer service, logistics and healthcare, by rapidly analysing massive datasets for drug discovery. 
At the same time in the financial sector, agentic AI is being used to analyse market trends, assess investment opportunities and create personalised financial plans.
This technology is primarily assisting the shift from query-and-response systems to autonomous machine agents capable of performing enterprise-related tasks without human guidance.
Gartner predicts that: "By 2028, at least 15% of day-to-day work decisions will be made autonomously through agentic AI, up from 0% in 2024.”
The realisation and potential of agentic AI has led major tech companies to focus on its development, such as Microsoft signing a multi-year deal with the UK government to offer public sector organisations access to its AI tools.
As a whole and for the future, agentic AI aims to increase efficiency and productivity by enabling software agents to take on complex, decision-intensive tasks.
Like Gartner concludes: “Agentic AI has the potential to realise CIOs’ desire to increase productivity across the organisation.
“This motivation is driving both enterprises and vendors to explore, innovate and establish the technology and practices needed to deliver this agency in a robust, secure and trustworthy way.
6. AI governance platforms
AI governance platforms are addressing the growing need for responsible AI implementation.
Gartner defines AI governance within its business as "part of Gartner’s evolving AI Trust, Risk and Security Management (TRiSM) framework that enables organisations to manage the legal, ethical and operational performance of their AI systems.
“These technology solutions have the capability to create, manage and enforce policies for responsible AI use, explain how AI systems work and provide transparency to build trust and accountability.”
This example shows that as AI adoption accelerates, governance platforms are becoming essential for managing ethical, legal and operational risks.
Gartner predicts that: "By 2028, organisations that implement comprehensive AI governance platforms will experience 40% fewer AI-related ethical incidents compared to those without such systems.” 
Companies like Credo AI and Fairly AI are at the head of AI governance solutions, with Credo AI offering tools to help organisations prepare for the EU AI Act.
7. Disinformation security
Disinformation security is overall, a cross-section of vertical technologies including executive leadership, security teams, public relations, marketing, finance, human resources, legal counsel and sales.
This means that its nature allows it to address issues across multiple industries and tackle the growing threat of AI-enhanced malicious attacks and misinformation.
The technology aims to systematically discern trust and provide methodological systems for ensuring integrity, assessing authenticity and preventing impersonation.
It is transformative in its approach to combating the spread of false information as it leverages AI and ML to detect and mitigate threats.
Major tech companies are investing in disinformation security, such as Meta who has mandated the disclosure of AI-generated content, while Google and Microsoft are developing advanced detection algorithms.
Simultaneously, PwC reports that commercial services are emerging to help companies and journalists track and combat misinformation.
Gartner predicts that: "By 2028, 50% of enterprises will begin adopting products, services or features designed specifically to address disinformation security use cases, up from less than 5% today.
8. Ambient invisible intelligence
Ambient invisible intelligence integrates advanced sensors and ML technologies into everyday environments.
It aims to enhance comfort and efficiency seamlessly, merging digital intelligence with physical spaces to support a higher quality of life.
Gartner believes: “In the long term, ambient invisible intelligence will enable a deeper integration of sensing and intelligence into everyday life.”
For example, in the healthcare sector, ambient invisible intelligence is creating smarter, responsive environments that improve patient care and staff efficiency - such as - ICUs are leveraging this technology to enhance patient mobilisation and monitoring, with one study demonstrating an 87% accuracy in categorising patient movements.
Eleos Health, a startup focusing on mental health, is harnessing ambient intelligence to enhance therapy sessions.
Their AI voice assistant, Eleos, operates discreetly during sessions, providing valuable insights to mental health professionals.
9. Energy-efficient computing
Energy-efficient computing has become instrumental to addressing the growing concern over the environmental impact of data centres and AI workloads.
It’s designed to reduce energy consumption while maintaining or improving computational performance, particularly for compute-intensive applications like AI training and simulation.
Gartner notes that: "In 2024, the leading consideration for most IT organisations is their carbon footprint".
This has inspired Google to achieve a power usage effectiveness (PUE) rating of 1.10, significantly outperforming the industry average of 1.67.
Additionally, Microsoft has committed to powering its data centres with 100% renewable energy.
Furthermore, the US Department of Energy's National Energy Research Scientific Computing Center has demonstrated that GPU-accelerated clusters can achieve a 5x improvement in energy efficiency compared to CPU-only instances.
Gartner predicts that: "Starting in the late 2020s, several new compute technologies, such as optical, neuromorphic and novel accelerators, will emerge for special purpose tasks, which will use significantly less energy.
10. Hybrid computing
Hybrid Computing’s role in the tech industry is integrating diverse computational paradigms to tackle complex problems.
It combines various mechanisms to enhance performance, enabling technologies like AI to exceed current limitations.
Gartner highlights that this approach will create: "Highly efficient transformative innovation environments.”
Companies such as IBM and Microsoft are innovating in this space, offering hybrid solutions that unify public and private cloud resources.
Notably, IBM's hybrid cloud services allow businesses to leverage existing infrastructure while adopting advanced technologies, fostering innovation and efficiency across sectors.
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