Press Release
Increasing risk of privacy leakage in the post-pandemic era,PlatON: Privacy Computing is the solution
After the outbreak of COVID-19, the risk of privacy leakage is increasing
At the beginning of 2020, the sudden outbreak of the COVID-19 pandemic brought a huge impact on everyone’s work and life. On the one hand, the working-from-home scenario has pushed the development of digital office. Many companies have had to transfer the materials and assets from offline to online within a short time. On the other hand, to meet the demands of the public health and pandemic control, personal health data is collected and processed digitally to be used in areas like pandemic prevention and control, health services, and tracing inquiries. For instance, travel health codes have been used in countries like China and Spain for COVID-tracing, and many countries around the world have provided the online services of test appointment and test results inquiries. The outbreak of the COVID-19 pandemic has inspired people to rethink the construction and development of infrastructures. The large scale of data transmission and exchange during the pandemic period requires the support from new technologies. In the global context, in order to adapt to the ever-increasing demand for data exchange and promote the digitalization process, many countries have prioritized and invested on cutting-edge technologies like 5G, Big Data, Artificial Intelligence, Cloud Computing, etc.
Considering the abnormal conditions of the pandemic, it can be understood and accepted to a certain extent if the data is used by relevant agencies and organizations. In spite of this, after the pandemic, when the life is back to normal, can the data privacy be properly protected in the daily data collection, storage and computing? Can the basic rights of users be properly protected? With the development of the new technologies, when a large amount of data is collected, transmitted, analyzed and processed from the end devices through Internet of Things (IoT) and 5G technologies, the risk of data breaching will increase accordingly. In this case, how to get effective protection on the data privacy?
Privacy computing paves the road
Fingerprint recognition, face recognition, voice recognition and other technologies collect user information to provide users with convenient and efficient services, while also putting these basic personal data information at risk of being leaked and abused. With the successive promulgation and implementation of the European Union’s GDPR and the California’s CCPA Act, it is necessary for relevant parties to reflect their attitudes and operations towards data resources. In this context, Privacy Computing technology has gradually caught researchers’ attention.
Privacy Computing refers to a type of information security technology based on modern cryptography, which is represented by technologies like Secure Multi-party Computing (MPC), Homomorphic Encryption, Zero-knowledge Proof, Differential Privacy, and Trusted Execution Environment (TEE), etc. Privacy Computing can realize the data computing and analysis while ensuring the security and privacy of the source data.
So far, three major technologies are available to achieve Privacy Computing: Cryptography, Trusted Execution Environment, and Federated Learning. Among them, the privacy protection scheme based on cryptography is a type of computing method that protects private information throughout the entire life cycle, and supports operations such as analysis and computing without the data itself leaking to a third party. Its core concept is to form a set of symbolic, formulaic and quantitative evaluation criteria for Privacy Computing theory when processing information flow. [1] Compared with the problems brought by the traditional end-to-end encryption methods on the key management and performance impact, Privacy Computing can fundamentally protect data from the entire life cycle. In large-scale public infrastructure, the introduction and deployment of Privacy Computing support systematic data privacy protection.
At present, in addition to the in-depth research on Privacy Computing in the academia, the realistic application scenarios and large-scale commercial solutions of Privacy Computing are also being actively explored by the industry. Take PlatON Network as an example. PlatON has been developing and researching the field of Privacy Computing since 2016. The AI network of Privacy Computing provided by PlatON is a solution for privacy contract implementation based on cryptographic algorithms such as Secure Multi-party Computing (MPC). In general, the Privacy Computing algorithm is released through the contract. The data provider and the computing nodes that require privacy protection need to cooperate to execute the MPC protocol, so that to realize the collaborative data computing. In this case, data privacy is protected at the same time when data is shared, allowing users to obtain the economic benefits of data reuse while maintaining data ownership.
After the era of the pandemic, Artificial Intelligence (AI) also has caught in privacy issues during the process of data reuse. The development of AI technology turns data as a special asset, and its scale can affect both the model accuracy and the reliability of the services, which in turn affects business costs and risks. From the perspective of improving the accuracy of the AI model, the more data collected, the better the model performs, but the collection of large amounts of data also brings higher risks of privacy exposure. If AI is planned be applied in large-scale commercial scenarios, privacy is a crucial issue that cannot be bypassed.
Privacy Computing technology is born to be suitable for solving the privacy flaws of AI technology. A large amount of data is computed in an encrypted way, which not only solves the privacy problem in the traditional AI model, but also ensures the efficient data management and utilization. Considering the user’s personal health IoT data involved in this pandemic as an example, PlatON’s “DataBank” product can effectively protect the core data and provide lifecycle data-management services. Working as a data asset value-trading platform, PlatON’s “DataBank” product can guarantee the privacy and security of personal health data during the verification and transmission process based on Privacy Computing technology. With the AI technology introduced in PlatON’s “DataBank” product, multi-source and multi-mode local joint verification can be efficiently achieved. The results got from Privacy Computing can provide accurate delivery services among organizations and agencies, which not only addresses the issue of mutual recognition between different regions, but also supports the sharing of data marketing channels among various agents. In this case, it can jointly improve the accuracy of health data verification, and help industries realize and establish public health economic data services under the rapid development of 5G, Cloud Computing and other technologies for digitization. As the pioneer in privacy protection area, PLATON has researched Privacy Computing technologies for many years. The Privacy Computing network infrastructure developed by PLATON can guarantee the secure and free data flow across every corner of the world. All types of Applications, relying on the data exchange and data computing as the core capability, can enjoy the convenience brought by global data collaboration and computing power sharing on PlatON.
References
[1] Li, F., H. Li, Ben Niu and J. Chen. “Privacy Computing: Concept, Computing Framework and Future Development Trends.” IACR Cryptol. ePrint Arch. 2018 (2018): 1145.
[2] Sun Lilin: How to protect personal privacy to the utmost extent in pandemic prevention and tracing control (in Chinese), https://mp.weixin.qq.com/s/gwiZyfdTC6tEk83VfpnBtQ
[3] Scientists have something to say series: From 5G rich news and health code, talk about whether new infrastructure and data privacy may not be available at the same time (in Chinese), https://mp.weixin.qq.com/s/0UVaXxOCTwVbQ8dyDxpbAQ
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Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.
Press Release
Rat Corpse Discovered at the Resident’s Property by Abal Environmental Services Ltd Operative
Errol Baptiste the Northolt resident being visited by Abal Environmental Services Ltd Operative on February 19, 2025, also found evidence of rat corpse decomposing inside the property for 32 months since June 15, 2022, which explained the rancid odour. Rats has been accessing via hole in front way of the resident’s property and then accessing loft space via pipework in proximinty.
Access holes into the property have been blocked up with wire silicon solution and wire after more than 32 months which was reported to Ealing Council by Errol Baptiste the resident and his representative on June 15, 2022, on the rodent infestation. Ealing Council inadvertently failed by ignoring Mr Baptiste’s complaint on the rodent’s issue which was first reported to the Council confirmed evidence from Abel Environmental Services Ltd discovered a corpse of the dead rat on February 19, 2025.
Ealing Council ignored Errol Baptiste’s complaints for 32 months since June 15, 2022, about the rat infestation and he was abused by the Council which they never considered Mr Baptiste’s vulnerabilities on the comorbid and complex ill-health related to the resident’s disabilities breached the Data Protection Act 2018, Section 45, Section 94, and GDPR 2018, Article 15. Ealing Council inadvertently failed to do anything on the Rat Infestation until February 19, 2025, after 32 months delay never took Errol Baptiste’s complaints seriously and were very dismissive that was reported on June 15, 2022, breached the Prevention of Damage by Pests Act 1949.
https://www.ealingtoday.co.uk>page=ldrshousing016
https://harrowonline.org/2025/03/09/northolt-resident-says-council-don’t…
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Press Release
Choose YESMiner and move towards a future of daily stable income
YESMiner, a highly-watched blockchain mining platform, provides users with a low-cost entry point to Bitcoin mining. This move aims to lower the threshold for traditional mining and enable more users to participate in the digital currency ecosystem and benefit from it.
It is reported that one of YESMiner’s core services is cloud mining solutions. As a model that does not require users to directly purchase and maintain mining equipment, cloud mining has been favored by more and more investors in recent years. YESMiner predicts that by 2025, cloud mining will usher in rapid development and its market potential will be further released globally. The company said that it will provide users with a more efficient and sustainable mining experience through technical optimization and cost control.
In addition, YESMiner’s positioning in the blockchain economy has also attracted much attention. As a platform dedicated to promoting the popularization of blockchain technology, YESMiner is not only actively involved in the field of Bitcoin mining, but also exploring how to provide support for a wider range of blockchain application scenarios. This diversified development strategy helps to consolidate its competitive advantage in the industry.
It is worth mentioning that the YESMiner platform is strictly regulated by the UK Financial Conduct Authority (FCA). This compliance measure provides users with greater security and trust, and also reflects YESMiner’s commitment to industry standards and transparent operations.
Earn Profits with YESMiner Cloud Mining
1: Register now to get a $100 bonus ($1 for daily check-ins).
2: Choose a contract: After successfully registering, the next step is to choose a mining contract that suits your goals and budget. YESMiner offers a variety of contracts to meet different needs, whether you are a beginner or an experienced miner.
Choose the contract that suits your investment strategy:
3: Start making a profit: After selecting and activating a mining contract, you can sit back and let the system do the work for you. YESMiner’s advanced technology ensures that your mining operations run efficiently, thereby maximizing your potential earnings.
In the face of rapid changes in blockchain technology and the digital currency market, YESMiner said it will continue to uphold the concept of innovation and responsibility, provide users with high-quality services, and promote the healthy development of the entire industry.
About YESMiner:
YESMiner is an innovative company focusing on Bitcoin mining and blockchain technology applications, and is committed to providing users with efficient, secure, and low-cost digital asset management services. Through technological innovation and compliant operations, YESMiner has become one of the most trusted platforms in the industry.
Company name: YESMiner
Company website: https://yesminer.com/
Company email: cooperate@yes-miner.com
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Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.
Press Release
Vtrading Releases Trading Ecosystem Whitepaper: Redefining the Cognitive Revolution of Wealth in the Digital Era
Amid a global cryptocurrency market with a daily trading volume exceeding $50 billion, 82% of retail investors continue to struggle with persistent losses. This structural contradiction has become the key entry point for the next-generation trading platform Vtrading to disrupt the status quo. Recently, Vtrading officially released its Trading Ecosystem Whitepaper, unveiling the world’s first “Cognition-Decision-Execution” tripartite trading operating system. The platform aims to redefine wealth creation paradigms in the digital age through technological innovation.
I. Scientific Revolution in Trading Paradigms: From Empiricism to Cognitive Industrialization
Traditional trading markets suffer from systemic cognitive gaps. CoinMarketCap data reveals that 73% of users mechanically apply RSI indicators without understanding their mathematical essence, while 97% of investors fail to distinguish between market beta returns and personal alpha returns. This cognitive divide directly triggers behavioral biases: during the 2023 Pepe coin surge, 63% of retail buy orders clustered within 1 hour of price peaks, only 11% set stop-loss instructions, and average holding periods lasted just 27 minutes—far below institutional averages of 83 hours.
Vtrading champions the core philosophy that “cognition is capital,” breaking down trading competence into a quantifiable, trainable industrial system. Its AI architecture integrates three engines:
– Intelligent Strategy Generator: Combines natural language interaction and genetic algorithms, enabling users to generate code frameworks via inputs like “BTC intraday volatility strategy, max drawdown 3%.”
– Decision Enhancement Network: Deploys a millisecond-response Trading Sentinel system, monitoring 100+ candlestick patterns and 60+ technical indicators across timeframes.
– Cognitive Evolution Workshop: Dynamically integrates 1,200+ trading concepts via knowledge graphs, with a 21-day cognitive restructuring program that boosted trainees’ average returns by 220%.
Early results are striking: users leveraging smart alerts saw trade opportunity capture rates rise by 73%, holding periods extend from 6.2 to 38.7 hours, and risk-adjusted returns reverse from -12.3% to +9.8%.
II. Building an Assembly Line for Cognitive Evolution
Vtrading’s product matrix targets three pain points in traditional trading ecosystems:
1.Cognitive Infrastructure Layer (VTrading Academy)
– Dynamic Knowledge Graph: Links candlestick patterns, technical indicators, and on-chain data, unlocking tool access as users master concepts like RSI.
– Live Simulation Sandbox: Tests strategies against historical data and stress models.
– Competency Assessment Model: Generates a Cognitive Index (formula: 0.4test scores + 0.6strategy returns).
2.Decision Enhancement Layer (Intelligent Trading Sentinel)
– Multi-Dimensional Signal Engine: Monitors 1-minute signals and 4-hour trends, triggering app/SMS alerts for critical events.
– Scenario-Based Strategy Templates: Prebuilt setups like “Meme Coin Sniper (500% social media spike + on-chain whale activity).”
– AI Alert Network: Detects anomalous trades with 95% interception accuracy.
3.Value Closure Layer (AI Strategy Workshop)
– Natural Language Programming: Converts strategy descriptions into executable code.
– Personalized Parameter Tuning: Dynamically optimizes indicators (e.g., adjusting RSI periods from 12 to 9 days for aggressive users).
– Strategy Monetization: Top strategies earn 39.7% average annual returns in copy-trading ecosystems.
III. World-Class Security Architecture
Vtrading safeguards both assets and cognition:
– Asset Security Triad:
MPC-TSS 2.0 protocol uses (3,5) threshold signatures, with private key shards stored across 5 geonodes (cracking cost >$1 billion).
Real-time risk control (e.g., AnomalyDetector class in code) blocks suspicious transactions with <0.3% false positives.
Daily Merkle Tree reserves with zk-SNARKs verification.
– Cognitive Security:
GAN-simulated 2008/2018-level crashes eliminate 89% of overfitted strategies.
Credibility models filter 92% of fake news across 50+ sources.
Bias correction systems halt “double-down” behaviors via risk circuit-breakers.
IV. Pioneering Web3 Collaboration Networks
Vtrading’s three-dimensional ecosystem includes:
– Developer Ecosystem: Open SDKs (backtesting frameworks), Data Lake APIs (10TB+ on-chain data), and Oracle networks (30+ data feeds), rewarding contributors via token incentives.
– Institutional Collaboration: Federated learning for private data sharing, cross-chain atomic settlement protocols (with MIT) reducing清算 latency to milliseconds.
– Community Governance: Token holders vote on 70% of product updates. An on-chain reputation system quantifies trading skills and contributions as NFT credentials, granting access to metaverse terminals.
V. Vision: Defining a New Trading Civilization
By 2030, Vtrading aims to:
– Establish global competency standards (L1-L4 certification).
– Launch next-gen OS integrating AI, cross-chain protocols, and metaverse terminals.
– Reduce irrational trading losses by $21 billion annually and nurture 380,000 digital nomad developers.
Early network effects are evident: users completing the 21-day program reduced trading frequency by 54% but improved risk-reward ratios by 220%. A viral referral model (R(inviter)=Σ(1/2^(k-1)*BaseReward) and 120,000+ NFT credentials underscore rapid adoption.
In this cognitive revolution, Vtrading poses a fundamental question: As trading competence becomes a core digital-age literacy, do we need a holistic upgrade—from tools to mental models? Let’s find out at Vtrading.com
Disclaimer: The information provided in this press release is not a solicitation for investment, nor is it intended as investment advice, financial advice, or trading advice. It is strongly recommended you practice due diligence, including consultation with a professional financial advisor, before investing in or trading cryptocurrency and securities.
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Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.
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