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WarRin Protocol: A point-to-point anonymous privacy communication system

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Dr.WarRin

www.bitcointalk.org

Summary

This white paper provides an explanation of the WarRin protocol and related blockchain, point-to-point, network value, transport protocol, and encryption algorithms. The limited space will highlight the WRC allocation scheme and purpose of the WarRin Protocol Token, which is important for achieving the WRC’s stated objectives.  This white paper is for informational purposes only and is not a promise of final implementation details. Some details may change during the development and testing phases. 

1.  Introduction

Traditional centralized communication systems such as WeChat,WhatsApp, FacebookMessage,Google  Allo,Skype face a range of problems, including government surveillance, privacy breaches, and inadequate security, and the WarRin protocol proposes apoint-to-pointencrypted communications system that leveragesblockchain technology, combined  with Double Ratc het algorithms, pre-keys, and extended X3DH handshakes. The WarRin Protocol uses The Generalized Directional Acyclic Graph  and Curve25519,AES-256,  and HMAC-SHA256  as the pronamor, allowing each account to have its own unique account chain, providing unlimited instant communication between points and unlimited scalability, anonymity, integrity, consistency, and asynchronousness. 

2. WarRin Protocol communication system

2.1 Two types of communication

The Waring Protocol communication system divides chat channels into two types.

Image

Two modes of communication

  • General Chat mode: Using point-to-point encrypted communication, the service side has access to the key and can log in via multiple devices. 
  • Secret Chat mode: Encrypted communication using point-to-point can only be accessed through two specific devices. 

The design combines some of the advantages of raiBlocks    multi-chain construction with IOTA/Byteball  DAG, which we call the Waring protocol. With improvements, we have given the WarRin protocol greater throughput and faster processing power while ensuring the security of the ledger, and network nodes can store the ledger in less space and search their communications accounts quickly in the ledger.  When two users communicate, third parties contain content that neither manager can access. When a user is chatting in secret, the message contains multimedia that can be designated as a self-destruct message, and when the message is read by the user, the message is automatically destroyed within the specified time. Once the message expires, it disappears on the user’s device. 

2.2 How chat history is encrypted

2.2.1 MTProto  Transport Protocol

Image

MTProto transport protocol

The WarRin communication system draws on RaiBlocks’ multi-chain structure for point-to-point communication. Each account has its own chain that records the sending and receiving behavior of the account. For example, in Figure 1,   there are 7  accounts, each with 7 chain records of the account sending and receiving communications. On the graph, horizontal coordinates represent the timeline, and portrait coordinates represent the index of the account. 

Transferring information from one account to another requires two transactions: one to send a communication from the sender’s transfer content, and one to receive information to add that content to the content of the receiving account. Whether in a send-side account or a receiving account, a PoW proof of work with the previous communication content Hash is required to add new communications to the account.  In the account chain, poWwork proves to be an anti-spam communication tool that can be done in seconds. In a single account chain, the Hash field of the previous block is known to pre-generate the PoW required for subsequent blocks. Therefore, as long as the time between the two communications is greater than the time required to generate the PoW, the user’s transaction will be completed instantaneously. 

In such a design, only the receiving end of the communication is required for settlement. The receiving end places the received communication signature on the account chain, which is called accepted communication. Once accepted, the receiving end then broadcasts the communication to the ledger of the other nodes. However, there may be situations where the receiving end is not online or is subject to a DoS   attack, which prevents the receiving end from putting the receiving side communication on the account chain, which we call uncommoted transactions. The X symbol in Figure 1 represents an open transaction sent from Account 2 to Account 5.  

Image

Obviously, because only the sending and receiving sides of the communication are required to settle, such communication is very lightweight, all traffic can be transmitted in a UDP package and processed very quickly. At the same time, all communications in an account are kept in one chain, with great integrity, and the ledger can be trimmed to a minimum. Some nodes are not interested in spending resources to store the full communication history of the account;   They are only interested in the current communications for each account. When an account communicates, its accumulated information is encoded, and these nodes only need to keep track of the latest blocks so that historical data can be discarded while maintaining correctness. Such communication is only possible if the sending and receiving sides trust each other and are not the final settlement of the entire network consensus. There is a security risk in the absence of trust on the sending and receiving ends, or in situations where the receiving end is attacked by DoS without the sender’s knowledge. 

We have observed that although each account has a separate chain, the entire ledger can be expressed in the form of a WarRin object. As shown in Figure 2, this is represented by the WarRin astros trading on all accounts in Figure 1.  

Image

The first unit in the WarRin object is the Genesis unit, the next six cells represent the allocation of the initial token, and the other units correspond to the communication transactions between the account chains. We use the symbol a/b to represent a communication transaction, where the sender is a andthe recipient is b. The last  4/1 unit in Figure 2 is the last communication corresponding to Figure 1  – sending communication from account 4 to account 1. A transaction in Figure 1 is a confirmation of the latest block or the latest communication on the account chains of both parties to the communication, reflected in Figure 2 as a reference to the latest units of the account chains of both parties to the communication. Take unit 4/1, for example, where the latest  block on account 4 was the receiving block for 2/4  trades and the newest block on  account 1 was the send block for 1/5 trade. So on the DAG, the 4/1 cell refers to the 2/4 cell and the 1/5 cell. 

The WarRin protocol uses triangular shrapned storage technology to crack impossible triangles in the blockchain through the shrapghine technology, with extensive node engagement and decontalination  while maintaining high throughput and security:

  • Complete shraping of blockchain status;
  • Secure and low-cost cross-synth trading;
  • Completely random witness selection;
  • Flexible and efficient configuration

Complete decentralization ensures absolute security and scalability of the standard chain.

(Figures   above show seven Ling-shaped objects:2/1 one;3/2  one… )

2.2.2 Curve25519 Elliptic Curve Encryption Algorithm

Curve25519,  proposed by Daniel Bernstein, is anelliptic  curve algorithm for the exchange of The Montgomery Curve’s Difi Herman keys. 

Montgomery Curve Curve Mathematical Expression: 图片图片

Curve25519 Curve Mathematical Expression:图片

Curve25519  encryption     algorithms are    图片 used for standard private and public keys, and the private keys used for Curve25519  图片 encryption algorithms are typically defined as secret 图片 indices, corresponding to 图片public  keys, coordinate points, which are usually sufficient to perform ECDH (elliptical) and symmetrical  elliptic curve encryption algorithms. If one party wants to send information to the other party and the other party has the 图片 public 图片and private keys, perform the following 图片calculation:

Generate a one-time random secret 图片图片   图片 index, calculated using Montgomery, because the message is a symmetrical password encrypted using 256-bit  sharing, such as AES  using a 256-bit integer 图片 one-time public key,  as akey, and 256-bit integer is a 图片prefix to encrypted information. Once a party to   图片图片图片the public 图片key receives this message, it can start by calculating , that is ,图片the receiver recovers the shared secret and 图片is able to decrypt the rest of the information. 

3. Incentives

On the basis of the WarRin agreement, by adding the incentive layer, we can effectively avoid the whole network being attacked and eliminate spam. As long as honest nodes control most of the calculations, for an attacker, the network is robust because of its simplicity of structure, and nodes need little coordination to work at the same time. They do not need to be authenticated because information is not sent to a location. 

3.1 WRC Certificate

WRC issued a total of 2,500,000 pieces and continued to increment according to the WoRin gain function. 

3.1.1 WoRin Gain Function

Image
Image

3.1.2 WoRin gain function control table

The WoRin gain function is compared to the table
Number of layers /F Growth factor /I WRC circulation
[1,50] 0.002 334918.8057
[51,100] 0.002 780024.2108
[101,150] 0.004 1177129.617
[151,200] 0.006 1487860.923
[201,250] 0.01 1722637
[251,300] 0.016 1894309.216
[301,400] 0.03 2101623.789
[401,500] 0.06 2217555.464
[501,1000] 0.1 2450712.257
[1001,2000] 0.12 2557457.3

According 图片to the Gain function, the 图片larger the number of layers, 图片the greater the growth rate, the faster each layer is filled, and the 图片greater the circulation. 

3.2 Allocation

Image

WarRin protocol node distribution

3.2.1 Node allocation

Set the initial price  图片  图片图片to 0.02,the layer where the first node is located is , according to the equation of the iso-difference column, there is , so that the 图片node token is assigned to the piece, for the price of 图片 the layer where the node 图片is located, there is a 图片图片set. 

For example, the number of tiers in which the  98th  node is located is Tier 13,  and the price of Tier 13 is 0.214,the tokens assigned by Tier 98 are 图片

3.2.2 Total number of address assignments

Each node occupies one address, and the total number of 图片addresses is

4. The use

WRC is the native pass-through of the WarRin protocol, andWRC will assign to Genesis nodes according to the above allocation scheme, which together form the entire network, andWRC can be used in the following scenarios, including but not limited to:

Pay the network’s gas charges, i.e. for transferring money and invoking smart contracts;

System Staking tokens, used for node elections and token issues;

The capital is lent to the validator in exchange for the amount of the reward;

Voting rights for system proposals;

The means of payment for apps developed  on WoRin Services;

WoRin Storage is a means of payment on the decentralization storage;

WoRin DNS domain name and WoRin  WWW website means of payment;

WoRin Proxy agents hide the means of payment for body and IP addresses;

WoRin Proxy penetrates payment methods reviewed by local ISPs

……

5. Conclusions

Metcalfe’s Law states that thevalue of a network is equal to the square of the number of nodes within the network, and that the value of the network is directly related to the square of the number of connected users. That is 图片( the 图片value factor, the number of 图片users.)  That is, the greater the number of users on a network, the greater the value of the entire network and each computer within that network. The WarRin protocol also follows this law, and when the number of nodes reaches a certain level, the entire network becomes more robust. 

References

[1] K. Birman, Reliable Distributed Systems: Technologies, Web Services and

Applications, Springer, 2005.

[2] V. Buterin, Ethereum: A next-generation smart contract and de- centralized

application platform, https://github.com/ethereum/wiki/wiki/White-Paper,  2013.

[3] M. Ben-Or, B. Kelmer, T. Rabin, Asynchronous secure  computa-  tions  with

optimal resilience, in Proceedings of the thirteenth annual ACM symposium on

Principles of distributed computing, p. 183–192. ACM, 1994.

[4] M. Castro, B. Liskov, et al., Practical byzantine fault tolerance, Proceedings of the

Third Symposium on Operating Systems Design and Implementation (1999), p. 173–

186, available at http://pmg.csail.mit.edu/papers/osdi99.pdf.

[5] EOS. IO, EOS. IO technical white paper,

https://github.com/EOSIO/Documentation/blob/master/TechnicalWhitePaper.md,

2017.

[6] D. Goldschlag, M. Reed, P. Syverson, Onion Routing for  Anony-  mous  and

Private Internet Connections, Communications of the ACM, 42, num. 2 (1999),

http://www.onion-router.net/Publications/CACM-1999.pdf.

[7] L. Lamport, R. Shostak, M. Pease, The byzantine  generals  problem, ACM

Transactions on Programming Languages and Systems, 4/3 (1982), p. 382–401.

[8] S. Larimer, The history of BitShares,

https://docs.bitshares.org/bitshares/history.html, 2013.

[9] M. Luby, A. Shokrollahi, et al.,  RaptorQ  forward error correction scheme for

object delivery, IETF RFC 6330, https://tools.ietf.org/html/rfc6330,  2011.

[10] P. Maymounkov, D. Mazières,  Kademlia: A peer-to-peer  infor-  mation  system

based on the XOR metric, in IPTPS ’01 revised pa- pers from the First International

Workshop on Peer-to-Peer Systems, p. 53–65, available at

http://pdos.csail.mit.edu/~petar/papers/ maymounkov-kademlia-lncs.pdf, 2002.

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Brian Hagerty Brings Proven Service Industry Leadership and Operational Expertise to Next Chapter

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South Carolina, USA, 12th March 2026, ZEX PR WIRE — Brian Hagerty, an experienced service industry leader and former district manager, is announcing his availability for new professional opportunities following a career built on operational consistency, team development, and frontline execution.

Raised in Monroe Township, New Jersey, Hagerty graduated from Monroe Township High School before continuing his education at Coastal Carolina University. During his early years, he developed a strong foundation in discipline and teamwork through competitive soccer and track. He also cultivated a lifelong interest in music, playing both guitar and piano.

Hagerty built the core of his career in the restaurant industry, most notably at Waffle House, where he advanced to District Manager. In that capacity, he oversaw multiple locations, focusing on daily operations, associate training, staffing strategy, and performance standards.

“My focus has always been simple,” Hagerty said. “Clear standards, strong training, and consistent execution. When those three are in place, teams perform better, and customers notice.”

As District Manager, Hagerty emphasized structured onboarding, repeatable systems, and in-store leadership presence. He worked directly with shift leaders and associates to ensure operational consistency across locations. His approach centered on measurable performance indicators such as labor control, shift efficiency, service speed, and customer experience.

“I believe leadership happens on the floor, not behind a desk,” he said. “You have to see operations in real time to understand what needs to improve.”

Following his management tenure, Hagerty transitioned into a professional bartending role, returning to direct customer service while applying the same operational discipline he developed in management. Known for reliability and professionalism, he maintained a focus on preparation, organization, and guest experience.

“Bartending is still operational,” Hagerty explained. “You manage timing, communication, and quality all at once. The fundamentals don’t change.”

Throughout his career, Hagerty has concentrated on service industry fundamentals: associate training, accountability, workflow efficiency, and culture development. He believes that sustainable performance depends on preparation and clarity rather than reactive management.

“Training protects the business,” he said. “If you prepare people properly from day one, you reduce long-term problems.”

In addition to his professional experience, Hagerty supported St. Jude Children’s Research Hospital during his college years, reflecting an early commitment to community engagement. Outside of work, he spends time with his children and enjoys nature, the beach, and playing music.

As he evaluates his next professional chapter, Hagerty is seeking opportunities where operational leadership, team development, and service excellence are core priorities. His background spans both multi-unit management and frontline hospitality execution, giving him perspective across organizational levels.

“The service industry moves fast,” he said. “But the fundamentals are steady. Respect people. Maintain standards. Stay consistent.”

Hagerty remains open to leadership, training, and operations-focused roles within hospitality and related service environments.

About Brian Hagerty
Brian Hagerty is a New Jersey–raised service industry professional with experience in multi-unit restaurant management and frontline hospitality operations. A graduate of Coastal Carolina University, he has built his career around team development, operational systems, and consistent service standards. His professional focus includes associate training, performance management, and maintaining structured, high-functioning environments.

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A Mathematician’s Perspective: The MatrixFlow Model Behind Feather Exchange

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In modern financial markets, mathematics has long served as the invisible framework behind stability, efficiency, and long-term growth. From options pricing to high-frequency trading algorithms, many of the world’s most successful financial systems are built upon carefully structured mathematical models. Feather Exchange is applying this same philosophy to cryptocurrency trading through a system it calls MatrixFlow.

For mathematicians analyzing financial systems, the most intriguing aspect of MatrixFlow is its attempt to bring predictability into a market historically defined by volatility. Rather than leaving price movements entirely to unpredictable swings in speculation, Feather Exchange introduces a structured framework where market progression follows clearly defined mathematical boundaries.

The foundation of the system begins with a guaranteed baseline known as the Minimum Daily Price Rise. Each trading day establishes a structural upward movement expressed mathematically as:

P = Pₜ₋ + 0.02

where P represents the current trading day’s base price and Pₜ₋ represents the previous day’s closing price. This formula creates a minimum progression of 0.02 USDT per day, ensuring that the market maintains a consistent forward trajectory over time.

Once this baseline movement is achieved, additional trading activity can push the price higher within a controlled range. The MatrixFlow system defines a daily expansion boundary using the formula:

Pmax = (Pₜ₋ + 0.02) × 1.01

This establishes a daily ceiling where the total market expansion cannot exceed one percent beyond the minimum daily progression. From a mathematical standpoint, this creates a bounded growth corridor that allows healthy price discovery while preventing destabilizing spikes.

Beyond price progression, Feather Exchange introduces another mathematically structured mechanism that analysts find particularly innovative: the Feather Escrow Pool. Within this system, participants are able to acquire FTR tokens at a 50 percent discount relative to the previous day’s highest traded price.

This relationship can be expressed simply as:

Escrow Purchase Price = 0.5 × Hₜ₋

where Hₜ₋ represents the highest traded market price recorded on the previous trading day.

From a financial engineering perspective, this creates a fascinating market dynamic. Traders are given an opportunity to access discounted tokens tied directly to the historical market price, while the structured release of escrow tokens ensures that supply enters circulation in a controlled and transparent manner.

When combined with the price progression framework, the system forms a feedback structure where trading activity, market price, and token distribution reinforce one another. The long-term price trajectory of the system can be approximated by the progression:

P P + (0.02 × n)

where n represents the number of trading days. While the actual market price may fluctuate within its daily corridor, the structural baseline ensures continued forward movement.

For mathematicians studying market design, the significance of MatrixFlow lies in its attempt to transform cryptocurrency trading from a purely speculative environment into one governed by defined economic rules. Markets that operate entirely without structure often experience violent boom-and-bust cycles. By contrast, systems built around predictable mathematical relationships tend to encourage longer-term participation and greater ecosystem stability.

Feather Exchange appears to be applying this philosophy directly into its trading architecture. Instead of relying solely on market sentiment, the platform introduces formulas that guide how price progression, supply release, and discounted participation interact within the ecosystem.

As the exchange prepares for its upcoming 2026 Shareholder Pre-Launch Event, analysts are beginning to examine whether structured systems like MatrixFlow could represent an important step forward in digital asset exchange design.

For mathematicians observing the evolution of financial markets, the concept behind MatrixFlow raises an important possibility: that the next generation of crypto exchanges may not be defined by speculation alone, but by carefully engineered economic structures where mathematics becomes the foundation of sustainable trading.

 

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Ardennis Group: Revolutionizing Intelligent Digital Finance and Global Capital Management

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In the rapidly evolving landscape of global finance, Ardennis Group (fully named Ardennis Global Finance Group Ltd) is leading a paradigm shift towards intelligent digital finance, driven by its forward-thinking vision and exceptional technological prowess. Headquartered in New York and managing assets under management (AUM) of $185 billion, this financial powerhouse is dedicated to seamlessly integrating the profound heritage of traditional finance with the innovative dynamism of digital assets, thereby constructing a cross-cycle, cross-regional intelligent capital architecture for investors worldwide .

Core Business Pillars: Driving Wealth Growth

Ardennis Group’s success is rooted in its unique intelligent capital service system, which combines cutting-edge technology with deep market insights to offer clients comprehensive wealth management solutions.

AI-Driven Quantitative Investment: The Power of the AlphaNet™ System

Moving beyond traditional empirical judgment, Ardennis Group leverages its proprietary AlphaNet™ system and AI Quantitative Brain to enable intelligent investment decision-making. This system monitors global markets 24/7, employing machine learning-driven investment research to accurately capture structural opportunities in both crypto assets and traditional markets. It seamlessly connects macro-trend analysis with micro-transaction execution, making investment more scientific and efficient.

On-Chain Capital Engine and RWA Tokenization: Bridging Traditional and Future Finance

Ardennis Group’s proprietary “On-Chain Capital Engine” stands as a significant achievement in digital finance innovation. This engine provides compliant tokenization services for Real-World Assets (RWA), bringing traditional assets such as stocks, bonds, and energy onto the blockchain. Combined with a strategic focus on Web3 infrastructure, this initiative helps clients capitalize on the dividends of the digital economy within a compliant framework, achieving a deep fusion of traditional and digital assets.

Global Cross-Border Asset Allocation: Transcending Geographical Boundaries

By integrating resources from New York, London, and emerging markets, Ardennis Group has built a cross-regional, multi-asset class, all-weather collaborative system. Through sophisticated tax planning and by capitalizing on market depth differentials, the firm designs optimized cross-border investment and financing structures for its clients. This effectively breaks down geographical barriers, enabling the free flow and efficient appreciation of assets on a global scale.

Premier Practical Investment Research Education: The ASGM Global Market Academy

Ardennis Group operates on the principle that “Cognitive structure determines capital structure.” Through the ASGM Global Market Academy, personally led by Chief Strategy Officer Marcus, the firm offers comprehensive practical training covering theory, strategy, and risk control. By selecting partners through the “QuantWise Profit Program,” Ardennis Group is committed to cultivating a new generation of capital operators with a global vision, fostering a dual growth in both cognition and wealth .

Technological Advantages: Six Intelligent Engines Driving Capital Evolution

Ardennis Group’s technological strength is a cornerstone of its competitive edge, with six intelligent engines forming a robust foundation for its financial technology infrastructure. These include the Cross-Domain Quant Grid, which connects New York, London, and emerging markets to build an all-weather capital collaboration network by leveraging time zone and regulatory differences. The Compliance Tech Chain deploys RegTech DID systems to ensure on-chain assets are auditable and transparent, guaranteeing institutional-grade fund security. Intelligent Easy Ops provides visual monitoring tools and comprehensive alert mechanisms, supporting cross-platform compilation and rapid cloud deployment to significantly reduce maintenance costs. For broad accessibility, Low-Cost Access offers standard API interfaces and multi-language SDKs, abstracting business scenario adaptation layers to facilitate low-threshold, rapid access for developers and enterprises. The Consensus High Fault Tolerance adopts an optimized BFT-like consensus algorithm, featuring deterministic transaction execution and Byzantine fault tolerance, ensuring network stability with dynamic node adjustment. Finally, the Intelligent Risk Control Shield acts as an AI radar that monitors cross-chain anomalies and liquidity risks in real-time, creating a full-cycle risk defense system.

Vision and Mission of Ardennis Group

Ardennis Group’s mission is to “Let capital and intelligence deeply fuse, let finance evolve with the times.” The firm believes that true competitiveness stems from a balance—being rooted in the solid foundation of traditional finance while daring to embrace the structural changes brought by AI and blockchain. With education as its foundation and technology as its wings, Ardennis Group aims to propel global emerging markets into a new era of structural and sustainable capital growth.

Conclusion

Ardennis Group is more than just a financial company; it is a pioneer in the age of intelligent digital finance. Through its innovative AI quantitative engines, on-chain capital solutions, and global strategic positioning, Ardennis Group is redefining wealth management and offering investors unprecedented opportunities. To choose Ardennis Group is to align with intelligence and to grasp the pulse of future finance.

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Organization: Ardennis Global Finance Group Ltd

Contact Person: Ada

Website: https://www.ardennis.us

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Country:United States

Release id:42553

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