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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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FinancialDataExtraction.com Launches AI Tool for Financial Document Processing

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FinancialDataExtraction.com has launched a new AI-powered platform designed to help businesses extract structured data from financial documents. The software is intended to support accounting and finance teams that need a more efficient way to move information from records into spreadsheets and operational systems.

New Jersey, United States, 31st Mar 2026 – FinancialDataExtraction.com announced the launch of its new document extraction platform, a software solution developed to help businesses capture and structure data from financial records using AI.

Financial documents are central to how organizations manage reporting, reconciliation, compliance, and daily decision-making. Yet much of that information still arrives in formats that are difficult to work with directly. Invoices, bank statements, tax forms, financial reports, and related records may already exist in digital form, but the data inside them often still needs to be reviewed, organized, and entered manually before it can be used in a meaningful way. For finance teams working under time pressure, that extra layer of handling can become a persistent operational burden.

FinancialDataExtraction.com was developed to address that challenge by focusing specifically on the structure and content of financial records. According to the company, the platform is designed to interpret key financial information from a wide range of document formats and convert it into structured output suitable for spreadsheets, accounting systems, and internal workflows. Rather than relying on fixed templates, the software is intended to adapt to variation across layouts and sources, which is often where manual review work begins to accumulate.

The company says the platform is especially relevant for businesses that need to process financial information across multiple document types without creating separate extraction logic for each one. In practice, the difficulty is often not simply reading a document, but preserving the context of values, dates, tables, and line-item relationships so they can be used accurately downstream. FinancialDataExtraction.com is positioning its software around that need, with an emphasis on helping organizations make financial records more usable once they enter the business.

The launch reflects broader efforts across finance and accounting teams to reduce repetitive document work while improving consistency in how information is captured. As more organizations seek to modernize back-office processes, the ability to extract structured data from financial records is becoming increasingly important not only for efficiency, but also for supporting faster review cycles and more reliable operational reporting.

FinancialDataExtraction.com also states that the platform is SOC 2 Type 2 certified and HIPAA compliant, does not use customer files to train AI models, protects stored data with AES-256 encryption, secures data in transit with TLS 1.2 or higher, and deletes processed documents within 24 hours. According to the company, these controls are intended to support organizations that require stronger standards around privacy, security, and handling when processing sensitive financial information.

One user described the operational effect by saying that a monthly workload involving financial documents from hundreds of vendors, which previously took several days of accounting time, can now be processed largely through automated extraction in under an hour. The company says this reflects growing demand for tools that can reduce manual effort while improving the usability of document-based financial data.

About FinancialDataExtraction.com

https://www.financialdataextraction.com is a software platform that helps businesses extract structured data from financial documents using AI. The platform is designed to make information from invoices, statements, reports, tax forms, and other financial records easier to use in spreadsheets, accounting systems, and operational workflows.

Media Contact

Organization: FinancialDataExtraction.com

Contact Person: Owen Parker

Website: https://www.financialdataextraction.com/

Email: Send Email

State: New Jersey

Country:United States

Release id:43399

The post FinancialDataExtraction.com Launches AI Tool for Financial Document Processing appeared first on King Newswire. This content is provided by a third-party source.. King Newswire makes no warranties or representations in connection with it. King Newswire is a press release distribution agency and does not endorse or verify the claims made in this release. If you have any complaints or copyright concerns related to this article, please contact the company listed in the ‘Media Contact’ section

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DocumentDataExtraction.com Launches New AI Document Data Extraction Software

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DocumentDataExtraction.com has launched a new software platform that helps businesses convert document-based information into structured spreadsheet data using AI. The software is intended to reduce the manual effort often required to move data from everyday business records into usable operational formats.

Michigan, United States, 31st Mar 2026 – DocumentDataExtraction.com has announced the launch of its new document extraction platform, a software solution built to help businesses convert document-based information into structured digital data through AI.

For many companies, important operational data still arrives in formats that are easy to read but difficult to use. Documents such as invoices, receipts, contracts, purchase orders, and forms often contain information that needs to be moved into spreadsheets, accounting systems, or internal workflows before it becomes actionable. Although the files themselves may already be digital, the work of pulling out the right information often remains manual.

DocumentDataExtraction.com was developed to address that gap. According to the company, the platform is designed to read business documents in their existing format and extract relevant information into structured output without requiring document-specific templates or custom setup. The software is intended to support teams that deal with a wide range of document layouts and need a more consistent way to make those records usable across reporting and operational processes.

The company says the platform reflects a broader shift in how businesses are approaching document work. In the past, the focus was often on digitizing records or storing them more efficiently. Today, the challenge is increasingly about making the contents of those records available in a form that can move into systems, support analysis, and reduce administrative overhead. In that context, document extraction is becoming part of a larger effort to improve how information moves through the organization.

DocumentDataExtraction.com is positioned for businesses that want to reduce repetitive handling without changing the way documents are received in the first place. Rather than asking teams to standardize every format before automation becomes possible, the platform is designed to work across variation in supplier documents, internal forms, and other incoming records. The company says this is especially relevant for organizations processing high volumes of files across departments where even small differences in layout can create delays and added review work.

The company also states that the platform is SOC 2 Type 2 certified and HIPAA compliant, uses AES-256 encryption for data at rest, protects data in transit with TLS 1.2 or higher, does not use customer documents to train AI models, and deletes files within 24 hours. According to the company, these controls are intended to support organizations that require stronger standards around privacy, security, and document handling.

One user described the operational effect by saying that document extraction work once handled by multiple full-time staff can now run automatically across a wide range of formats. The company says this reflects growing demand for tools that can help businesses move away from manual data entry and toward more scalable document workflows.

About DocumentDataExtraction.com

https://www.documentdataextraction.com is a software platform that helps businesses extract structured data from documents using AI. The platform is designed to convert information from business records into usable spreadsheet and system-ready data with less manual effort.

Media Contact

Organization: DocumentDataExtraction.com

Contact Person: Harper Foster

Website: https://www.documentdataextraction.com/

Email: Send Email

State: Michigan

Country:United States

Release id:43397

The post DocumentDataExtraction.com Launches New AI Document Data Extraction Software appeared first on King Newswire. This content is provided by a third-party source.. King Newswire makes no warranties or representations in connection with it. King Newswire is a press release distribution agency and does not endorse or verify the claims made in this release. If you have any complaints or copyright concerns related to this article, please contact the company listed in the ‘Media Contact’ section

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Renee Servello Launches New Author Website via Explora Books

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Explora Books has officially launched a new author website for Reneé Servello, now live at booksbyreneeservello.com—an online space designed to bring her stories together in one place while inviting young readers and families to engage more deeply with her work. Framed by the idea that stories are “where young minds grow,” the site reflects Servello’s belief in storytelling as a way to spark curiosity, imagination, and connection.

Vancouver, British Columbia, Canada, 31st Mar 2026 – More than a simple author page, the website functions as a lively hub. Visitors can explore her growing catalog of books, learn more about the inspirations behind her characters, and access a range of interactive features. A reading club invites families to stay connected through updates and downloadable activities, while videos, interviews, and book fair highlights offer a closer look at Servello’s journey and the life of her stories beyond the page.

At the heart of the site is a collection of titles that share a consistent warmth and sense of play. In Baby Barney Needs Hugs & Food!, Servello captures the everyday comedy of a fast-growing Labradoodle whose size never quite matches his self-awareness. Petey the Pug Escapes for 24 Hours offers a more adventurous turn, following a curious pup whose brief taste of independence brings both excitement and gentle lessons. In Freckles Finds a Forever Home, the focus shifts to belonging and care, tracing a rabbit’s path toward finding the right family. Each story, while distinct, carries the same attentiveness to small moments that resonate with both children and adults.

Servello’s storytelling often draws from familiar routines—walks, playtime, unexpected mishaps—and reshapes them into scenes that feel both lighthearted and sincere. Whether it’s a dog who outgrows his favorite spaces, one who wanders a little too far from home, or one waiting to be chosen, her characters reflect experiences that young readers can easily recognize, while offering quiet reminders about patience, affection, and responsibility.

The newly launched website brings these threads together in a way that extends beyond the books themselves. By combining story backgrounds, interactive elements, and ongoing updates, it creates a space where families can return not just to revisit favorite characters, but to discover new ones and engage with the stories in different ways.

As the site continues to grow, it stands as a natural extension of Servello’s work—welcoming, thoughtful, and centered on the simple idea that stories can stay with readers long after the final page.

Servello’s books are available now through major retailers.

About Explora Books 

Explora Books is a book marketing firm located in the heart of Vancouver, British Columbia, Canada. The company specializes in self-publishing and marketing, taking pride in its exhaustive research and creative strategies that provide wider avenues for aspiring authors to gain recognition for their works. Explora Books aims to guide authors through the complexities of self-publishing, offering convenient solutions to navigate this process. The firm fosters and redefines creativity and innovation, setting new industry standards. Explora Books is dedicated to empowering authors globally.

Media Contact

Organization: Explora Books Ltd

Contact Person: Simon Pratt

Website: https://explorabooks.com/home

Email: Send Email

Contact Number: +16043306795

Address:Jameson Offices, 838 W Hastings St w, Vancouver, BC V6C 0A6, Canada

City: Vancouver

State: British Columbia

Country:Canada

Release id:43155

The post Renee Servello Launches New Author Website via Explora Books appeared first on King Newswire. This content is provided by a third-party source.. King Newswire makes no warranties or representations in connection with it. King Newswire is a press release distribution agency and does not endorse or verify the claims made in this release. If you have any complaints or copyright concerns related to this article, please contact the company listed in the ‘Media Contact’ section

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