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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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Press Release

DATA Network joins Sui and Walrus to scale the supply chain for AI training data

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Palo Alto, United States, October 12th, 2026, Chainwire

Trace, the onchain registry for rights-cleared AI training data with more than 250 million verifiable receipts, brings its training data to Sui and Walrus to power the next generation of AI models.

Sui Foundation and The DATA Foundation today announced that the DATA Network and its Trace registry are joining the Sui stack, bringing a live supply of rights-cleared AI training data onto the infrastructure Sui has built for AI workloads. Walrus, the data platform with integrity proofs anchored on Sui, becomes the default storage layer for applications operated by DATA Foundation. Separately, the DATA Network will be upgraded to run as a protocol natively on Sui.

The upgrade gives AI labs a single place to source real-world training data they are allowed to use, with its provenance recorded by Trace and the original file stored and access-controlled on Walrus.

The data AI needs next

The next generation of AI models is constrained by access to real-world data. The open internet has been scraped, and the data that comes next must be sourced from people, with consent and with provenance that regulators and legal teams will accept. The EU AI Act and ongoing litigation over training data have made provenance a procurement requirement for labs.

The data those models need sits with people rather than on the open web: a nurse describing a patient’s night in her own words, a dashcam recording of a rainy commute in Jakarta, a factory technician’s hands as they diagnose a fault, or a customer call conducted in Bengali. It is personal and often regulated, and it belongs to the people who generated it.

Trace, launched by DATA Foundation in June as an onchain registry for AI training data, was built for exactly this kind of data. It records the origin of each contribution and the rights attached to it, and settles payment to the person who contributed it. It has registered more than 250 million contributions since launch and now processes over 3M receipts per day on average. Applications writing to Trace include Kled, the largest opt-in human data marketplace with over 1.5 billion records being onboarded, along with Numo and Oto, applications that already license data to frontier AI labs and robotics companies.

Why Sui and Walrus

Sui represents every asset as a programmable object, allowing datasets and their licenses to be managed onchain like tokens. Independent transactions execute in parallel and settle in under a second, making the network capable of handling millions of daily registrations. Walrus extends this capability to large files: it stores massive AI datasets efficiently and ensures data is only readable by licensed buyers. No other network offers storage, access control, and ownership tracking built natively into a single ecosystem, together with verifiable compute.

Trace now adds a flagship supply of rights-cleared data, with existing demand from the AI labs that license it today. The result of the integration will be stronger provenance guarantees and tamper evidence. Today a Trace record proves that a file was registered and when, and with Walrus, Trace will be able to hold an encrypted, immutable copy of the contributed file itself as a reference guarantee. The hash of the record can be regenerated from the data itself rather than from metadata an application supplied, and any later processing of the file can be checked against the original.

The upgrade is backed by a long-term strategic investment. Sui Foundation is investing $30 million in the DATA Network, establishing the largest institutional stake in the network, alongside the continuing holdings of PIP Labs and the DATA Foundation. Furthering the alignment, SY Lee, Chairman of Poseidon and CEO of PIP Labs, joins Sui Foundation as Strategic Advisor.

The protocol upgrade

DATA Network will be upgraded to run as a protocol natively on Sui, and its independent chain will be retired. $DATA continues as the token of the DATA protocol on Sui, carried over one-to-one, with holder economics and governance rights at least equivalent to today. Locked and vesting positions carry over unchanged. In parallel, Walrus becomes the default storage layer for DATA Foundation applications.

Adeniyi Abiodun, Co-Founder and Chief Product Officer at Mysten Labs, the original contributor to Sui and Walrus, said: “The AI industry has reached the point where the open internet has been read, and the next frontier is defined by access to datasets with the consent and provenance that regulators require. Sui and Walrus were built to be the home where AI data is stored, licensed, and paid for, capable of operating at the scale these systems demand. The migration of DATA Network and Trace to our stack now brings massive volumes of high-quality, rights-cleared data that is already serving the world’s frontier AI labs.”

SY Lee, Chairman of Poseidon and CEO of PIP Labs, said: “The next generation of AI will be trained on data that lives with people rather than on the open web, and that data needs consent and provenance built in, along with a way to pay the people it comes from, and Trace was built to be that layer. It now becomes part of the Sui stack alongside Walrus, backed by one of the strongest engineering organizations in the industry and with Sui Foundation as the network’s largest strategic holder. This is the right home for the network we built, and I am looking forward to helping Sui make it the data layer for AI.”

Andrea Muttoni, CEO of DATA Foundation, said: “Training data is critical for continuously expanding the frontier, and making sure it is traceable, auditable and cleared to use is just as important for AI safety as it is a precursor for data quality. With Trace, we have been tracking hundreds of millions of data assets. Joining forces with Sui now allows us to build out more of the stack, offering more than just an audit trail, like encrypted reference file storage and potentially fully verifiable TEEs for evals and fine tunings in the future.”

The existing DATA Network will continue to operate until the upgrade is complete, and a detailed timeline and holder transition plan will be published prior to the upgrade.

About DATA Foundation

DATA Foundation supports the DATA Network, the protocol for tracking provenance of the real-world data AI models need. Through Trace, each contribution is registered with its provenance receipt and a full audit trail. Applications building on the network include Kled, Numo, Oto, and others. Formerly Story Foundation, the organization refocused on AI training data in June 2026. The DATA Network is being upgraded to run as a protocol on Sui.

About Sui

Sui, where money moves as freely as messages, is a next-generation Layer 1 blockchain built for onchain finance and agentic infrastructure. Founded by the core team behind Meta’s stablecoin initiative and powered by an object-centric model, Sui makes assets, permissions, and user data programmable and verifiable. Sui’s primitives offer everything necessary to create high-performance finance and AI-native applications. Learn more at sui.io.

About Walrus

Walrus is the data platform built for the demands of AI. It lets builders, enterprises, and AI agents move data across apps and models, protect it with built-in access rules, and make it verifiable by anyone. As AI takes actions with consequence, the data it runs on has to be provable. Created by the cryptographers and distributed systems engineers behind Sui and Meta’s first stablecoin initiative. walrus.xyz

Media contacts

DATA Foundation: datafoundation@150bond.com 

Sui Foundation: comms@sui.io 

Contact

Head of Communications
HV
DATA Foundation
henri.vues@piplabs.xyz

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The World’s Best Magazine Releases Issue 16 – October 2026 Edition, Excellence in Action

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The World’s Best Magazine Releases Issue 16 – October 2026 Edition, Excellence in Action

Australia, 10th Oct 2026, Grand Newswire –
 

The World’s Best Magazine has released Issue 16, the October 2026 edition, under the theme Excellence in Action: Where Knowledge, Leadership and Human Potential Shape a Better Future.

The edition examines leadership, education, wellness, health and human performance, focusing on how knowledge is applied, how learning approaches evolve and how innovation informs professional practice.

Four cover stories address these subjects. Future-Shaping Excellence examines how approaches to excellence respond to changing circumstances and emerging opportunities. Leaders Turn Expertise Into Action considers the application of professional knowledge in leadership and decision-making.

Rethinking How We Learn explores approaches to learning and the role of adaptation in education and development. On Wellness, Health & Human Performance: Ethical and Effective Innovations examines innovation in health and human performance, including the consideration of ethics and effectiveness.

Across its cover stories and interviews, Issue 16 considers how knowledge, experience and learning inform decisions and practices across different fields. The edition brings these subjects together under the theme of applying expertise and developing human capabilities.

The October 2026 edition forms part of The World’s Best Magazine’s coverage of people, ideas and work across professional and creative fields. More details about this announcement can be found via the website of The World’s Best Magazine. 

About The World’s Best Magazine

The World’s Best Magazine is a publication featuring interviews, articles and cover stories about people, ideas, work and developments across a range of fields. Its editorial coverage includes leadership, education, business, health, creativity and human potential. The magazine publishes editions that examine the experiences, practices and ideas shaping professional and creative activities.

 

Media Contact

Organization: The World’s Best Magazine

Contact
Person:
The World’s Best Magazine

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All About What’s Great

Email:

info@theworldsbestmagazine.com

Country:Australia

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Press Release

Malmö Project Outlines Business Proposal Development and Project Funds Management Activities in the Netherlands

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Netherlands, 10th Oct 2026 — The Malmö Project, presented by Audrius Razma under the Project Funds Manager designation at Ossendrecht Contract, outlines an approach to business project proposal development, investment-related research, and the coordination of professional support services. The initiative is documented on the project’s online platform, where readers can explore its stated objectives and the resources associated with its activities.

The project information is published on the website of Audrius Razma and references Malmö as the focus of its business proposal activities. It describes the use of publicly available company information to develop commercial project proposals that may be presented to businesses for consideration and potential financing.

Business Research and Project Proposal Development

A central element of the Malmö Project is the preparation of business proposals informed by company information. The published material encourages readers to examine lists of businesses identified as potential investment opportunities and use relevant information to develop structured project proposals.

Business proposal development typically involves understanding a company’s activities, identifying potential commercial opportunities, assessing resource requirements, and presenting a clear rationale for a proposed initiative. A well-organized proposal can help prospective business partners evaluate the purpose, feasibility, and expected costs of a project before deciding whether to participate.

The project’s stated approach places emphasis on commercial awareness and the preparation of written material based on available business information. Such work requires careful research, transparent assumptions, and clear documentation of any projected financial outcomes.

Companies and individuals considering a proposal should independently verify the information used, assess the associated risks, and establish the terms of any potential funding arrangement before making financial commitments.

The Role of Project Funds Management

Audrius Razma is identified in the published material as the Project Funds Manager associated with Ossendrecht Contract. The role provides an administrative framework for the project’s discussion of funding proposals, portfolio documentation, and financial coordination.

Project funds management generally involves organizing financial records, documenting proposed allocations, monitoring project-related expenditures, and maintaining information that supports financial reviews. These activities can help stakeholders understand how a project is structured and what resources may be required for its implementation.

Clear documentation is particularly important when proposals involve multiple companies, external service providers, or prospective funding partners. Written agreements, verifiable records, and clearly defined responsibilities can help establish expectations and support informed decision-making.

Professional Support and Documentation

The online material also references professional services relating to legal assessments, translation, accounting reviews, investigative research, and the preparation of supporting reports. These services are presented as potential resources for individuals seeking assistance with complex administrative, financial, or legal matters.

Depending on the circumstances, professional support may help individuals organize documents, understand procedural requirements, review financial information, or prepare materials for consultation with qualified advisers.

Legal matters involving compensation claims, business liabilities, insolvency, or disputes with public authorities require an assessment of the relevant facts and applicable law. Outcomes depend on the evidence, jurisdiction, and individual circumstances. Individuals should therefore seek advice from appropriately qualified professionals before relying on potential compensation estimates or pursuing legal action.

Similarly, investment proposals should be reviewed carefully, with attention to the identity of the parties involved, the source and availability of funds, the proposed terms, and any associated risks.

Accessing Information About the Malmö Project

The project page provides the primary reference for readers interested in reviewing the Malmö Project’s published information. It outlines the proposal-development concept and identifies the associated project-management contact.

The initiative is presented in the context of business research, funding-related documentation, and coordination with professional service providers. Its practical application will depend on the details of individual proposals, the reliability of supporting information, and the terms agreed upon by the relevant parties.

Readers can consult the published page to learn more about the project’s stated approach and determine whether further clarification is required before entering into any business or financial arrangement.

Project Contact Information

Project: Malmö Project

Position: Project Funds Manager

Organization: Ossendrecht Contract Hiroshima Office Press Dansk Systems Syndikat Inc Roosendaal Journaal

Contact Person: Audrius Razma

Email: razmaaudrius@yahoo.com

Country: Netherlands

Website: https://tomashelpiai.blogspot.com/2026/08/niet-40.html

Media Contact

Organization: Ossendrecht Contract Hiroshima Office Press Dansk Systems Syndikat Inc Roosendaal Journaal

Contact Person: Audrius Razma

Website: https://tomashelpiai.blogspot.com/2026/08/niet-40.html

Email: Send Email

Country: Netherlands

Release id: 49837

View source version on King Newswire:
Malmö Project Outlines Business Proposal Development and Project Funds Management Activities in the Netherlands

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