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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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Michael Sealy on Why Knowing the Full Business Is the Real Competitive Advantage in Commercial Real Estate

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Dallas-based commercial real estate executive Michael Sealy, Director of Corporate Strategy at Sealy & Company, explains how cross-functional experience shapes better strategic decisions in a complex market.

A Career Built Across Every Department

Dallas, TX, 26th June 2026, ZEX PR WIRE, Most careers in commercial real estate follow a vertical path. A leasing broker becomes a senior broker. An investment analyst becomes a fund manager. Specialization is treated as the route to expertise. Michael Sealy, Director of Corporate Strategy at Sealy & Company in Dallas, Texas, took a different path.

Over more than two decades at Sealy & Company, Michael Sealy has worked in construction management, ground-up development, investment analysis, and capital markets before moving into his current strategic role. That horizontal movement was deliberate. He started his career as a leasing broker at Colliers International, gaining deal-level experience before joining the family-connected firm in late 2000 and beginning what would become a systematic education in every dimension of a full-service real estate platform.

Why Breadth Produces Better Strategy

In commercial real estate, strategy is only as strong as the operational understanding behind it. Decisions about which assets to pursue, how to structure capital, when to develop versus acquire, and how to position a firm within a changing market require more than financial modeling. They require an understanding of how buildings get built, how capital flows, and how each department’s decisions ripple across the organization.

Michael Sealy’s career arc was designed to develop exactly that kind of understanding. By the time he assumed oversight of the firm’s capital markets functions, he was not approaching financing decisions in isolation. He understood the construction and development context within which those financing decisions would have to perform.

The Strategic Value of Operational History

The transition from execution to strategy is one of the most consequential shifts in any real estate executive’s career. The risk, for many, is that it becomes a move away from operational reality rather than above it. Michawl Sealy’s multi-department career has positioned him to lead the firm’s corporate strategy function with a grounding that is difficult to replicate through analysis alone.

His current focus includes evaluating strategic opportunities, assessing capital alignment, and supporting enterprise-wide planning, work that draws on two decades of firsthand exposure to how those plans are actually executed at the operational level.

Community as a Parallel Commitment

Outside his work at Sealy & Company, Michael Sealy is active in the Dallas community. As a member of the Salesmanship Club of Dallas, he volunteers with the Momentous Institute and the Byron Nelson Golf Tournament. He is also committed to wildlife conservation, managing land specifically to support wildlife and waterfowl habitats.

These commitments reflect the same long-term thinking that characterizes his professional work. Both require patience, sustained investment, and a willingness to do work whose benefits may not materialize immediately.

About Michael Sealy

Michael Sealy is the Director of Corporate Strategy at Sealy & Company, a full-service commercial real estate firm based in Dallas, Texas. He has worked in commercial real estate for over two decades, with experience across construction, development, capital markets, and strategic planning. He can be found at michaelsealydallas.com.

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MultiHopper Partners with TRM Labs on Compliant Private Digital Asset Routing

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The integration brings TRM’s blockchain intelligence to power sanctions screening, AML controls, and wallet risk scoring into MultiHopper’s private programmable on-chain routing layer for digital asset transfers.

Singapore, Singapore, 26th Jun 2026 – MultiHopper, the programmable privacy routing protocol for digital assets, today announced a partnership with TRM Labs, the blockchain intelligence company trusted by leading financial institutions, crypto businesses, governments, and public sector agencies.

Through the partnership, MultiHopper is integrating TRM’s risk intelligence into its routing architecture to prevent OFAC-sanctioned, stolen, illicit, high-risk and otherwise restricted funds from using MultiHopper’s rails.

MultiHopper believes this creates an innovative architecture for regulatory-ready private programmable onchain routing: digital asset movement with privacy protections and compliance controls built into the network state itself. The solution is live today on Solana.

The announcement comes at a critical moment for crypto privacy.

Legacy privacy systems such as mixers, tumblers and shielded pools have repeatedly created regulatory and enforcement risk. Mixers, tumblers and pooled privacy systems became the defining example after being sanctioned by OFAC, which alleged that it had been used to launder billions of dollars of digital assets, including funds stolen by North Korea’s Lazarus Group.

Other privacy systems have attempted to address this problem with proof-of-innocence style mechanisms. But these approaches still generally sit around privacy pools or shielded environments, protocols or APIs, where funds enter a shared privacy system and compliance assurances are layered around that structure.

Unlike other protocols and layers trying to solve the “privacy trilemma”, MultiHopper differentiates by having no offchain components and no commingling. It also does not rely heavily on specialized cryptographic systems, which can create challenges when scaling across multiple assets and may be costly to develop, audit and maintain..

MultiHopper instead focuses on delivering a primitive which enables compliant onchain private programmable routing infrastructure. 

This unique approach differentiates significantly from existing approaches which make significant trade-offs in terms of compliance, legality, centralization, expense, and scalability. 

In most of the aforementioned solutions, the core regulatory risk is that sanctioned, stolen or illicit funds may enter a shared privacy environment and benefit from its anonymity set. In general, regulators do not approve of commingling activity. 

MultiHopper is designed so that this failure mode should not occur. MultiHopper is designed to screen transfers against TRM intelligence and block identified high-risk funds before they enter or exit the rails. Furthermore, assets cannot commingling as each transfer is a unique wrapper which will never be repeated, by design.

“Situations like infamous mixers and tumblers happened because privacy infrastructure allowed tainted funds and bad actors to use the same privacy environment as legitimate users,” said Enigma, the CEO and founder of MultiHopper and EnigmaFund Venture Capital. “That is not the model we are building. MultiHopper is compliance-gated private programmable routing. Part of our focus is to ensure that bad actors and their funds should not be able to enter the rails, exit the rails or use the rails. Privacy should protect legitimate users, not sanctioned actors, stolen funds or illicit finance.”

MultiHopper also differentiates in that it is onchain, never taking assets offchain, while remaining permissionless and non-custodial. 

Most crypto compliance today exists outside the protocol: in the exchange, the backend, the app, the interface, the custodian or the compliance department. MultiHopper is taking a different approach by adapting TRM’s stack into the routing layer itself.

The result is a new category of infrastructure: regulatory-ready private programmable onchain routing.

For developers, this means APIs for private digital asset movement without inheriting the regulatory dangers of other existing approaches.

For AI agents, it means private programmable payment rails with compliance controls designed into the architecture.

For wallets, protocols and institutions, it means a privacy routing layer that can reduce public exposure while defending against sanctioned addresses, stolen funds, illicit proceeds and AML risk.

MultiHopper’s compliance architecture is designed around a simple principle: privacy should not require pooled ambiguity, regulatory blindness or post-facto damage control.

The rails should defend themselves at the network level. 

By integrating TRM’s risk intelligence into the architecture, MultiHopper is building private programmable money infrastructure that can be used by serious developers, businesses, agents and institutions.

“Currently over $21TN USD of the world’s FIAT money passes through SWIFT every day. Double that if you count securities and RWAs. These all use private, compliant and secure rails. For that kind of volume to come to crypto we need an approach to having clean money in the system… especially for private transfers and DeFi. TRM gives us the intelligence we need to enforce that standard.”

Compliance-locked private programmable routing for digital assets is available immediately on Solana both via APIs for developers and AI agents at https://business.multihopper.com as well as for consumers at https://www.multihopper.com.

About MultiHopper

MultiHopper is programmable onchain privacy routing infrastructure for digital assets. It enables non-custodial, permissionless routing of digital assets without mixers, tumblers, shielded pools, commingled liquidity or private blockchains. MultiHopper is building regulatory-ready private programmable money infrastructure for developers, AI agents, wallets, protocols and institutions.

About TRM Labs

TRM Labs provides blockchain intelligence solutions that help organizations detect, investigate and disrupt crypto-related financial crime. TRM’s platform supports compliance, investigations, wallet screening, transaction monitoring and blockchain intelligence for crypto businesses, financial institutions and public sector agencies.
 

For Press Contact:

Khine Zhin

Khine@enigmafund.com

Sources:

https://multihopper.com/login

https://www.austrac.gov.au/us-treasury-issues-sanctions-virtual-currency-mixers 

https://www.cgi.com/en/article/payments/moving-21-trillion-in-payments-each-day

https://dev-docs.multihopper.com/quickstart

https://dev-docs.multihopper.com/guides/agentic-integration 

Media Contact

Organization: MultiHopper

Contact Person: Khine Zin

Website: https://business.multihopper.com

Email:
enigma@multihopper.com

Contact Number: +442032901955

Address:0A Tanjong Pagar Road

Address 2: 088443

City: Singapore

Country:Singapore

Release id:46427

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Toss Brings 30 Million Users Into the AI Data Economy in Partnership With Poseidon

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Palo Alto, United States, June 26th, 2026, Chainwire

Toss users can now contribute real-world data to train AI and get paid for it, in a first-of-its-kind model launching in Korea ahead of global expansion.

Poseidon, the data infrastructure built to source and license real-world data for AI, today announced a partnership with Toss, the mobile financial platform operated by Viva Republica, to let everyday users contribute to AI training and be paid for what they provide. It is Toss’s first move into AI data, and it opens that market to its roughly 30 million users.

Frontier AI has run out of internet to scrape. The next generation of models depends on real-world data, the kind that captures how people actually speak, move, and react, which does not exist on the open web and has never had a clean way to be sourced, licensed, or paid for. Poseidon is building the infrastructure to change that, and Toss brings the reach to do it at scale.

Through the partnership, Poseidon’s contributor app, Numo, launches inside the Toss app. Toss users can help build Korean-language training data across voice, image, and video, and receive payment tied directly to what they contribute. Poseidon provides the infrastructure that tracks each contribution and its value, while Toss provides the user base and the financial experience that turns participation into payment. Together they offer a working answer to a question the AI industry has struggled with, which is how to compensate the people whose data makes models better.

Every contribution made through Numo is registered on DATA, the AI data network that Poseidon refines data for. DATA gives each record a verifiable provenance trail through Trace, its public audit layer, so a buyer can see where a piece of training data came from and a contributor can see that their work was counted and paid. DATA Foundation, which launched this week from the rebrand of Story, is building this layer alongside integration partners including the human data marketplace Kled, and Poseidon is one of the largest sources of refined data flowing into it.

What Numo collects is first-person data, recorded by real people in real environments, which is among the hardest and most valuable categories to obtain. It is the raw material for physical intelligence, the AI that has to operate in the physical world across robotics, autonomous vehicles, and other applications. Demand from global AI labs for this kind of data is climbing, and Korea is positioned to supply it, with its dense real-life data and Toss’s user base. Poseidon and Toss intend to prove the model in Korea, then expand to global markets.

Changhoon Seo, Executive Director of New Business at Toss, said: “As the AI industry grows, demand for high-quality data is rising just as fast. Toss plans to build an environment where users can take part in the data economy more easily and naturally, and to expand a structure in which the value they contribute is rewarded transparently.”

SY Lee, Chief Strategy Officer and Chairman of Poseidon, said: “Korea is one of the few markets where the strategic importance of AI data, a mature financial system, and world-class mobile experience all exist at once. Toss is the right partner to turn user-contributed AI data from an early idea into a standard the rest of the world can adopt.” Lee previously founded the web-novel platform Radish and sold it to Kakao Entertainment, co-founded Story, the IP infrastructure that recently rebranded as DATA Foundation, and was named a Young Global Leader by the World Economic Forum this year.

About Poseidon

Poseidon is the data infrastructure for AI, built to source, refine, and license the real-world data that frontier models need and the open internet cannot supply. Incubated by the team behind The DATA Network, Poseidon bridges the gap between data supply and AI demand by enabling access to high-quality, IP-safe, and composable training datasets. Poseidon raised a $15 million seed round led by Andreessen Horowitz (a16z). Poseidon’s contributor app, Numo, has recorded more than 711,000 data registrations worldwide and is available and is now available on the Toss app.

Contact

HV
henri.vies@piplabs.xyz

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