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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.

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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

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

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Karviva and Founder Dr. Angela Zeng Featured in 2026 USA TODAY Food as Medicine Edition.

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Full-page feature highlights founder Dr. Angela Zeng’s approach to combining traditional wellness principles with modern nutrition

Saint Louis, MO, United States, 17th Oct 2026 – Karviva, the functional beverage company founded by Dr. Angela Zeng, is featured in the 2026 USA TODAY Food as Medicine special edition, with a full-page feature appearing on page 23 in both the digital and print editions. According to information provided by USA TODAY, approximately 250,000 printed copies of the special edition are expected to be in circulation. The feature highlights Dr. Zeng’s background as a medical scientist, her family’s generations-long connection to Traditional Chinese Medicine, and the thinking behind Karviva’s whole-plant beverage portfolio.

The feature, titled “Why a Medical Scientist Built a Gentler Cleanse,” explores Dr. Zeng’s personal and professional path and the ideas that led her to create Karviva. It highlights the company’s use of whole-plant ingredients, including fruits, vegetables, sprouts, herbs, and botanicals, as well as its approach to developing juice products without added sugar or harsh laxatives.

Dr. Zeng founded Karviva after combining her scientific training with the traditional wellness practices she grew up around. Her background includes a Ph.D. in Pathology and training in evidence-based nutrition, while her family history introduced her to Traditional Chinese Medicine from an early age.

“A cleanse should not feel like a punishment,” said Dr. Angela Zeng. “It should give you space to hydrate, simplify your meals, and pay attention to what your body needs.”

The USA TODAY appearance adds to a series of recent milestones for Dr. Zeng and Karviva. Dr. Zeng’s debut book, The Balance Cure: The TCM Way to Lasting Weight Loss, has reached the No. 1 bestseller position in Amazon’s Holistic Medicine category. The book explores Traditional Chinese Medicine alongside modern nutrition and introduces readers to five TCM body patterns, self-assessments, seasonal observations, recipes, and lifestyle reflections.

Karviva has also recently received recognition from Good Housekeeping, with the company’s Profit Cacao Whole Plant Protein & Prebiotic Smoothie selected as a winner of the 2026 Snack Awards. The recognition followed evaluations by the Good Housekeeping Institute Nutrition Lab and consumer testing as part of the award program.

The new USA TODAY feature offers readers a closer look at the founder behind Karviva and the ideas that continue to shape the company’s approach to functional beverages.

About Dr. Angela Zeng

Dr. Angela Zeng, Ph.D., MBA, is a food scientist, Traditional Chinese Medicine scholar, and founder and CEO of Karviva. Born into generations of Chinese herbal practitioners and trained in pathology, biochemistry, and evidence-based nutrition, she combines traditional wellness principles with modern nutritional science through her work as an entrepreneur, author, and speaker. She is the author of The Balance Cure: The TCM Way to Lasting Weight Loss.

About Karviva

Karviva is a St. Louis-based functional beverage company founded by Dr. Angela Zeng. Inspired by Traditional Chinese Medicine and modern nutritional science, the company develops plant-based beverages using whole-food ingredients, botanicals, and prebiotic fiber. Its portfolio includes juices, protein smoothies, hydration beverages, and other functional drinks.

Media Contact

Organization: Karviva

Contact Person: Dr. Angela Zeng

Website: https://karviva.com/

Email:
angela@karviva.com

City: Saint Louis

State: MO

Country: United States

Release id: 49986

View source version on King Newswire:
Karviva and Founder Dr. Angela Zeng Featured in 2026 USA TODAY Food as Medicine Edition.

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U-topia Launches Public Beta as Global Builders Gather for U-Hackathon

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Financial technology company opens its app in more than 50 countries during FLOW Summit as 500-plus builders develop AI and Web3 products

BANGKOK, Oct. 17, 2026, ZEX PR WIRE  — U-topia, a financial technology company building a self-custody app for everyday money movement, has opened its public beta in more than 50 countries. The company announced the launch at FLOW Summit 2026, held Oct. 15-16 at Avani Sukhumvit Bangkok, five years after U-topia was founded.

More than 700 people attended the two-day launch, including technology entrepreneurs, developers and community members from several countries. The program combined U-topia product demonstrations and company updates with U-Hackathon, a global build program focused on practical AI and Web3 products.

“Five years ago, I set a simple standard: if my mother could not use the product without calling me for help, it was not ready,” said Emmanuel Quezada, founder and CEO of U-topia. “Opening the beta with people from around the world, while hundreds of builders were creating new tools beside us, brought that idea to life. Our goal is to make moving money as simple as sending a message while keeping people in control.”

A public beta designed around everyday use

U-topia is designed to let eligible users hold, send, spend, convert and withdraw digital and everyday currencies through one mobile app. Users can send funds to another U-topia user through a U-Tag, a simple @name that replaces a long wallet address. The company says funds remain under the user’s control rather than being held by U-topia.

The public beta follows private alpha and closed beta testing with community members and ambassadors. Feature availability varies by country. Account opening, card issuance and transactions remain subject to age requirements, identity verification, partner rules and local law. U-topia is not a bank or card issuer; card and local currency services are provided through licensed partners where available.

U-Hackathon brings global builders to Bangkok

FLOW Summit also hosted U-Hackathon on Oct. 15-16. Organizers said the event attracted more than 500 hackers and builders from around the world. Teams worked through a 24-hour build period with product, engineering and design mentors before presenting working prototypes in two tracks: artificial intelligence and Web3. The program extended the app launch into a working forum for new products, technical collaboration and international builder participation.

The competition recognized three teams in each track. Organizers valued the combined awards at more than 2.5 million Thai baht, including the advertised THB 1 million core prize pool, partner bounties and technology credits. UBotPay, an AI-powered payment agent built for Web3, won first place in the Web3 track. U-Reach, an AI-powered marketing, sales and customer relationship management platform, took first place in the AI track.

U-Hackathon was sponsored by ElevenLabs, Tokenomist AI and DTC Group, in association with Avalanche, Team1 Thailand, Yellow.com, ContributionDAO, CUBS Chula and Hooray. Judges selected projects on merit, and members of the U-Center DAO community voted live for the grand prize.

The summit also included a preview of U.bot, a related AI venture from members of U-topia’s founding team. U.bot is being developed as a user-controlled orchestration layer that can select among AI models and coordinate specialized agents. Its long-term roadmap aims to create a more capable personal AI experience with characteristics the team associates with superintelligence; those advanced capabilities are planned and are not currently available.

About U-topia

Founded on Oct. 16, 2021, U-topia is a financial technology company building a self-custody mobile app intended to help people hold, send, spend, convert and withdraw digital and everyday currencies while retaining control of their funds. U-topia is not a bank and does not issue cards. Availability and features vary by country and are subject to partner requirements and local law. Learn more at www.u-topia.com.

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From Karmayogi to the World Stage: Dr. Hemant Garg Wins “Excellence in AI for Public Policy”, Charts India’s Path to the AI Big League

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Civil servant, researcher and AI pioneer tells the 3rd World AI Summit, Bengaluru, that people-first, sovereign AI can make India a global AI leader

Bengaluru, India, 16th October 2026, ZEX PR WIRE  — Dr. Hemant Garg, Deputy Director (Legal), Employees’ State Insurance Corporation (ESIC), Ministry of Labour and Employment, Government of India, received the “Excellence in AI for Public Policy” award at the 3rd World AI Summit in Bengaluru on 14–15 October 2026, placing an Indian public-policy voice at the centre of the global debate on how AI should serve people.

Dr. Garg described all of his work, from AI agents for government to AI-led labour law outreach, as an effort to help realise Hon’ble Prime Minister Shri Narendra Modi’s vision of Viksit Bharat@2047, under the leadership of Hon’ble Union Labour and Employment Minister Dr. Mansukh Mandaviya, whose Shramev Jayate reforms, Labour Codes and Ease of Doing Business drive set the direction. The goal, he said, is an Atmanirbhar Bharat in AI, built on a Bharat AI Stack: Indian large language models such as Sarvam, the Bhashini platform serving citizens in their own languages, and home-grown agents and talent under the IndiaAI Mission, taking India into the global AI league.

Held with Digital India, the National e-Governance Division (NeGD) and the Karnataka Digital Economy Mission (KDEM) as partners in Bengaluru, India’s startup, IT and now AI capital, often called India’s Silicon Valley, the Summit was themed “AI for All: Accelerating India’s Journey Towards Inclusive, Responsible and Future-Ready AI”.

The award honours his creation in 2023 of “IFSCA Karmayogi”, the first AI agent at the International Financial Services Centres Authority (IFSCA), GIFT City, and his research on AI in anti-money laundering, the Labour Codes and algorithmic management of gig workers.

On the panel “AI for All – India’s Journey to a Sovereign, Inclusive AI Future”, with Shri Aman Mittal, IAS, Dr. BVRC Purushottam, IAS and Prof. (Dr.) T. G. Sitharam, former Chairman, AICTE, moderated by Dr. Ravi Gupta, Dr. Garg said inclusive AI must include the worker, and that India can blend Europe’s rights-based approach, US-style audits and Singapore’s skilling model through its Labour Codes, the DPDP Act and e-Shram.

His keynote, “AI, Employment & Skills: Building a Future-Ready Workforce for India”, presented as “From Files to Foresight”, began with a worker disabled in an accident, or a family that has lost its breadwinner, whose care and pensions depend on ESIC, EPFO, the Ministry of Labour and Employment and the National Health Authority. “The true test of AI in government is how quickly that family receives its benefits, and whether it is treated with dignity on the way,” he said.

He traced three waves of governance: e-Governance, which put paper online; Digital Governance, built on India’s digital public infrastructure; and now AI-enabled Intelligent Governance, where benefits reach eligible citizens without their having to apply.

Dr. Garg propounded that AI will change tasks first, then jobs, then institutions and the workforce, and called for institutions for AI governance, impact assessment and exposure mapping to curb job attrition, support reskilling and compensate workers in transition. e-Shram, ESIC and EPFO, now reaching gig and platform workers, can extend social security to those left out, while indigenous models such as Sarvam and Bhashini can grow home-grown AI talent under the IndiaAI Mission.

Government AI, he said, must be lawful, explainable and accountable; “a pattern is not proof”; and India must guard against a new colonisation “not by ships, but by servers”. He proposed “Five Ts”: Trust, Transparency, Talent, Thin and safe data, and Tested-then-scaled.

An LLB, LLM and Ph.D., and an IIT Delhi CTO Programme alumnus with nearly two decades in public service, including Punjab’s Department of Cooperation, Dr. Garg has researched digital governance in governments and cooperatives extensively; his work is published internationally, taught in universities and presented at Oxford, Harvard and Cambridge.

“Not artificial intelligence replacing governance, but intelligent governance that remains deeply human,” he concluded.

Connect with Dr. Hemant Garg on LinkedIn: https://in.linkedin.com/in/dr-hemant-garg-2b26699

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