Press Release
WarRin Protocol: A point-to-point anonymous privacy communication system
Dr.WarRin
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.
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
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.
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.
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:
Curve25519 Curve Mathematical Expression:
Curve25519 encryption algorithms are 
Generate a one-time random secret 
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
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 
3.2 Allocation
WarRin protocol node distribution
3.2.1 Node allocation
Set the initial price 
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
3.2.2 Total number of address assignments
Each node occupies one address, and the total number of 
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 
References
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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,
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[6] D. Goldschlag, M. Reed, P. Syverson, Onion Routing for Anony- mous and
Private Internet Connections, Communications of the ACM, 42, num. 2 (1999),
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[7] L. Lamport, R. Shostak, M. Pease, The byzantine generals problem, ACM
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[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.
About Author
Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.
Anatoly Zadorozhnyy has launched Affordable SEO Expert, a dedicated website that allows businesses to work directly with him for SEO services without going through a traditional agency structure. The website outlines his offerings, including technical SEO audits, on-page optimization, and link building, while also providing insight into his experience and SEO methodology.
Los Angeles, CA, United States, 26th May 2026 – Affordable SEO Expert, a newly launched website operated by SEO professional and founder of Marketing 1on1, Anatoly Zadorozhnyy, is now online. The platform was created to provide information on search engine optimization services, SEO methodologies, and digital marketing practices for website visibility and organic search performance.
The website covers several areas of SEO, including technical SEO audits, on-page optimization, content structure analysis, link-building practices, and website performance considerations. The platform also outlines general information regarding SEO processes commonly used to support website indexing, search accessibility, and content relevance across search engines.
The launch of the website reflects ongoing activity in the SEO industry, as independent consultants and specialized platforms expand their online presence to provide educational resources, service information, and search optimization support for businesses across a wide range of industries.
The website also contains information on SEO practices, including both on-site and off-site strategies. Topics referenced throughout the platform include metadata optimization, website structure evaluation, keyword targeting considerations, internal linking practices, technical site analysis, and backlink-related SEO factors commonly associated with organic search visibility.
In addition to service-related information, the website includes background details on industry experience and professional focus areas related to search engine optimization and digital marketing. The platform references work associated with websites operating in local, regional, and broader online markets where search visibility and website accessibility remain important aspects of digital presence management.
Website Features
The Affordable SEO Expert website includes several informational sections, including:
- Information about available SEO-related services
- Background and professional experience details
- Technical SEO and on-page optimization information
- General information related to link-building practices
- Contact and inquiry submission functionality
- Website optimization and search visibility resources
The website launch represents an additional entry into the growing number of specialized online platforms focused on SEO consulting, digital marketing information, and website optimization services. As search engine algorithms and digital marketing standards continue to evolve, platforms dedicated to SEO education and optimization resources remain an active segment of the broader online marketing industry.
About Anatoly Zadorozhnyy
Anatoly Zadorozhnyy is an independent SEO consultant. His work spans technical optimization, content strategy, and search visibility improvements for businesses operating in competitive online markets. The launch of affordableseoexpert.com formalizes the direct consulting model he has operated under. It serves as the primary channel through which new and existing clients can engage his services.
Website: https://www.affordableseoexpert.com/
Facebook: https://www.facebook.com/affordableseoexpertservices/
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About Author
Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.
Press Release
Giggso Introduces Raven, Andie, and AIRTaaS to Help Enterprises Bring Discipline, Reasoning, and Security to AI Adoption
TROY, Mich., May 26th, 2026, ZEX PR WIRE — Enterprises are moving faster with AI than ever before. But many are also quietly losing comprehension of the systems they are building.
Engineering teams now generate code, workflows, automations, and AI-driven decisions at unprecedented speed using tools like Claude, Codex, Cursor, and enterprise copilots. While productivity has increased, organizations are also experiencing a new operational challenge: more meetings, fragmented workflows, inconsistent outputs, security concerns, architecture drift, and growing difficulty understanding how systems actually work together.
Giggso calls this problem “comprehension debt” — the growing gap between AI-generated velocity and organizational understanding.
Today, Giggso announced Raven, Andie, and AIRTaaS, three offerings designed to help enterprises reduce comprehension debt and bring discipline, reasoning, and continuous security testing into AI adoption at scale.
Together, the offerings form the front door into GSD (Giggso Security Domain), Giggso’s broader architecture for governing, securing, and operationalizing enterprise AI systems.
“At a small scale, AI feels magical,” said Ravi Venugopal, Founder and CEO of Giggso. “At enterprise scale, it can quickly become operational chaos. Teams move faster, but understanding drops. Meetings increase. Ownership blurs. AI starts producing more than organizations can realistically comprehend or govern. That is the problem we are solving.”
At the center of the announcement is Raven, Giggso’s discipline layer for AI-assisted software development.
Raven is designed to help organizations enforce engineering discipline inside AI-driven development workflows before problems reach production. Rather than acting as a traditional code scanner after development is complete, Raven introduces governance, architecture awareness, policy enforcement, and review controls directly into AI-assisted coding environments.
The platform helps organizations identify risks such as:
- architecture drift
- unapproved libraries
- exposed secrets
- policy violations
- insecure dependencies
- undocumented AI-generated logic
- uncontrolled AI usage patterns
The goal is not to slow development, but to preserve organizational understanding as teams move at AI speed.
“AI can now generate code faster than teams can comprehend it,” Ravi said. “Without discipline, enterprises accumulate technical debt, security exposure, and operational confusion at machine speed. Raven helps organizations preserve engineering quality and architectural understanding while still moving fast.”
Giggso also introduced Andie, a structured reasoning engine designed to help enterprises improve contextual thinking and operational decision-making across teams.
Unlike traditional chatbot-style AI interfaces that generate isolated answers, Andie is designed to help organizations reason through problems with context, constraints, and multiple perspectives in mind. The platform is intended to support operational workflows across delivery, strategy, planning, support, and execution environments.
Giggso believes one of the biggest failures in enterprise AI adoption is not a lack of intelligence, but a loss of shared understanding.
“Most organizations do not need another chatbot,” Ravi said. “They need systems that help teams think more clearly together. AI should reduce confusion, not multiply it. Andie is designed to strengthen organizational reasoning, preserve context, and reduce the fragmentation that happens when every team operates with disconnected AI outputs.”
To address the growing security risks around enterprise AI adoption, Giggso is also expanding AIRTaaS, its AI Red Teaming as a Service platform.
As enterprises deploy AI agents, copilots, retrieval systems, and autonomous workflows into production, traditional security testing approaches are increasingly insufficient. AI systems can fail through prompt injection, hallucinations, role-boundary violations, tool misuse, unsafe autonomy, data leakage, and adversarial manipulation.
AIRTaaS continuously stress-tests AI systems against these real-world failure scenarios before they become operational incidents.
The platform combines:
- AI red teaming
- observability
- governance workflows
- incident tracking
- remediation guidance
- human-led adversarial testing
To strengthen its execution capabilities, Giggso has partnered with Seiance India, a woman-owned AI security startup based in Chennai, India, whose product, Trinity, is an AI security and observability platform.
“AIRTaaS turns AI security into an operational discipline instead of a compliance checkbox,” said Abhinaya, CEO of Seiance India P Ltd.
“Enterprises need continuous stress testing because AI systems are constantly evolving. Our focus is helping organizations identify weaknesses early, validate resilience continuously, and improve trust in production AI systems.”
Giggso also announced that portions of AIRTaaS and related tooling will be free for Individual Developers, while core Enterprise developer-focused red teaming capabilities will be low-cost and easy to certify for teams.
The company said the decision reflects a growing concern about “AI washing” — where organizations overstate AI capabilities without sufficient operational rigor — and the rise of “AI slop,” low-quality AI-generated outputs that appear acceptable on the surface but fail under real operational conditions.
“We believe AI adoption needs more honesty, more discipline, and far more operational accountability,” Ravi said. “The future belongs to organizations that can scale AI without losing security, comprehension, governance, and trust in the process.”
Raven, Andie, and AIRTaaS are part of GSD (Giggso Security Domain), Giggso’s enterprise architecture for governing AI systems, coding workflows, observability, orchestration, reasoning, and AI operational security across the enterprise.
More information is available at Giggso
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Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.
Press Release
Caladan Launches API Liquidity: Institutional Access to Aggregated Digital Asset Liquidity Across 100+ Tokens
Singapore, May 26th, 2026, ZEX PR WIRE — Institutional counterparties can now access executable streaming prices and RFQ liquidity for spot and perpetuals on 100+ digital assets through the Caladan API, launched today by Caladan, the largest Asia-headquartered market maker for digital assets.
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Built on nearly a decade of active trading, Caladan continuously aggregates pricing and depth from 20+ on-chain protocols, 47+ centralised exchange integrations, and bilateral relationships. The result is a single pricing feed that delivers tighter spreads, higher fill rates, and full depth on long-tail tokens.
“Fragmentation is the defining liquidity challenge in digital assets today. A single exchange, a single counterparty, or a single OTC desk will always have an incomplete view of price and depth. We have spent nine years building the infrastructure to see the whole market simultaneously, and API Liquidity makes that infrastructure available to institutional participants through a single API connection.” – John Gu, CEO, Caladan
Why aggregation produces better pricing
Digital asset liquidity is highly fragmented across centralised exchanges, decentralised protocols, regional venues, bilateral broker-dealers, and OTC desks. Caladan’s sourcing model is the commercial differentiator. The firm facilitates over $170 billion in annual trading volume across more than 100 assets, which means its pricing engine is continuously calibrated against a wider range of market signals. The more heterogeneous the sourcing — on-chain, off-chain, bilateral, and platform-routed simultaneously — the tighter the spread and the deeper the available size at any given price point.
The broadest token coverage of any market maker
API Liquidity provides access to the top 100 tokens — the widest token coverage available from any market maker globally. Coverage spans spot and perpetuals.
For institutional participants managing diversified digital asset portfolios or building crypto-embedded products, this breadth eliminates the need to maintain multiple liquidity provider relationships to cover the full token universe.
Flexible connectivity and settlement
API Liquidity is designed for immediate integration with minimal development overhead. Counterparties can connect through the channel that fits their existing workflow:
-
Direct API: Native FIX connectivity (4.2, 4.4, 5.0) for firms that prefer a direct bilateral connection
-
Platform partners: Desks already connected to Talos, Finery Markets, or CrossX can access Caladan liquidity with no additional integration work
Settlement is handled through institutional partners, with options for fiat and stablecoins:
-
Hidden Road and BitGo Go Network for custodial settlement
-
Customers Bank CUBIX for fiat settlement in USD
-
USDT and USDC settlement available directly
Competitive credit and margin terms are available for qualifying counterparties. Fiat currency pairs including EUR and JPY are in development, with additional currencies in the pipeline.
About Caladan
Caladan is Asia’s largest digital asset market maker, headquartered in Singapore with teams across seven global offices. Since 2017, Caladan has facilitated over $170 billion in annual trading volume, operating across 65+ exchanges worldwide. The firm provides market-making, OTC trading, DeFi expertise, and investments to institutional participants globally.
About Author
Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.
Affordable SEO Expert Anatoly Zadorozhnyy Announces Launch of SEO Consulting Website
Giggso Introduces Raven, Andie, and AIRTaaS to Help Enterprises Bring Discipline, Reasoning, and Security to AI Adoption
Caladan Launches API Liquidity: Institutional Access to Aggregated Digital Asset Liquidity Across 100+ Tokens
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