$KAS exchange liquidity and book of sellers is so low it will only take $6m to pump the price to $0.25 👀
Are you ready?
🚀🟢🟢🟢
@KaspaCurrency@Cryptographur
$KAS has been voted as the Layer 1 that has the best chance of displacing $ETH as the L1 King 👑
$CSPR and $HBAR rounded out the top 3
Here are the rest of the results..
1.
🟢 $KAS
2.
🟠 $CSPR
3.
⚫️ $HBAR
4.
$AZERO
5.
$ADA
$XRD
6.
$KDA
7.
$LYX
$EGLD
8.
$SOL
9.
$ALGO
10.
$DOT
11.
$INJ
$XRP
12.
$AVAX
$ICP
13.
$NEAR
$KOIN
$XTZ
$CKB
$ERG
$XDC
14.
$ROSE
$FLR
$QANX
15.
$APT
$TARA
$MATIC
$ATOM
$CHR
$TSUKA
$ALPH
$DERO
$NEXA
$CCD
$DAG
$FTM
$PLS
Do you agree?
https://t.co/fTDkwnlooT
"Don't trust, verify"
To help $kas users verify the integrity of the chain, @MichaelSuttonIL and myself put together an elaborate step-by-step guide for performing this verification locally:
https://t.co/tecDHuaqBd
Anyone who wants to authenticate the Kaspa chain all the way down from the current state to a genesis with an empty UTXO set is welcome to follow.
Why does the #Kaspa community claim that $Kas is the natural evolution of #Bitcoin?
Such an outrageously big claim, right?
But would U still consider it a "claim" if they can back it up?
$BTC is on top of #blockchain for 10 years with its 10 min transactions
How U beat that? 👇
By evolving
While Visa can process up to 24,000 transactions per second (TPS), Bitcoin can process only seven TPS. Ethereum, Bitcoin's closest competitor, can handle 20 to 30 TPS. It's clear that cryptocurrencies must catch up with traditional finance's transaction capabilities in order to achieve mass adoption.
How #Kas fit in all this? Well, it all started nearly 10 years ago, as old as Bitcoin, with the #Ghost protocol.
GHOST ORIGINS
The GHOST (Greedy Heaviest Observed Subtree) protocol was originally proposed by Yonatan Sompolinsky and Aviv Zohar (You will read their names a lot here) in a research paper titled "Secure High-Rate Transaction Processing in Bitcoin."
The paper was presented at the Financial Cryptography and Data Security Conference in 2013. Yonatan Sompolinsky and Aviv Zohar are both computer scientists and researchers who were studying various aspects of blockchain technology, including its scalability and security challenges.
In case you're wondering who Aviv Zohar is will leave this tweet here:
https://t.co/V3ttvl1ybp
Their paper introduced the GHOST protocol as a potential solution to the trade-off between security and transaction throughput in blockchain networks. The protocol's novel approach to including orphaned blocks and assigning them weight in the consensus process aimed to enhance the overall efficiency and security of the network. Find it here 👇
https://t.co/laVKgQxmdI
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Why the ghost protocol was developed?
=====
The GHOST protocol was developed as a solution to the security and performance challenges faced by blockchain networks, particularly in the context of consensus mechanisms and block confirmation.
In traditional blockchain systems using Proof of Work (PoW) consensus, there is a trade-off between security and transaction throughput.
The longer it takes to confirm a block (increasing security), the slower the network becomes due to longer confirmation times.
Conversely, faster block confirmation times result in reduced security, as the network has less time to agree on the correct block.
The GHOST protocol was designed to address this trade-off by redefining how consensus is achieved.
In the Bitcoin context, the GHOST protocol proposes that instead of only considering the "longest chain" as the valid one (as is the case with Bitcoin's PoW), additional consideration should be given to "orphaned" blocks or forks that are still significant in terms of their total computational effort.
The GHOST protocol's key idea is to include orphaned blocks in the blockchain and provide them with some weight rather than discarding them completely. This approach increases the network's overall throughput while maintaining a high level of security. It also encourages miners to include transactions in these "uncle" blocks (orphaned blocks) that might otherwise be left out due to a longer confirmation time.
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How does it work?
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The GHOST protocol is a consensus mechanism designed to address the trade-off between security and transaction throughput in blockchain networks, particularly in the context of Proof of Work (PoW) consensus.
The protocol works by redefining how consensus is achieved and by incorporating orphaned blocks (also known as "uncle" blocks) into the blockchain's confirmation process.
Here's how the GHOST protocol works:
🟢 Redefining Block Validity:
In traditional PoW blockchains like #Bitcoin, the longest chain is considered the valid one, and only blocks on the longest chain are included in the blockchain. Orphaned blocks, which are valid blocks that are not on the longest chain due to the block propagation delay, are discarded.
🟢Considering Orphaned Blocks:
The GHOST protocol departs from this approach by considering orphaned blocks as well. Instead of discarding them, the GHOST protocol assigns these orphaned blocks some weight or significance in the consensus process.
🟢Weighted Validation:
When a new block is confirmed, not only the block itself but also its orphaned ancestors (uncles) are included in the validation process.
The weight assigned to these orphaned blocks is typically less than that of blocks on the main chain but is still considered in the overall consensus.
🟢Enhancing Throughput:
By incorporating orphaned blocks into the validation process, the GHOST protocol increases the overall transaction throughput of the network.
This is because more blocks are included in the consensus process, leading to more efficient use of computational resources and faster confirmation times.
🟢Security and Decentralization:
Despite increasing transaction throughput, the GHOST protocol maintains high security. Including orphaned blocks helps incentivize miners to include transactions in their blocks even if they are aware that their block might be orphaned. This maintains a decentralized network by involving more participants and preventing the centralization of mining power.
In a way, The Ghost protocol solves this problem by using a DAG, which allows for multiple transactions to be processed in parallel.
=====
Implementations
=====
The GHOST protocol was initially proposed for Bitcoin but was not adopted due to concerns about potential security implications and the need for a major network upgrade. However, The GHOST protocol's concepts and principles have had an impact beyond its original proposal, and elements of the protocol have been integrated into various #blockchain projects, including #Ethereum's transition to a PoW/PoS hybrid consensus mechanism. $Eth at the time used to boast an average of just 13 seconds (compared to Bitcoin’s 10 minutes). To achieve this massive improvement, the Ethereum network had to abandon the “longest chain” rule in favor of the GHOST protocol.
@VitalikButerin mentions the three issues that the GHOST protocol solves for Ethereum here:
https://t.co/28qajkUmtd
1. Security breaches
2. Wastage
3. Centralization
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The Impact
=====
After the proposal of the GHOST protocol, several developments and advancements in the field of #blockchain technology occurred. While the GHOST protocol itself was not widely adopted in its original form, its principles and concepts contributed to the ongoing evolution of blockchain consensus mechanisms.
Some notable developments that followed the GHOST protocol include:
🟢 Ethereum's Casper Protocol:
Ethereum, one of the leading blockchain platforms, incorporated GHOST-like principles into its Casper protocol. Casper is a hybrid Proof of Stake (PoS) and Proof of Work (PoW) consensus mechanism that aims to improve scalability and energy efficiency. Casper integrates the ideas of including "uncle" blocks in the consensus process to enhance throughput while maintaining security.
🟢 Hybrid Consensus Mechanisms:
Inspired by GHOST and other innovative consensus protocols, various blockchain projects explored hybrid consensus mechanisms that combine different approaches to achieve a balance between security, scalability, and decentralization. These mechanisms aim to overcome the limitations of individual consensus models.
🟢 Research into Byzantine Fault Tolerance:
The GHOST protocol and similar innovations led to increased research into Byzantine Fault Tolerance (BFT) and practical Byzantine Fault Tolerant (PBFT) consensus algorithms. These algorithms focus on achieving consensus in distributed systems with faulty nodes or malicious actors.
🟢 Layer 2 Scaling Solutions:
The exploration of layer 2 scaling solutions, such as the #LightningNetwork and other state channels, gained momentum after the GHOST protocol.
These solutions aim to address the scalability challenges of blockchain networks by enabling off-chain transactions while maintaining the security of the underlying blockchain.
🟢 Proof of Stake Protocols:
The development of various Proof of Stake (PoS) protocols gained traction as an alternative to PoW-based consensus. PoS protocols aim to achieve consensus based on participants' ownership of cryptocurrency, reducing energy consumption and improving scalability.
🟢 Blockchain Research and Academia:
The GHOST protocol's impact extended to the academic community, where researchers continued to study and develop innovative consensus mechanisms to address the challenges faced by blockchain networks.
🟢 Formal Verification and Optimization: Developments in formal verification techniques, which involve mathematically proving the correctness of blockchain protocols, gained attention. These techniques help ensure the security and correctness of consensus mechanisms and other blockchain components.
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GHOSTDAG the consensus layer driving Kaspa
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In 2018, Yonatan Sompolinsky and Aviv Zohar proposed a new version of the Ghost protocol called #GhostDAG. GhostDAG addressed the security limitations of the original Ghost protocol by using a new consensus mechanism called PoW-Vote. PoW-Vote is a hybrid consensus mechanism that combines the security of Proof-of-Work (PoW) with the efficiency of Proof-of-Stake (PoS).
This made GhostDAG more secure and efficient than the original Ghost protocol or any other blockchain protocol.
Later Yonatan Sompolinsky, Aviv Zohar, and Shai Wyborski co-authored the paper PHANTOM GHOSTDAG: A Scalable Generalization of Nakamoto Consensus.
Find it here👇
https://t.co/TJgrYn1jvT
GHOSTDAG is a version of PHANTOM. To read about the path that led from PANTHOM to GHOSTDAG, read the article by Shai (Deshe) Wyborski, Kaspa — What are We Actually Doing Here?, the From PHANTOM to GHOSTDAG section. 👇 here:
https://t.co/AwLZGS2tzZ
How it works
The main idea is to use a greedy algorithm to identify and construct a significant subset of nodes in the blockchain network. This subset, referred to as a "k-cluster," is suspected to be composed primarily of honest nodes.
The process of constructing the k-cluster begins by using the greedy algorithm to sequentially build it. This is done by moving through the Directed Acyclic Graph (DAG) of blocks in the blockchain. Each block inherits the k-cluster from its predecessor, and additional blocks are added to the k-cluster until a point is reached where the k-cluster's properties are disrupted. The goal is to maintain the k-cluster property throughout the process.
As the process continues, the DAG blocks are considered one by one. The largest k-cluster inherited from the predecessor is selected for each block, and a new block is added to it. This augmented k-cluster is then used for the subsequent block. This iterative approach helps identify and maintain the largest k-cluster that adheres to the k-cluster property.
To finalize the construction, the blocks in the largest k-cluster are ordered in a canonical topological sort. This sort assigns each block a sequence number while ensuring that blocks pointing to predecessors have smaller sequences. Ties in sequence numbers are resolved in a consistent manner, often using characteristics like hash values.
For a more visual explanation:👇
https://t.co/fuMuHLGopZ
You might also want to read this:
https://t.co/B2mrQqtIbx
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Kaspa
=====
Kaspa's framework primarily addresses the challenges of speed and scalability that traditional blockchains often face. While conventional systems rely on miners to verify transactions, this approach can hinder scalability.
Kaspa seeks to enhance scalability by automating the approval process through the GhostDAG protocol, all while maintaining network security. Additionally, Kaspa is designed as a permissionless network, providing accessibility to all participants and eliminating the need for a gatekeeping administrator.
Furthermore, Kaspa tackles the issue of securely providing proof of work without compromising security. While transactions themselves are secure, the verification process requires distinct parameters and programming. Kaspa employs pruning, a technique that involves removing data older than three days from the #blockDAG. By limiting available data, Kaspa guards against vulnerabilities associated with a 51% attack. Centralized manipulation becomes extremely challenging if over 50% of the blockchain is not controlled by a single entity. Data beyond the three-day threshold is stored elsewhere to thwart hacking attempts and prevent takeovers.
The GhostDAG protocol, pioneered by Kaspa, represents a significant advancement in addressing the limitations of traditional blockchains. By incorporating K-means clustering and a greedy algorithm, GhostDAG efficiently organizes data within the chain. The combination of pruning and permissionless accessibility further enhances scalability and security.
Kaspa's innovative approach marks a milestone in the blockchain industry, offering a promising solution to speed, scalability, and security challenges.
The key differences between the Ghost protocol and the GhostDAG protocol:
🟢Data structure:
The Ghost protocol uses a DAG as its underlying data structure, while the GhostDAG protocol uses a modified DAG called a GhostDAG. The GhostDAG is more efficient than the original DAG and addresses some of the security limitations of the original DAG.
🟢Consensus mechanism:
The Ghost protocol uses a Proof-of-Stake (PoS) consensus mechanism, while the GhostDAG protocol uses a hybrid consensus mechanism called PoW-Vote. PoW-Vote is more secure than PoS and addresses some of its efficiency limitations of PoS.
🟢Scalability:
The Ghost protocol is not as scalable as the GhostDAG protocol. This is because the Ghost protocol only allows for a limited number of transactions to be processed per second. The GhostDAG protocol, on the other hand, can process a much higher number of transactions per second.
🟢Security:
The GhostDAG protocol is more secure than the Ghost protocol. This is because the GhostDAG protocol uses a more secure consensus mechanism.
For more in-depth here’s Kaspa Ghostdag 101 workshop with Shai 👇
https://t.co/tXrbf91FAK
So Ghost Protocol revolutionized blockchain in the last 10 years.
GhostDag is revolutionizing blockchain in the present
What about the future?
👇👇👇👇
=====
Dag Knight
=====
The #DAGKNIGHT Protocol, written by Michael Sutton and Yonatan Sompolinsky, is a three-year work of genius and consensus upgrade for Kaspa’s PHANTOM GHOSTDAG Protocol. KNIGHT was set in motion with the goal of resisting 50% attacks without knowing the network latency ahead of time.
You can find that paper here:👇
https://t.co/AFLivzrGUV
The team behind DAG KNIGHT is composed of highly skilled professionals from various fields, including computer science, cryptography, and distributed systems. They are dedicated to continuously improving and advancing the protocol, and have gained support from prominent investors in the cryptocurrency industry. Their expertise and commitment make them a strong driving force for the success of DAG KNIGHT
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What is DAG KNIGHT
=====
DAGKnight is a permissionless, parameterless DAG-based consensus protocol that is designed to be secure against any attacker with less than 50% of the computational power in the network.
DAGKnight is an evolution of the PHANTOM paradigm, which is a parameterized generalization of the Nakamoto Consensus. Unlike other DAG-based protocols, DAGKnight does not assume any upper bound on the network's latency.
This makes DAGKnight more responsive to network conditions and allows it to tolerate a wider range of adversarial behaviors.
Here you can watch Yonatan talk about the protocol 👇
https://t.co/jODnNzrUlU
=====
Why was it developed?
=====
DAG KNIGHT is a protocol designed to address network delay and security vulnerabilities in blockchain networks, particularly focusing on the challenges posed by 50% or 51% attacks.
It aims to dynamically adjust block confirmation times based on real-time network conditions, allowing for more adaptive and secure blockchain operations.
🟢Network Latency and Security Challenges:
Most blockchain protocols assume a fixed parameter for network delay, which can result in slower block confirmation times to ensure security and stability. However, this conservative approach leaves blockchains vulnerable to attacks if latency spikes.
A 50% attack becomes easier to execute when network latency increases as the required ownership percentage for control decreases.
Existing blockchains often sacrifice confirmation speed to account for potential network health issues by setting a predefined network delay parameter.
🟢DAG KNIGHT's Adaptive Solution:
DAG KNIGHT is designed to actively monitor and respond to real-time network conditions, dynamically adjusting block confirmation times as needed. Unlike protocols with fixed parameters, DAG KNIGHT evaluates the actual state of the network to determine latency and adjusts block confirmations accordingly. This adaptive approach enhances both security and efficiency.
🟢Evaluation Process:
The protocol starts by analyzing groups of blocks known as k-clusters, which are sampled from the Directed Acyclic Graph (DAG) of the blockchain. These k-clusters represent segments of the blockchain's history. DAG KNIGHT selects a valid k-cluster with the highest network delay that covers at least 50% of the network. This valid k-cluster serves as a reference point for adjusting block confirmation times.
🟢Dynamic Adjustment:
With the chosen valid k-cluster, DAG KNIGHT adjusts the block confirmation times to counter potential attacks while maintaining a reasonable transaction throughput. The protocol continually seeks the lowest latency valid k-cluster that covers at least 50% of the network. This dynamic adjustment ensures that block confirmations are optimized for the current network conditions, enhancing security without sacrificing efficiency when the network is healthy.
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Advantages of DAG KNIGHT
=====
🟢Adaptive Security:
DAG KNIGHT offers adaptive security by evaluating real-time network conditions and adjusting block confirmation times accordingly. This ensures that security remains robust even during periods of increased latency or potential attacks.
🟢Optimized Efficiency:
The protocol strikes a balance between security and efficiency by dynamically adjusting block confirmations. It allows the blockchain to operate efficiently with favorable network conditions without compromising security.
🟢 Future-Proofing:
DAG KNIGHT is designed to adapt to advancements in internet infrastructure. As the internet improves and latency decreases, the protocol remains effective without being constrained by fixed parameters.
🟢 Layered Security:
By analyzing valid k-clusters and referencing honest nodes, DAG KNIGHT adds an extra layer of security to the existing GHOSTDAG protocol.
🟢 Self-Stabilization:
Even when GHOSTDAG experiences excessive delays, KNIGHT remains functional, adapting to maintain security at the cost of transaction speed.
Implementations
DAG KNIGHT protocol offers a range of potential use cases and implementations that could significantly impact various industries in the future. Its unique combination of fast transaction speeds, low fees, and adaptive security features make it a versatile solution with widespread applications:
✳️ Micropayments and Microtransactions:
DAG KNIGHT's fast confirmation times and low fees are ideal for handling micropayments and microtransactions. This could enable seamless and cost-effective transactions for small amounts, opening up opportunities for new business models and services.
✳️ Decentralized Exchanges:
The protocol's efficiency and security could be leveraged in decentralized exchanges (DEXs). DAG KNIGHT could power direct peer-to-peer cryptocurrency trading without relying on a centralized authority, promoting transparency and reducing the need for intermediaries.
✳️ Supply Chain Management:
DAG KNIGHT's ability to secure transactions and verify data could be applied to supply chain management. Businesses could use the protocol to track and authenticate the movement of goods through the supply chain, ensuring transparency and reducing fraud.
✳️ Financial Services:
DAG KNIGHT's rapid transaction processing in the financial sector could streamline payment processing, remittances, and cross-border transactions. Its efficiency and low fees could lead to cost savings and improved accessibility to financial services.
✳️ Digital Identity and Authentication:
The protocol's secure and efficient transaction processing could contribute to digital identity solutions. It could be used to verify and authenticate user identities, reducing the risk of identity theft and fraud.
✳️ Internet of Things (IoT):
DAG KNIGHT's fast transaction speeds as the IoT ecosystem grows could facilitate secure and immediate data transfers and payments between IoT devices, enabling seamless interactions and transactions in smart environments.
✳️ Content Distribution and Copyright Protection:
DAG KNIGHT's capabilities could also be harnessed for content distribution and copyright protection. Artists and content creators could use the protocol to securely and directly sell digital content, ensuring proper compensation and copyright enforcement.
✳️ Gaming and Virtual Economies:
The protocol's speed and efficiency could benefit online gaming and virtual economies. It could support in-game transactions, virtual asset trading, and rewards systems, enhancing the gaming experience and economic interactions.
✳️ Healthcare Data Management:
DAG KNIGHT's secure and tamper-proof nature could be applied to healthcare data management. Patient records and medical information could be securely stored and shared while ensuring data integrity and privacy.
✳️ E-commerce and Online Transactions:
Efficient transaction processing could improve the e-commerce experience by enabling faster and cheaper online payments, reducing cart abandonment rates and enhancing customer satisfaction.
In the broader context, DAG KNIGHT has the potential to reshape multiple industries by providing a secure, efficient, and adaptable transaction processing solution. Its ability to handle various use cases, coupled with the ongoing advancements in blockchain technology, positions it as a promising protocol with far-reaching implications for the future of digital transactions and decentralized systems.
Implementation in Kaspa
Implementing DAG KNIGHT in Kaspa would bring several significant advantages and elevate the platform to new heights in the blockchain landscape. The integration of DAG KNIGHT's innovative features and capabilities would address key challenges and position Kaspa as a powerful solution with enhanced security, scalability, and efficiency.
=====
Conclusion
=====
Over the span of a decade, the remarkable synergy of brilliant minds and relentless research efforts has been channeled into the creation of Kaspa. With unwavering determination, a dedicated team of experts, developers, and visionaries has embarked on a transformative journey to revolutionize the blockchain landscape.
Ten years of meticulous exploration, experimentation, and innovation have culminated in the birth of Kaspa—an embodiment of their collective commitment to overcoming the limitations of traditional blockchains.
This remarkable journey has witnessed the convergence of cutting-edge technologies, intricate algorithms, and a deep understanding of blockchain's potential to reshape industries and empower individuals.
Kaspa is a testament to the tireless dedication and visionary thinking that have been poured into its development, ushering in a new era of blockchain technology with the promise of enhanced speed, scalability, security, and adaptability.
Not just a team of developers
The minds shaping Kaspa are not simply developers but a formidable assembly of distinguished professors and researchers who have left an indelible mark on the academic landscape. Their names resonate through numerous peer-reviewed academic papers and pioneering research contributions.
Take an example of this here: https://t.co/Ijur6UlHh3
These remarkable individuals bring a wealth of knowledge and expertise from years of unraveling intricate complexities and pushing the boundaries of technological innovation. Their extensive academic pursuits and prolific publications underscore their dedication to advancing the frontiers of blockchain technology. The team's fusion of academic rigor and practical application propels Kaspa to new heights, bridging the gap between theoretical excellence and real-world impact. Their collective pursuit of excellence serves as the foundation upon which Kaspa stands—a testament to the fusion of academia and innovation, poised to redefine the future of blockchain technology.
Doing this on my phone so it’s a little rough but this looks like fair game to me.
Cup and handle, breakout, retest… then off to the races… we’re at the retest part, if true…
On your marks, get set… go?
$KAS #Kaspa@KaspaCurrency
@Polype01 @getcode@ted_livingston $KIN was killed - people (and apps) won’t trust it anymore, IHMO it would’ve been better to continue with the fork $bits … what a mess :-)
I want to make the wishes of 5 #Binance users come true over the holidays.
How to share your wish:
🔸Retweet
🔸Follow @Binance & @cz_binance
🔸Tweet your wish with the hashtags #MyCryptoWish & #Binance & tag a friend
Our team will pick the winners. Bonus points for creativity!
$KIN cryptocurrency that runs on $SOL
A non-technical, non-financial introduction to one of the best up and coming projects out there.
Pass it along. 🙏
https://t.co/IIIg4a6cmh