
- Blockchain - Home
- Blockchain - Introduction
- History of Blockchain
- Blockchain - Technology
- Blockchain and Cryptography
- Blockchain Beyond Crypto
- Blockchain - Advanced Concepts
- Blockchain - Decentralization
- Blockchain - D-Apps
- Blockchain - DeFi
- Blockchain - Future Scope
- Smart Contracts in Blockchain
- Blockchain - Ricardian Contracts
- Blockchain - Oracles
- Blockchain - DAO
- Bitcoin
- Bitcoin - Invisible Gold
- How Bitcoin Works?
- Bitcoin - Network
- Bitcoin - Wallets
- Bitcoin - Innovations
- Ethereum
- Ethereum Alternate Cryptocurrency
- Ethereum Ecosystem
- Ethereum Virtual Machine
- Advanced Ethereum
- Ethereum Wallets
- Ethereum Miner Nodes
- Miscellaneous
- Blockchain - Double Spending
- Public Key Cryptography
- Blockchain - Hashing
- Bitcoin - Mining
- Blockchain - Chaining Blocks
- Blockchain - Proof of Work
- Blockchain - Network & Mining
- Blockchain - Incentives to Miners
- Blockchain - Merkle Tree
- Blockchain - Payment Verification
- Blockchain - Resolving Conflicts
- Blockchain - Privacy
- Bitcoin - Mitigating Attacks
- Blockchain - Conclusion
Blockchain - Advanced Concepts
The advanced blockchain concepts contain topics like the CAP theorem, consensus in blockchain, cryptographic primitives, data structures in blockchain, block and block header. These concepts are to be understood after completing the basic concepts and terminologies of blockchain technology and cryptography.
CAP Theorem: What and how?
The CAP theorem is frequently discussed in the context of blockchain technology. This theorem highlights that a distributed system can only achieve two out of the three desired characteristics: consistency, availability, and partition tolerance. It asserts that it is impossible for a distributed system to simultaneously provide all three guarantees: consistency, availability, and partition tolerance. The C, A, and P in CAP stand for −
- Consistency − All users must see the same information at the same time, regardless of the computer they are using. To achieve this, any information added to one computer must be immediately sent to all other computers in the system for storage.
- Availability − Users should receive a response when requesting information, even if some computers are not functioning. Every computer in the system should respond to any request made.
- Partition Tolerance − If a connection between two computers is lost, it is considered a partition. Partition tolerance ensures that the system continues to operate even if there are issues with connections between computers.

In the context of blockchain systems, the CAP theorem is significant as it helps in understanding the compromises that need to be made during blockchain design. For instance, prioritizing consistency may result in reduced availability or weaker handling of network partitions. Conversely, prioritizing availability and partition tolerance may impact consistency.
What is Byzantine General's Problem?
The consensus mechanism plays a vital role in any blockchain architecture, as it guarantees the preservation of trust, agreement, and security within a decentralized network of computers. One of the primary challenges that consensus mechanisms address is the Byzantine generals problem, which pertains to achieving consensus in a distributed system. Various consensus mechanisms are available, each presenting its own set of benefits and drawbacks. Commonly utilized mechanisms include proof of work (PoW), proof of stake (PoS), delegated proof of stake (DPoS), and practical Byzantine fault tolerance (PBFT). The choice of a consensus mechanism is influenced by the specific needs of the blockchain network and the necessary trade-offs among security, scalability, and energy efficiency.
The Byzantine generals problem, derived from a historical scenario involving the Byzantine army, is a computer science dilemma concerning the attainment of consensus in a decentralized environment where some participants may exhibit faults or malicious behavior. In such scenarios, ensuring that all nodes agree on a specific matter, such as the value of a transaction within a blockchain, becomes complex, especially when certain nodes may provide misleading or contradictory information. The lack of secure communication channels introduces the risk of a single point of failure, known as a Byzantine fault, where components may malfunction, and there is uncertainty regarding whether a component has indeed failed.
A blockchain seeks to address this issue by establishing a layer of trust that does not require trust in every individual. Miners and validators play a crucial role in this system. Their objective is to add new entries to the ledger by following the rules of the game. One common consensus mechanism used to tackle the Byzantine generals problem is PoW. In PoW, network nodes compete to solve a cryptographic puzzle, with the first successful node adding the next block to the chain. Subsequently, other nodes validate this block, and upon reaching a consensus on its validity, add it to their ledger. This process ensures a decentralized and secure method of achieving consensus on the system's status.
Another prevalent consensus mechanism is PoS. In PoS, nodes are selected to validate transactions based on the cryptocurrency they hold and are willing to stake as collateral. This setup incentivizes nodes to act honestly, as any malicious behavior could result in the loss of their staked funds.
PBFT functions as a consensus mechanism utilizing a consensus protocol to determine the next block to be appended to the blockchain. Through communication between nodes, agreement is reached, and a node is only permitted to add a block to the blockchain upon receiving sufficient votes from other nodes within the network.
Consensus Mechanism
Blockchain consensus is the process by which peers in a network agree on the current state of the data. It is a critical mechanism in decentralized systems, providing trust and security for secure and confidential transactions. Without consensus, conflicting transactions would not be prevented, making it essential for the functioning of cryptocurrency blockchains. Various types of consensus mechanisms exist, each with different energy usage, security, and scalability, but all share the common goal of ensuring the integrity of records.
Here is an outline of some of the most well-known consensus mechanisms utilized by distributed systems to achieve consensus −
- PoW is the original consensus mechanism and was utilized by cryptocurrencies like Bitcoin and Ethereum. Miners compete to solve complex mathematical puzzles, and the first to solve the puzzle is permitted to create a new block and validate transactions. The successful miner is also rewarded with cryptocurrency known as a block reward. PoW is considered a secure and reliable mechanism but requires substantial computational resources and energy, resulting in high operating costs and environmental impact.
- PoS is a more environmentally-friendly alternative to PoW. In PoS, miners pledge a stake of cryptocurrency and are randomly selected to validate transactions. The more cryptocurrency a miner holds, the higher their chances of being selected. The system favors entities with a higher number of tokens, leading to centralization concerns.
- DPoS is a variation of PoS where the network users vote to select witnesses to secure the network on their behalf. Only the top tier of witnesses with the most votes can validate blockchain transactions. The witnesses are incentivized to remain honest by being at risk of being replaced by those deemed more trustworthy.
- Proof of activity (PoA) is a hybrid of PoW and PoS, used by the Decred and Espers blockchain projects. The mining process starts like PoW, with miners competing to solve a mathematical problem, then switches to PoS where validators are selected to sign off on the block header. The block rewards are shared between the miner and validators. PoA has been criticized for its energy-intensive mining phase and its partiality towards validators holding a greater number of coins.
- Proof of Authority (PoA) differs from PoS as it selects validators based on their reputation rather than staking cryptocurrency. This approach requires minimal computing power and is more resource-efficient, but it has faced criticism for its potential to concentrate power among a small number of authoritative nodes.
Cryptographic Primitives
The various categories of cryptographic primitives include the following −
- One-way Hash Functions − These are mathematical algorithms that accept a message and generate a fixed-length string of numbers known as the hash or digest. They ensure the integrity of digital data by preventing alterations. It is important to note that even a minor modification in the input can lead to a completely different hash output, a phenomenon referred to as the avalanche effect. A widely used hash function is SHA-256.
- Symmetric Ciphers − When a message is encrypted with a key, it is transformed into ciphertext, which appears readable yet lacks meaning. The same key is employed to revert the ciphertext to its original message. A key serves as a variable for both encryption and decryption, acting as a mechanism to secure or release data. Notable examples of key-based encryption algorithms include AES, DES, and Blowfish. While symmetric encryption typically offers quicker processing speeds than public-key cryptography, the challenge lies in the secure sharing of keys.
- Asymmetric Ciphers − These utilize a pair of keys, one for encrypting information (the public key) and another for decrypting it (the private key). Examples include RSA, DSA, and elliptic curve cryptography.
- Block Ciphers − These encrypt data in fixed-size blocks, such as 64 or 128 bits. They are frequently combined with hash functions to ensure the security of lengthy messages.
- Stream Ciphers − These encrypt data one bit or byte at a time, making them particularly effective for protecting real-time information such as audio or video streams.
- Digital Signatures − These provide a method to verify the authenticity of a digital message or information, confirming that it originates from the claimed sender. They employ asymmetric ciphers to create a signature that can be validated using the senders public key.
- Message Authentication Codes − These are similar to digital signatures but use symmetric ciphers to make a code that can be checked using the same secret key used to make it.
Data Structures used in Blockchain
Blockchain technology utilizes several fundamental data structures that are essential for its security and operational efficiency. At its core, a blockchain consists of two primary data structures: blocks and a linked list. The various categories of blocks include −
- The majority of blocks are designed to extend the existing primary blockchain, which is recognized as the longest chain within the network. These are termed main branch blocks.
- Conversely, some blocks may link to a parent block that is not part of the longest blockchain, and these are referred to as side branch blocks.
- Furthermore, there are blocks that connect to a parent block that is not recognized by the node processing the block; these are classified as orphan blocks.
A new block is generated in a blockchain by linking it to the preceding block via a unique identifier known as a hash. This new block contains the hash of the previous block, the new transaction details, and a random number referred to as a nonce. A block is incorporated into the blockchain only after all network computers have validated the transaction. This validation process is crucial as it ensures the transaction is permanent and immutable, a fundamental characteristic of blockchain technology. The data within the block is compressed through a method called hashing to minimize its size. Each block encompasses all confirmed transactions for a specific time frame. As additional blocks are appended, they collectively form a chain known as a blockchain, which is the structural basis for the security of the blockchain.
Features of a Blockchain
Each block within the blockchain is structured uniquely, consisting of various key components −
- Header − This section of a block contains essential metadata, such as the block's distinct identifier (block hash), a timestamp, and the hash of the preceding block in the chain. This connection between blocks forms a continuous chain.
- Transactions − Multiple transactions can be found within a block, representing the transfer of digital assets from one user to another. These transactions undergo processing and verification by network participants (nodes) before being appended to the block.
- Merkle Tree Root − To streamline the verification process of transactions within a block, a Merkle tree is utilized. This binary tree data structure enables efficient and secure verification of large data sets.
- Nonce − Miners use a nonce, a random number, to solve the cryptographic puzzle required for adding a block to the blockchain. The nonce, when combined with other block header data, generates a hash that meets the network's difficulty criteria.
- Difficulty Target − This value sets the level of difficulty for adding a new block to the blockchain. The difficulty is adjusted regularly to maintain a consistent block creation rate and prevent an overflow of blocks within the blockchain.
Header Hash and Height of Block
The blocks within a blockchain require a form of identification to distinguish them from one another. Two key parameters are utilized for this purpose −
The block header hash serves as a unique identifier, generated by hashing the block header within a blockchain. This cryptographic hashing process is performed twice, resulting in a value that encapsulates essential details about the block. These details include the timestamp of block addition, reference to the previous block, Merkle tree root summarizing transactions, random number for mining, and the difficulty target for mining. The hash is produced using a cryptographic function, ensuring that any modifications to the block header will yield a distinct hash. This hash is not stored within the block's data during transmission or within the blockchain on certain nodes.
The second parameter for block identification is its height, denoting the block's position within the blockchain. Starting from zero for the genesis block, the block height increments by one for each subsequent block. This metric is crucial for maintaining chronological order within the blockchain and determining the sequence of blocks.
Genesis Block
The initial block of a blockchain is referred to as the genesis block. This first block is of great significance, as it signifies the start of the blockchain and serves as the basis for all subsequent blocks. The genesis block of Bitcoin and other cryptocurrencies is the very first block that was mined on their respective networks. Each block within the blockchain contains information related to transactions on the network and is distinguished by a unique header. However, the genesis block differs from all other blocks in that it does not have a preceding block. It typically includes specific data, such as a timestamp and message, which is used to kickstart the blockchain.
The creation of the genesis block is a crucial moment in the development of a blockchain, as it establishes the networks fundamental rules and characteristics. These rules, such as block size and mining rewards, are set in stone once the genesis block is created and cannot be changed. As the first block of the blockchain, the genesis block also plays a vital role in shaping the narrative of the networks origins.
The decentralized nature of the Bitcoin network is one of its key features, meaning that there is no intermediary between users and the network. To ensure the validity of transactions on the network, complex mathematical problems are utilized, which are solved by computers known as Bitcoin miners. Miners are unable to trade Bitcoins until they have completely solved the mathematical puzzle. Furthermore, all transactions on the Bitcoin network are permanently recorded, making it impossible to conceal any evidence of illicit activity.
Linking of Blocks
The process of linking blocks within a blockchain is crucial for maintaining the security and integrity of the system. Each block comprises data pertaining to transactions and is connected to its predecessor through a reference known as the previous block hash. The data contained within the blocks is immutable and can be verified. These blocks are organized sequentially, forming a chain to ensure their proper arrangement. This reference functions similarly to a fingerprint, aiding in the preservation of the order of the blocks.
To generate this reference, the information within the block header undergoes a cryptographic transformation. This transformation employs a mathematical algorithm to create a unique identifier, referred to as the hash. Any alteration in the block header will result in a change to the hash, allowing other network participants to easily detect any modifications. The chain is established through cryptographic techniques, with each block containing a unique code, or hash, that connects it to the preceding block. Additionally, the hash records the timestamp of when the block was incorporated into the blockchain. Should any information within a block be modified, the hash will differ, thereby disrupting the continuity of the chain.
Merkel Tree
A Merkle tree, also known as a hash tree, is a data structure where each leaf node represents a cryptographic hash of a single data block, while each non-leaf node represents a cryptographic hash of the hashes of its child nodes. This type of tree is commonly utilized for validating transactions within a blockchain network and is highly efficient in doing so. The majority of Merkle trees follow a binary structure, with each node having only two child nodes, although some may have multiple child nodes. In the field of computer science, Merkle trees are a widely adopted form of data structure that can effectively summarize all transactions in a block through a series of hash computations.
In a Merkle tree, transactions are arranged into leaf nodes, with each leaf node containing the hash of a single transaction. The hashes of the leaf nodes are then paired and hashed again to produce a set of intermediate nodes. This process is iterated until a single hash, referred to as the Merkle root, is generated.
The Merkle root serves as a straightforward mathematical technique for verifying the information within a Merkle tree. It is included in the block header and serves as a concise summary of all transactions within the block. When a new block is appended to the blockchain, its Merkle root is incorporated into the hash of the preceding block, establishing a connection between the two blocks.

To comprehend the functioning of a Merkle tree, let us examine a straightforward illustration: Suppose there are four transactions, denoted as A, B, C, and D, within a single block. Each transaction is then transformed into a distinct string of characters (hash): Hash A, Hash B, Hash C, and Hash D. These hashes are then paired to create two new hashes: Hash AB and Hash CD.
Ultimately, these two hashes are merged to produce the Merkle root, which is Hash ABCD. Although this example simplifies the concept of a Merkle tree, the actual structure is considerably more intricate, particularly when each transaction possesses a 64-character long ID. Nonetheless, this example imparts a fundamental understanding of the algorithm's operation and its efficacy. A Merkle tree can be utilized to effectively oversee and authenticate the eligibility of participants for exclusive sales or events. The following is a detailed explanation −
Generating unique identifiers
Each participant, or potential buyer, is allocated a unique identifier, such as their Ethereum wallet address or any other distinct identifier linked to their account.
Establishing a whitelist
The organizer of the NFT sale formulates a whitelist containing the unique identifiers of participants qualified for the exclusive event. This whitelist essentially comprises a roster of addresses permitted to partake.
Hashing participant identifiers
The unique identifiers (addresses) of participants are individually hashed. This can be accomplished using a hash function (e.g., SHA-256), resulting in a hash for each identifier.
Constructing the Merkle tree
The hashed identifiers are structured into a Merkle tree format. The Merkle tree is built by pairing and hashing the individual hashes until a solitary root hash is derived.
Announcing the Merkle root
The organizer discloses the root hash of the Merkle tree. This hash functions as a succinct and secure representation of the entire whitelist.
Participant verification
Participants interested in the NFT sale can check their eligibility by hashing their identifier and comparing it to the published Merkle root. If the hash matches, the participant is on the whitelist.
Efficient verification process
Verifying eligibility through the Merkle tree is computationally efficient. Participants do not need to reveal their identifier; they only need to present the hashed value. This ensures privacy while allowing efficient validation.
Event Access
During the NFT sale or event, only participants with identifiers on the whitelist (matching the Merkle root) are granted access. This creates an exclusive environment for whitelisted participants