人工智能中的区块链集成：好处、应用和研究挑战.docx

Nowadays block chain and artificial intelligence are the two emerging technologies. Both strategies

bring change to the market, but the level of creativity and complexity varies. Block chain is a

decentralized and distributed ledger technology which is used for storing information in multiple

locations without any centralized monitoring system. Artificial intelligence imitates the problem-solving

capability of human mind and decision making abilities by using computers, data, and sometimes

machines. When both technologies are merged, their formed new opportunities and possibilities from the

advantages of both, like productivity gain and the security and transparency. The convergence of AI

with blockchain technology can bring a wide change in businesses by securing data, transparent data,

and making it overall efficient. One of the most useful concepts of the two technologies is in cyber

security. The technologies, which combine the capabilities of AI with the block chain's dependable,

target the AI sector were collected and summarized. In addition, Open research issues concerning the

use of blockchain technology for AI are addressed.

Index terms: Blockchain, Artificial Intelligence, cyber security, smart grid, Consensus

linked, they open up new possibilities, allowing an entirely new set of apps to benefit from the

advantages of both, like productivity gain and the security and transparency. The merged blockchain

and AI can create machine learning algorithms that are intelligent for making decisions that generate

extremely trustworthy outputs causing exact real-world actions based on immutable, impermeable data.

In total, 90 unique papers on this topic were considered for this review. The advantages in integrating of

permission-less, trustless digital transactions. Cyber security is another field which has impact on

integration of AI with block chain. AI and blockchain will act as a twofold defense against cyber threats.

data transactions, and information through a decentralized, secure, and transparent system. Smart

contracts on blockchain technology may not require a central authority to govern interactions with users.

AI, enhances the ability of boosting to reasoning and making decisions. However, merging these two

technologies could result in a significant shift in the market. Both technologies are cutting-edge, but by

integrating them, tasks might be accomplished faster and with less effort. This realization prompted an

inquiry into a systematic evaluation of blockchain and AI combo papers published between 2012 and

2022.

analyze, and find links between data fast and completely.

thresholds and events to conduct transactions like reorders, payments, or inventory purchases, as well as

urge expired products to be recalled. Furthermore, AI systems may be useful in detecting fraudulent

behavior on the blockchain. As a result, AI and blockchain can collaborate to expand and automate

transaction evaluation steps.

new business models, strengthen organizational structure operational efficiencies, assist individuals in

automating repetitive tasks, enable more secure and improved decision-making processes, and increase

overall confidence and Transparency in key structure and systems of commerce is essential. The

industries to strengthen security, banking, retail, transit, and education. Blockchain technology emerged

very late, with Satoshi Nakamoto's Bit coin proposal in 2008.

Blockchain has concerns about consumption of energy, adaptability, safety, confidentiality, and

effectiveness, whereas AI has problems about accessibility and performance. They can be connected and

benefited from natural integration as two independent study paths.

industries. Here all employees are given complete access to the contents of databases. As an outcome, a

new type of private blockchain is emerging, in which control is kept by a single union, and no one can

access the network without a legitimate identity. Private block chains mimic centralized networks, but

they give all benefits of the distributed systems while keeping overall control to improve privacy.

kept by only one organization and no one may access the network unless they have a verified

identification. Private block chains are similar to centralized networks, but they provide all of the

distributed benefits while maintaining overall control, improving privacy, and avoiding many of the

computing cannot match AI's potential to boost blockchain efficiency.

will take the lead to monitor their accounts. The following are examples of common consensus

mechanisms:

1. The basic consensus technique is the proof of work (PoW), and all nodes that are participating

2. In the case of the proof-of-stake (PoS) mechanism, the more resources have and the longer keep the

to utilizing two different keys to unlock and close namely the public key and the private key. The private

key must be safe, if it is lost means assets are lost. The blockchain is relatively safe because the public

key and private key are generated through several transformations.

nodes from causing harm, new block with data in the blockchain uses the PoW consensus process must

be unanimously acknowledged and agreed upon by the majority of nodes, with at least 51% of the nodes

agreeing. As a result, tampering with data is tough.

these patterns to anticipate future states.

Artificial intelligence programming focuses on cognitive abilities like the ones listed below: