Distributed secure trading platform: Deep learning

Distributed secure trading platform: Deep learning

Glossary

Term DefinitionDistributed ledger technology (DLT)A mechanism for replicating, sharing and synchronizing data on multiple computers or network nodes. BlockchainA distributed ledger technology that links data blocks together in chronological order and uses cryptography to ensure security. Single transaction block (STB)A block structure that contains only a single transaction record, used to improve efficiency and flexibility. Micro identifier chain (MIDC)An independent blockchain that stores user identity information and personal data for enhanced privacy protection. Micro identifier chain arrayA data storage structure formed by stacking multiple MIDCs, similar to the function of traditional databases. Chained array data storageA distributed database composed of multiple MIDC arrays, with high security and scalability. Public blockchainAn open blockchain network that anyone can participate in. Private blockchainA closed blockchain network with limited participants, usually used within enterprises. Hybrid blockchainA blockchain network that combines the characteristics of public and private blockchains. Smart contractA self-executing contract stored on a blockchain that is automatically executed when preset conditions are met. Decentralized application (DApp)An application built on a blockchain network that is decentralized, transparent and secure. Zero Trust A security architecture that does not trust any user or device by default and requires authentication and authorization to access resources. Chain Poisoning An attack that compromises the integrity of a blockchain by inserting malicious data into it. Data Privacy Individuals have control over their personal information, including the right to collect, use, disclose, and delete it. General Data Protection Regulation (GDPR) A data protection law enacted by the European Union to protect the personal data of EU citizens. California Consumer Privacy Act (CCPA) A data protection law enacted by the state of California, USA, to protect the personal data of California residents. Biometric Identification Uses unique biometric features (such as fingerprints, facial recognition, iris scans) to identify and verify the identity of users. Anti-poisoning module A module used to detect and block malicious data from entering a blockchain network. Proof of Transaction Consensus A consensus mechanism that confirms transactions by verifying their validity without waiting for confirmation from all nodes. Partitioned RAFT (P-RAFT) A distributed consensus algorithm that divides a blockchain network into multiple partitions, each of which is managed by a leader node. Short Answer Question

Explain the difference between a single transaction block (STB) and a traditional blockchain structure.

Traditional blockchains typically pack multiple transaction records into a block, while STBs only contain a single transaction record. This design improves transaction processing efficiency and allows for more granular control over individual transactions, such as modification or deletion.

How does the micro-identifier chain (MIDC) enhance user privacy protection?

MIDC stores a user's identity information and personal data on an independent blockchain rather than on a public blockchain. This isolation limits access to sensitive information and allows users to better control how their data is shared.

Describe the structure and advantages of chained array data storage.

Chained array data storage is formed by stacking multiple MIDCs, similar to the row-column structure of a traditional database. This structure allows efficient data query and management while retaining the security and immutability of the blockchain.

Explain the application of the "zero trust" security architecture in the platform.

The platform adopts a zero trust architecture and does not trust any user or device by default, including internal networks and systems. All access requests require authentication and authorization to minimize security risks.

Describe how the platform utilizes biometric recognition technology.

The platform can use biometric recognition technology for user authentication, such as using fingerprints, facial recognition, or iris scanning to log in to an account or authorize transactions. This approach is more secure and convenient than traditional password authentication.

Explain how the platform achieves compliance with data privacy laws such as GDPR and CCPA.

The platform has a built-in data privacy compliance module that automatically applies the corresponding regulations, such as GDPR or CCPA, based on the user's geographic location. The module also provides data encryption, access control, and deletion capabilities to ensure the security and compliance of user data.

Explain how the transaction proof consensus mechanism works.

The transaction proof consensus mechanism confirms transactions by verifying the validity of the transaction without waiting for confirmation from all nodes. This approach can significantly increase the speed of transaction processing because it does not require the network to reach consensus.

Describe how the anti-poisoning module prevents chain poisoning attacks.

The anti-poisoning module uses multiple technologies to detect and block malicious data from entering the blockchain network, such as image and text analysis, malware detection, and abnormal behavior analysis. If suspicious activity is detected, the module blocks the transaction and alerts the administrator.

Explain how the platform resolves the contradiction between the immutability of blockchain data and the need to delete user data.

The platform resolves this contradiction by storing user data on MIDC and using encryption technology. When users request to delete data, the platform can delete or modify the relevant data on MIDC without affecting the integrity of the public blockchain.

Describe how the platform handles transaction disputes.

The platform provides a transaction dispute module that allows users to submit disputes and provide evidence. The module acts as a central autorità to evaluate the evidence and make a ruling on the dispute. If necessary, the module can instruct the platform to modify the relevant transaction records to reflect the dispute resolution results.

Paper Title

Evaluate the effectiveness of the single transaction block (STB) architecture in improving blockchain transaction throughput and compare it with other blockchain architectures, such as Bitcoin and Ethereum.

Analyze the advantages and limitations of the micro identifier chain (MIDC) in enhancing user privacy protection and explore its applicability in different application scenarios.

Evaluate the effectiveness of the platform's zero-trust security architecture in resisting common cyber attacks, such as denial of service attacks, data breaches, and malware infections.

Analyze the challenges and opportunities faced by the platform in achieving compliance with global data privacy regulations and explore its impact on cross-border data transmission and processing.

Evaluate the potential and limitations of the platform in different use cases, such as supply chain management, digital identity, and financial services, and analyze its impact on existing business processes and systems.