Deep Learning-Based Adaptive Online Intelligent Framework for a Blockchain Application in Risk Control of Asset Securitization

Deep Learning-Based Adaptive Online Intelligent Framework for a Blockchain Application in Risk Control of Asset Securitization

Liuyang Zhao, Yezhou Sha, Kaiwen Zhang, Jiaxin Yang
Copyright: © 2023 |Pages: 21
DOI: 10.4018/IJDWM.323182
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Abstract

Blockchain and distributed ledger technologies have attracted massive attention from both legal communities and businesses. Asset securitization is the procedure in which an issuer designs a financial instrument that is marketable by combining or merging different financial assets into one group. However, most securitization occurs with loans and other assets that generate receivables, such as consumer or business debt of various types. This article discusses the possible benefits of blockchain during the securitization process using the deep learning-based adaptive online intelligent framework (DLAOIF). The benefits can be significant, from reduced costs, time, and fraud risks to increased safety, trust, and accuracy. Tracking financial assets on a blockchain can reduce dependence on credit rating organizations and allow investors to monitor asset performance and the associated risk more carefully. It should improve investor confidence and increase secondary market interest.
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Introduction: Outline About The Blockchain And Its Importance

Blockchain technology includes decentralization, distribution, and validation characteristics. It is a low-level interface technology that offers stable and efficient data safety storage (Cohen et al. 2017) and control of access in a centralized network system (Wu & Duan. 2019) for network applications. In the context of block chain technology, the term “low-level interface technology” refers to the underlying technical infrastructure that makes it possible for the block chain network to be dispersed and decentralized.

This covers the protocols and algorithms that allow for the generation, validation, and verification of blocks of data, as well as the procedures for guaranteeing consensus among participants in the network without the need for a central authority to oversee the process.

The block chain network's safety as well as its integrity is protected by the low-level interface technology, which also incorporates the data structures and cryptographic procedures necessary for this purpose.

In a nutshell, the low-level interface technology that is utilized in block chain technology serves as the basis upon which the distributed, decentralized, and verifiable characteristics of the block chain network are constructed.

Blockchain technology is a distributed platform that includes IT encryption (Zhao. 2019), artificial intelligence, centralized cloud, Big data analytics, and security data protection (Hofmann et al. 2018; Shakeel. 2019; Dhote et al. 2019). Block chain’s decentralized architecture uses encryption technologies to keep network apps secure during user access. Encryption is the process of encoding data so that it can only be read again with an appropriate key or password. Encryption is employed in the context of block chain technology to safeguard things like user credentials and transaction details.

Block chain technology uses encryption to restrict network access to only those who have the necessary keys or passwords. This aids in warding off potential security concerns like hacking and data leaks.

While data is stored on several nodes in the network, block chain technology makes it harder for hackers to break into the system. Encrypted data stored on other nodes in the network will stay secure even if one of those nodes is compromised, preventing any data loss or theft.

Secure access control to network applications and the continued security of the system rely heavily on the usage of IT encryption in the distributed platform of block chain technology.

It has obtained significant attention from financial industry experts due to its health, efficiency, convenience, and a variety of other advantages (Zhao & Meng. 2019; Huawei Zhao et al. 2018). The benefits of employing experts in the financial sector are manifold.

Knowledge and experience: professionals in the financial sector have extensive training and experience, allowing them to advise and assist customers effectively.

Intelligence from the market: Financial industry experts keep abreast of market shifts, regulatory shifts, and other things that can affect their field so they can give their clients the best possible guidance at all times.

Specialists in the financial industry: they can tailor their services to the individual requirements of their customers. Financial specialists are able to cater their services to the specific requirements of their clients by providing advice on investments, assisting with money management, and providing strategic planning services.

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