國立虎尾科技大學 |

DSA-API = Data Standardization Automation Using AI-Powered APIs /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	DSA-API/ Andrew Turner.
其他題名:	Data Standardization Automation Using AI-Powered APIs /
作者:	Turner, Andrew,
面頁冊數:	1 electronic resource (139 pages)
附註:	Source: Masters Abstracts International, Volume: 86-12.
Contained By:	Masters Abstracts International86-12.
標題:	Information technology. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=32047611
ISBN:	9798315796657

DSA-API = Data Standardization Automation Using AI-Powered APIs /
Turner, Andrew,

DSA-APIData Standardization Automation Using AI-Powered APIs / [electronic resource] :Andrew Turner. - 1 electronic resource (139 pages)

Source: Masters Abstracts International, Volume: 86-12.

The common factor with current implementations of Artificial Intelligence (AI) is data. Companies are constantly looking for new ways to analyze data, but it comes in various formats: Text, Comma Separated Value (CVE), JavaScript Object Notation (JSON), Extensible Markup Language (XML), and Excel. How can AI be adapted to standardize formats for data analysis, integration, and digestion efficiently? Published research acknowledged that Machine Learning (ML) and AI can provide an automated method to speed up this process and limit the human decision-making error. With the advancement in AI, Application Programming Interfaces (APIs) prompt the idea that they can take in raw data as input into an AI platform and standardize the data for Large Language Model (LLM) algorithms. This research aims to standardize raw data using AI APIs, gather Open-Source Intelligence (OSINT) data to augment the raw data, and utilize the standardized data and OSINT for LLM ingest. Research results show that AI APIs can be used to standardize raw data by including various methods to reach this goal. This research demonstrated OSINT techniques to gather data and utilizing it for LLM algorithms. A LLM with ingesting a standardized dataset and OSINT data can be presented with specific questions to generate a response. In this research, the results depict a list of specific cyber-attacks that could be viable based off of the ingested data. Access to this information, when combined with knowledge of AI APIs and OSINT, provides an opportunity to create a process for standardizing raw data and exploiting the intelligence of LLMs.

English

ISBN: 9798315796657Subjects--Topical Terms:

559429
Information technology.
Subjects--Index Terms:

Cyber attacks

DSA-API = Data Standardization Automation Using AI-Powered APIs /
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