Vinjamuri Lakshmi Priya, A. A, Aditya Chahar, A. A.
{"title":"Artificial Intelligence as a Tool for Enhanced Data Integrity and Data Security","authors":"Vinjamuri Lakshmi Priya, A. A, Aditya Chahar, A. A.","doi":"10.1109/AISC56616.2023.10085250","DOIUrl":null,"url":null,"abstract":"The present era of \"big data analytics and management\" requires a robust and impenetrable system to deal with the issues of data integrity and security. If data is altered or deleted without sufficient audit trails, a corporation loses its most valuable asset. This has major repercussions on the use of available data and the conclusions drawn from such use. It is commonly said that \"data is money\" and that such information is crucial to the success of any business. For this reason, it is crucial to ensure that data is stored safely and securely. This is true no matter what sector a firm resides in.Hence, data management requires a solution that can guarantee simultaneously the security and integrity of data, as both are administratively intertwined for enforcement.The present article is an attempt at identifying the various sectors in general where in the tools of Artificial intelligence AI, contributes towards an effective data integrity and security as also on the lacunae and missing aspects that have to be addressed to overcome the hindrances in the use of AI tools.","PeriodicalId":408520,"journal":{"name":"2023 International Conference on Artificial Intelligence and Smart Communication (AISC)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference on Artificial Intelligence and Smart Communication (AISC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AISC56616.2023.10085250","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The present era of "big data analytics and management" requires a robust and impenetrable system to deal with the issues of data integrity and security. If data is altered or deleted without sufficient audit trails, a corporation loses its most valuable asset. This has major repercussions on the use of available data and the conclusions drawn from such use. It is commonly said that "data is money" and that such information is crucial to the success of any business. For this reason, it is crucial to ensure that data is stored safely and securely. This is true no matter what sector a firm resides in.Hence, data management requires a solution that can guarantee simultaneously the security and integrity of data, as both are administratively intertwined for enforcement.The present article is an attempt at identifying the various sectors in general where in the tools of Artificial intelligence AI, contributes towards an effective data integrity and security as also on the lacunae and missing aspects that have to be addressed to overcome the hindrances in the use of AI tools.