FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4281723257> ?p ?o ?g. }

• W4281723257 endingPage "272" @default.
• W4281723257 startingPage "268" @default.
• W4281723257 abstract "Preventing the leak of sensitive information, also popularly known as data leak or data loss to an unauthorized recipient, is the primary goal of an organization's information security system. A data leak can occur through multiple channels. While it may not always be possible to prevent it entirely, measures can be taken to minimize the possibility of the occurrence. Like all other financial institutions, TI companies collect sensitive personal information of their customers for business purposes. This information is often categorized into three primary types; NPI, PII, and PI are the designated types in the descending order of sensitivity. The detection of sensitive documents and redaction of sensitive information is required if it is needed to be shared. Inspection of such digital documents to find any sensitive information is by far a human-driven process, and thus time-consuming and costly. An and costly. An intelligent and robust system is required where the content is analysed by state-of-the-art data mining, statistical and machine learning techniques from various data dimensions. An AI based self-learning Intelligent Information Leak Protection System using LSTM is proposed in the project that mines and extracts information and categorizes the document images, to SD or NSD, based on the presence of NPI and PII semantic signatures without any explicit rule configuration. The system is designed to be used proactively as an early warning system to tag the SD images while resting in the data store. It can also act as a real-time checkpoint for the information loss by the documents in transit or use. The proposed model prescribes an information loss protection mechanism using a binary classifier based on the state-of-the-art LSTM technique within the paradigm of Artificial Intelligence." @default.
• W4281723257 created "2022-06-13" @default.
• W4281723257 creator A5002581364 @default.
• W4281723257 creator A5005932649 @default.
• W4281723257 creator A5008582117 @default.
• W4281723257 creator A5012255964 @default.
• W4281723257 date "2022-06-10" @default.
• W4281723257 modified "2023-10-14" @default.
• W4281723257 title "AI Based Self Learning Intelligent Information Leak Protection System for TI Companies using LSTM" @default.
• W4281723257 cites W2886175066 @default.
• W4281723257 cites W2922609652 @default.
• W4281723257 cites W3093600010 @default.
• W4281723257 doi "https://doi.org/10.48175/ijarsct-4595" @default.
• W4281723257 hasPublicationYear "2022" @default.
• W4281723257 type Work @default.
• W4281723257 citedByCount "0" @default.
• W4281723257 crossrefType "journal-article" @default.
• W4281723257 hasAuthorship W4281723257A5002581364 @default.
• W4281723257 hasAuthorship W4281723257A5005932649 @default.
• W4281723257 hasAuthorship W4281723257A5008582117 @default.
• W4281723257 hasAuthorship W4281723257A5012255964 @default.
• W4281723257 hasBestOaLocation W42817232571 @default.
• W4281723257 hasConcept C111919701 @default.
• W4281723257 hasConcept C127413603 @default.
• W4281723257 hasConcept C137822555 @default.
• W4281723257 hasConcept C154945302 @default.
• W4281723257 hasConcept C2780378346 @default.
• W4281723257 hasConcept C38652104 @default.
• W4281723257 hasConcept C41008148 @default.
• W4281723257 hasConcept C87717796 @default.
• W4281723257 hasConcept C98045186 @default.
• W4281723257 hasConceptScore W4281723257C111919701 @default.
• W4281723257 hasConceptScore W4281723257C127413603 @default.
• W4281723257 hasConceptScore W4281723257C137822555 @default.
• W4281723257 hasConceptScore W4281723257C154945302 @default.
• W4281723257 hasConceptScore W4281723257C2780378346 @default.
• W4281723257 hasConceptScore W4281723257C38652104 @default.
• W4281723257 hasConceptScore W4281723257C41008148 @default.
• W4281723257 hasConceptScore W4281723257C87717796 @default.
• W4281723257 hasConceptScore W4281723257C98045186 @default.
• W4281723257 hasLocation W42817232571 @default.
• W4281723257 hasOpenAccess W4281723257 @default.
• W4281723257 hasPrimaryLocation W42817232571 @default.
• W4281723257 hasRelatedWork W1986566755 @default.
• W4281723257 hasRelatedWork W2017710879 @default.
• W4281723257 hasRelatedWork W2024257543 @default.
• W4281723257 hasRelatedWork W2148236631 @default.
• W4281723257 hasRelatedWork W2385157860 @default.
• W4281723257 hasRelatedWork W2886069578 @default.
• W4281723257 hasRelatedWork W2917223971 @default.
• W4281723257 hasRelatedWork W2965732590 @default.
• W4281723257 hasRelatedWork W93675726 @default.
• W4281723257 hasRelatedWork W2012842278 @default.
• W4281723257 isParatext "false" @default.
• W4281723257 isRetracted "false" @default.
• W4281723257 workType "article" @default.