Innovative security technologies against insider threats and data leakage

You, Ilsun; Ogiela, Marek R.; Woungang, Isaac; Yim, Kangbin

doi:10.1080/00207160.2015.1044784

Cited by 2 publications

(1 citation statement)

References 11 publications

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“…As the enterprise relies increasingly on information systems and information data, information system stability and information data security are directly related to the core competitiveness of enterprises, which puts high demands on enterprise information security and confidentiality [1]. According to the survey, among the ways of leaking sensitive information inside the enterprise, the fact that employees unconsciously outflow sensitive information through the enterprise's home page, mailboxes, instant messaging software, cloud disks, and smartphones connected to a wireless network [2][3][4] has become an important channel for leaking sensitive information [5,6]. Therefore, enterprise border networks are particularly important for the timely detection and interception of sensitive data [7,8].…”

Section: Introductionmentioning

confidence: 99%

Application Research of File Fingerprint Identification Detection Based on a Network Security Protection System

Wang

Chang

et al. 2020

Wireless Communications and Mobile Computing

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A DLP (data loss prevention) system usually arranges network monitors at the network boundary to perform network traffic capture, file parsing, and strategy matching procedures. Strategy matching is a key process to prevent corporate secret-related documents from leaking. This paper adopts the document fingerprint similarity detection method based on the SimHash principle and customizes the KbS (Keyword-based SimHash) fingerprint, PbS (Paragraph-based SimHash) fingerprint, and SoP (SimHash of Paragraph) fingerprint, three different feature extraction SimHash algorithms for strategy matching to detect. The parsed unstructured data is stored as a file type in.txt format, and then a file fingerprint is generated. Matching the established sensitive document library to calculate the Hamming distance between the fingerprints, the Hamming distance values under different modification degrees are summarized. The experimental results reveal that the hybrid algorithmic strategy matching rules with different levels and accuracy are established. This paper has a reference role for the leakage prevention research of enterprise sensitive data.

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Section: Introductionmentioning

confidence: 99%

Application Research of File Fingerprint Identification Detection Based on a Network Security Protection System

Wang

Chang

et al. 2020

Wireless Communications and Mobile Computing

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Development, Application and Prospect of Artificial Intelligence in Biomedical Field

Lu¹

2023

HSET

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The advancement of artificial intelligence, which has remarkable applications in numerous industries, is a key area of worldwide science and technology development. Among them, the application of artificial intelligence in new drug research and development and auxiliary disease diagnosis has made such outstanding achievements. Therefore, this paper analyzes the development and application of AI in biomedicine and looks forward to its future development. The detailed review included examples of how artificial intelligence has been used in biological medicine, the research and development of new pharmaceuticals, the development of new drugs, and the diagnosis of auxiliary diseases. Finally, this paper summarizes and prospects the future development of biomedicine.

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Innovative security technologies against insider threats and data leakage

Cited by 2 publications

References 11 publications

Application Research of File Fingerprint Identification Detection Based on a Network Security Protection System

Application Research of File Fingerprint Identification Detection Based on a Network Security Protection System

Development, Application and Prospect of Artificial Intelligence in Biomedical Field

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