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- W4223482904 abstract "Insider threat is one of the most stimulating security threats in an organization that possesses sensitive information. In an organization, detecting malicious insider threats is more challenging due to the behavioral changes of malicious insider. To avoid the sensitive information leakage that causes enormous loss, detecting the malicious insider within an organization is necessary. The principal focus of this paper is to find the user’s unauthorized activity by analyzing their behavior on website i.e., websearch analysis. To find the user’s unauthorized activity by analyzing each user’s behaviour, such as the website activity of each individual. The user is classified as a genuine user or malicious userbased on user’s websearch behavior. This paper proposes an insider threat detection framework to analyze and detect the malicious insider threat within an organization using user’s statistical behavior analysis." @default.
- W4223482904 created "2022-04-15" @default.
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- W4223482904 date "2022-04-12" @default.
- W4223482904 modified "2023-09-29" @default.
- W4223482904 title "Detection of Malicious Insider in Cloud Environment based on behavior Analysis" @default.
- W4223482904 doi "https://doi.org/10.1201/9781003302384-1" @default.
- W4223482904 hasPublicationYear "2022" @default.
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