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- W2103769032 abstract "With increasing popularity of smart mobile devices such as iOS devices, security and privacy concerns have emerged as a salient area of inquiry. A relatively under-studied area is anti-mobile forensics to prevent or inhibit forensic investigations. In this paper, we propose a Concealment technique to enhance the security of non-protected (Class D) data that is at rest on iOS devices, as well as a Deletion technique to reinforce data deletion from iOS devices. We also demonstrate how our Insertion technique can be used to insert data into iOS devices surreptitiously that would be hard to pick up in a forensic investigation." @default.
- W2103769032 created "2016-06-24" @default.
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- W2103769032 date "2013-01-01" @default.
- W2103769032 modified "2023-09-23" @default.
- W2103769032 title "IOS Anti-Forensics: How Can We Securely Conceal, Delete and Insert Data?" @default.
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- W2103769032 doi "https://doi.org/10.2139/ssrn.2339819" @default.
- W2103769032 hasPublicationYear "2013" @default.
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