DocumentCode :
265642
Title :
iOS Anti-forensics: How Can We Securely Conceal, Delete and Insert Data?
Author :
D´Orazio, Christian ; Ariffin, Aswami ; Choo, Kim-Kwang Raymond
Author_Institution :
Inf. Assurance Res. Group, Univ. of South Australia, Adelaide, SA, Australia
fYear :
2014
fDate :
6-9 Jan. 2014
Firstpage :
4838
Lastpage :
4847
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.
Keywords :
data privacy; digital forensics; iOS (operating system); mobile computing; mobile handsets; antimobile forensics; concealment technique; data deletion; deletion technique; forensic investigations; iOS antiforensics; iOS devices; insertion technique; nonprotected data security; privacy concerns; security concerns; smart mobile devices; Cryptography; File systems; Forensics; Mobile handsets; Random access memory; Videos; iOS anti-forensics; iOS forensics; mobile anti-forensics; mobile forensics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Sciences (HICSS), 2014 47th Hawaii International Conference on
Conference_Location :
Waikoloa, HI
Type :
conf
DOI :
10.1109/HICSS.2014.594
Filename :
6759196
Link To Document :
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