aspg-2-4087-1791416964 20261007234924 American Scientific Publishing Group admin@americaspg.com American Scientific Publishing Group Journal of Cybersecurity and Information Management JCIM 2769-7851 2690-6775 2026 17 2 Robinson Tombari Sibe Rivers State University, Nigeria, Digital Footprints Ltd, Nigeria Adewale Alayegun Digital Footprints Ltd, Nigeria 16.00 Normal false false false TR X-NONE AR-SA DefSemiHidden="false" DefQFormat="false" DefPriority="99" LatentStyleCount="371"> QFormat="true" Name="heading 2"/> QFormat="true" Name="heading 3"/> QFormat="true" Name="heading 4"/> UnhideWhenUsed="true" QFormat="true" Name="heading 5"/> UnhideWhenUsed="true" QFormat="true" Name="heading 6"/> UnhideWhenUsed="true" QFormat="true" Name="heading 7"/> UnhideWhenUsed="true" QFormat="true" Name="heading 8"/> UnhideWhenUsed="true" QFormat="true" Name="heading 9"/> Name="index 1"/> Name="index 2"/> Name="index 3"/> Name="index 4"/> Name="index 5"/> Name="index 6"/> Name="index 7"/> Name="index 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{mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:8.0pt; mso-para-margin-left:0in; line-height:107%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri",sans-serif; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:Arial; mso-bidi-theme-font:minor-bidi; mso-ansi-language:TR;} The growing popularity of iOS devices and the increasing complexities of forensic investigation of these devices requires more research attention. Due to the complex encryption and closed nature of iPhones, it is inherently complicated to perform digital forensic investigations. While there are many extraction and analysis methods for iphone, the most comprehensive (but most complex) is the full physical acquisition. However, the likelihood of acquiring physical extraction of an iPhone is becoming more challenging as Apple improves on its mobile technology, with more emphasis on privacy and security. Factors such as the adoption of full file and disk encryption, and secure enclave technology poses serious challenge to forensic investigators. This paper explored alternatives, by extracting and analyzing valuable evidential artifacts using iTunes and iCloud, unique to the iOS environment. This research involved the forensic examination of an iPhone XR running on iOS 17.5, using Oxygen Forensic Device Extractor v2.13.1, with each step documented. The study uncovered several artifact locations and provided a brief description of each, and their usefulness in a forensics analysis. Some of these include user-generated content, system artifacts, application data, and cloud interactions, such as contacts, SMS data, call history, media files, database, browser data, application data and others, that could prove vital in solving a case. This study made valuable contribution to the body of knowledge by highlighting specific challenges faced in iOS forensics and recommending a methodical approach to examining and analyzing evidential artifacts using iTunes and iCloud. The paper also addressed the gap in available literature in iOS forensics. 2026 167 177 4087 https://creativecommons.org/licenses/by/4.0/ 10.54216/JCIM.170212 https://www.americaspg.com/journal/2/article/4087 https://www.americaspg.com/storage/91757535250.pdf