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020 _a9780128054482
_q(electronic bk.)
020 _z9780128053034
035 _a(MiAaPQ)EBC4717429
035 _a(Au-PeEL)EBL4717429
035 _a(CaPaEBR)ebr11282656
035 _a(CaONFJC)MIL963364
035 _a(OCoLC)960976324
040 _aMiAaPQ
_beng
_erda
_epn
_cMiAaPQ
_dMiAaPQ
050 4 _aTK5103.4837
_b.C66 2017
082 0 _a363.252
245 1 0 _aContemporary Digital Forensic Investigations of Cloud and Mobile Applications /
_cedited by Kim-Kwang Raymond Choo, Ali Dehghantanha.
264 1 _aRockland, MA :
_bElsevier Science & Technology Books,
_c2017.
264 4 _c©2017.
300 _a1 online resource (328 pages) :
_b illustrations ;
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
500 _aIncludes index.
505 0 _aFront Cover -- Contemporary Digital Forensic Investigations of Cloud and Mobile Applications -- Copyright -- Contents -- Contributors -- About the Editors -- Chapter 1 Contemporary Digital Forensics Investigations of Cloud and Mobile Applications -- References -- Chapter 2 Forensics Analysis of Android Mobile VoIP Apps -- 1 Introduction -- 2 Related Work -- 3 Experimental Setup -- 3.1 Phase I: Setup Phase-First Iteration -- 3.2 Phase II: Logical Acquisition -- 3.3 Phase III: Identification and Analysis-Second Iteration -- 4 Results and Discussion -- 4.1 Viber Artifacts -- 4.2 Skype Artifacts -- 4.3 WhatsApp Artifacts -- 5 Conclusion and Future Work -- References -- Chapter 3 Investigating America Online Instant Messaging Application: Data Remnants on Windows 8.1 Client Machine -- 1 Introduction -- 2 Related Work -- 3 Research Methodology -- 4 AIM Forensics -- 4.1 Installation of the AIM 7 Client Application -- 4.2 Logins -- 4.3 Buddy Lists -- 4.4 Conversations and Transferred Files -- 4.5 IM Logs -- 4.6 Buddy Icons -- 4.7 "What is Happening" Messages -- 4.8 Uninstallation of AIM Client Software -- 5 Conclusion and Future Work -- References -- Chapter 4 Forensic Investigation of Social Media and Instant Messaging Services in Firefox OS: Facebook, Twitter, Google+, ... -- 1 Introduction -- 2 Methodology -- 3 Experiment Setup -- 3.1 Preparing the Host Machine for Acquisition Process and Analysis Work -- 3.2 Acquisition of Phone Image and Memory Image -- 3.3 Installing the Phone With Targeted Application -- 3.4 Executing the Activities and Documenting All Steps Taken -- 3.5 Comparing Base Images With Activities Images -- 4 Discussion and Analysis -- 4.1 Social Media Investigation -- 4.1.1 Social Media Phone Image -- 4.1.2 Social Media Phone and Memory Images -- 4.2 Instant Messaging Investigation -- 4.2.1 Instant Messaging Phone Image.
505 8 _a4.2.2 Instant Messaging Phone and Memory Images -- 5 Conclusion -- References -- Chapter 5 Network Traffic Forensics on Firefox Mobile OS: Facebook, Twitter, and Telegram as Case Studies -- 1 Introduction -- 2 Experiment Setup -- 2.1 Preparing Virtual Machines -- 2.2 Executing Activities -- 2.3 Capturing Network Activities -- 2.4 Conducting Network Analysis -- 3 Discussion and Analysis -- 3.1 Network Analysis of Facebook -- 3.2 Network Analysis on Twitter -- 3.3 Network Analysis on Telegram -- 4 Conclusion and Future Works -- References -- Chapter 6 Mobile Phone Forensics: An Investigative Framework Based on User Impulsivity and Secure Collaboration Errors -- 1 Introduction -- 2 Review of Related Work -- 3 Experiment Design -- 4 Results and Discussion -- 4.1 Familiarity With Smartphones Security -- 4.2 Cognitive Impulsivity -- 5 Forensics Investigation Guideline -- 6 Limitations -- 7 Conclusion and Further Research -- References -- Chapter 7 Performance of Android Forensics Data Recovery Tools -- 1 Introduction -- 2 Related Work -- 3 Experiment Setup -- 4 Results and Discussions -- 5 Conclusion and Future Works -- References -- Chapter 8 Honeypots for Employee Information Security Awareness and Education Training: A Conceptual EASY Training Model -- 1 Introduction -- 2 Experiment Setup -- 3 Findings: Dionaea -- 3.1 Breakdown of Attacks by Time of Day -- 3.2 Breakdown of Attacks by IP Address -- 3.3 Malware Captured by Dionaea -- 4 Findings: Kippo -- 4.1 Top 10 Passwords Attempted -- 4.2 Top 10 IP Connections -- 4.3 Top 10 Successful Commands -- 4.4 Files Downloaded -- 5 A Conceptual EASY Training Model -- 5.1 Engaging Stakeholders -- 5.2 Acceptable Behavior -- 5.3 Simple Teaching Method -- 5.4 Yardstick -- 6 Conclusion and Future Work -- Acknowledgments -- References.
505 8 _aChapter 9 Implications of Emerging Technologies to Incident Handling and Digital Forensic Strategies: A Routine Activity Th... -- 1 Introduction -- 2 Background and Related Work -- 2.1 Emerging Technologies and Threats -- 2.2 Routine Activity Theory -- 2.3 Related Work -- 3 Methodology -- 3.1 Data Collection -- 3.2 Data Analysis -- 4 Cyber Threat Landscape From a Rat Perspective -- 4.1 Motivation -- 4.2 Opportunity -- 4.3 Guardianship -- 5 Discussion -- 6 Conclusion and Future Work -- Appendix 1 Questionnaire Items -- References -- Chapter 10 Forensic Readiness: A Case Study on Digital CCTV Systems Antiforensics -- 1 Introduction -- 2 Our Proposed Antiforensics Framework for Digital CCTV Systems -- 2.1 An Overview of Digital CCTV Systems -- 2.2 Development of Antiforensics Framework for Digital CCTV Systems -- 3 Case Studies -- 3.1 Test-Device-DVR1 -- 3.2 Test-Device-DVR2 -- 3.3 Test-Device-iPhone -- 3.4 Prototype Tool -- 4 Conclusion -- References -- Chapter 11 Forensic Visualization: Survey and Future Research Directions -- 1 Introduction -- 2 Digital Forensics -- 2.1 Examples of Cases Involving Evidence From Portable Devices -- 2.2 Challenges -- 3 Visualization is Key -- 3.1 Related Work -- 3.2 Popular Commercial Forensic and e-Discovery Software -- 4 Forensic Visualization Selection Criteria -- 4.1 Identified Forensic Visualization Possibilities -- 5 Conclusion and Future Research -- References -- Chapter 12 Investigating Storage as a Service Cloud Platform: pCloud as a Case Study -- 1 Introduction -- 1.1 Related Work -- 2 Research Methodology -- 2.1 Experimental Setup -- 2.1.1 Windows -- 2.1.2 Android -- 2.1.3 iOS -- 2.1.4 Ubuntu -- 3 Analysis and Findings -- 3.1 Windows Browser-Based Experiments -- 3.1.1 Upload -- 3.1.2 Install and Login -- 3.2 Windows app-Based Experiments -- 3.2.1 Install and Login -- 3.2.2 Delete -- 3.2.3 Uninstall.
505 8 _a3.3 Android app-Based Experiments -- 3.3.1 Install and Login -- 3.3.2 Upload -- 3.3.3 Uninstall -- 3.4 iOS-Based Experiments -- 3.4.1 Upload and Uninstallation -- 3.5 Ubuntu app-Based Experiments -- 4 Network Traffic -- 5 Conclusion -- References -- Chapter 13 Cloud Storage Forensics: Analysis of Data Remnants on SpiderOak, JustCloud, and pCloud -- 1 Introduction -- 2 Research Methodology -- 2.1 Cloud Forensic Framework -- 2.2 Experiment Setup -- 2.2.1 Windows -- 2.2.2 iOS -- 3 Findings: SpiderOak -- 3.1 Observations: SpiderOak's Account Created Using the Respective Browsers -- 3.2 Observations: SpiderOak's Application Program -- 3.3 Observations: Uninstalling SpiderOak's Application Program -- 3.4 Observations: Downloading From SpiderOak Using the Respective Browsers -- 3.5 Observations: Browsing and Downloading From SpiderOak's iOS App -- 4 Findings: JustCloud -- 4.1 Observations: JustCloud's Account Created in Using IE the Respective Browsers -- 4.2 Observations: JustCloud's Application Program -- 4.3 Observations: Uninstalling JustCloud's Application Program -- 4.4 Observations: Downloading From JustCloud Using the Respective Browsers -- 4.5 Observations: Browsing and Downloading From JustCloud's iOS App -- 5 Finding: pCloud -- 5.1 Observations: pCloud's Account Created in Using IE the Respective Browsers -- 5.2 Observations: pCloud's Application Program -- 5.3 Observations: Uninstalling pCloud's Application Program -- 5.4 Observations: Downloading From pCloud Using the Respective Browsers -- 5.5 Observations: Browsing and Downloading From pCloud's iOS App -- 6 Conclusion and Future Work -- References -- Chapter 14 Residual Cloud Forensics: CloudMe and 360Yunpan as Case Studies -- 1 Introduction -- 1.1 Contribution -- 2 Research Methodology -- 2.1 Experimental Setup -- 2.1.1 Windows 8.1 Client Application Based -- 2.2 Windows 8.1 Browser Based.
505 8 _a2.3 Android KitKat 4.4.2 Client Application Based -- 2.4 Apple iOS 8.0 Client Application Based -- 3 Results and Discussion -- 3.1 Evidence Source Identification and Preservation -- 3.2 Evidence Collection -- 3.3 Examination and Analysis -- 3.3.1 Cloud Service: CloudMe -- Windows 8.1-Client Application Based -- Windows 8.1-Web Browser Based -- Upload-Live Memory/Browser Cache -- Open/View-Live Memory -- Download-Live Memory/Browser Cache -- Delete-Live Memory -- Android KitKat 4.4.2-Client Application Based -- Apple iOS 8.0-Client Application Based -- 3.3.2 Cloud Service: 360Yunpan -- Windows 8.1-Client Application Based -- Windows 8.1-Web Browser Based -- Upload-Live Memory/Browser Cache -- Upload-Network Traffic -- Open/View-Live Memory/Browser Cache -- Open/View-Network Traffic -- Download-Live Memory -- Download-Network Traffic -- Delete-Live Memory -- Delete-Network Traffic -- Android KitKat 4.4.2-Client Application Based -- Apple iOS 8.0-Client Application Based -- 4 Reporting and Presentation -- 4.1 Cloud Service: CloudMe -- 4.2 Cloud Service: 360Yunpan -- 5 Conclusion -- References -- Chapter 15 An Android Cloud Storage Apps Forensic Taxonomy -- 1 Introduction -- 2 Experiment Setup -- 3 Discussion -- 4 Results -- 4.1 Database -- 4.2 Storage -- 4.2.1 Pictures -- 4.2.2 Documents -- 4.2.3 Web Files -- 4.2.4 Audio -- 5 Conclusion and Future Works -- Appendix 1 List of Application Versions -- Appendix 2 Dataset List (EDRM) -- Appendix 3 Retrieved Artifacts -- Appendix 4 Network Traffic -- References -- Index -- Back Cover.
520 _a"Contemporary Digital Forensic Investigations of Cloud and Mobile Applications comprehensively discusses the implications of cloud (storage) services and mobile applications on digital forensic investigations. The book provides both digital forensic practitioners and researchers with an up-to-date and advanced knowledge of collecting and preserving electronic evidence from different types of cloud services, such as digital remnants of cloud applications accessed through mobile devices. This is the first book that covers the investigation of a wide range of cloud services. Dr. Kim-Kwang Raymond Choo and Dr. Ali Dehghantanha are leading researchers in cloud and mobile security and forensics, having organized research, led research, and been published widely in the field. Users will gain a deep overview of seminal research in the field while also identifying prospective future research topics and open challenges." -- Publisher's web site.
588 _aDescription based on publisher supplied metadata and other sources.
590 _aElectronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2021. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
650 0 _aCloud computing.
650 0 _aMobile device forensics.
_9298869
650 0 _aDigital forensic science.
_9298870
650 0 _aComputer crimes
_979072
_xInvestigation
650 0 _aMobile communication systems.
_9137363
650 0 _aForensic sciences
_997887
655 4 _aElectronic books.
700 _aChoo, Kim-Kwang Raymond.
_9298868
_eeditor
700 1 _aDehghantanha, Ali.
_eeditor
776 0 8 _iPrint version:
_aChoo, Kim-Kwang Raymond
_tContemporary Digital Forensic Investigations of Cloud and Mobile Applications
_dRockland, MA : Elsevier Science & Technology Books,c2016
_z9780128053034
797 2 _aProQuest (Firm)
856 _uhttps://login.ezproxy.pucpr.edu/login?url=https://ebookcentral.proquest.com/lib/pucpr-ebooks/detail.action?docID=4717429
_yAcceso Remoto
856 4 0 _uhttps://ebookcentral.proquest.com/lib/pucpr-ebooks/detail.action?docID=4717429
_yAcceso en el Campus PUCPR
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_c7
999 _c297126
_d297126