Toward a new mobile cloud forensic framework

Smartphones have created a significant impact on the day-to-day activities of every individual. Now-a-days a wide range of Smartphone applications are available and it necessitates high computing resources in order to build these applications. Cloud computing offers enormous resources and extends services to resource-constrained mobile devices. Mobile Cloud Computing (MCC) is emerging as a key technology to utilize virtually unlimited resources over the Internet using Smartphones. Offloading data and computations to improve productivity, enhance performance, save energy, and improve user experience. Social network applications largely utilize MCC to reap the benefits. The social network has witnessed unprecedented growth in the recent years, and millions of registered users access it using Smartphones. The mobile cloud social network applications introduce not only convenience but also various issues related to criminal and illegal activities. Despite being primarily used to communicate and socialize with contacts, the multifarious and anonymous nature of social networking websites increases susceptibility to cybercrimes. Taking into account, the advantage of mobile cloud computing and popularity of social network applications, it is essential to establish a forensic framework based on mobile cloud platform that solves the problems of today's forensic requirements. In this paper we present a mobile cloud forensic framework that allows the forensic investigator to collect the automated synchronized copies of data on both the mobile and cloud servers to prove the evidence of cloud usage. We also show our preliminary results of this study.

[1]  Tahar Kechadi,et al.  Survey on Cloud Forensics and Critical Criteria for Cloud Forensic Capability: A Preliminary Analysis , 2011 .

[2]  Mahadev Satyanarayanan,et al.  Mobile computing: the next decade , 2010, MCS '10.

[3]  Tim Storer,et al.  Calm Before the Storm: The Challenges of Cloud Computing in Digital Forensics , 2014, Int. J. Digit. Crime Forensics.

[4]  Martin S. Olivier,et al.  Isolating a cloud instance for a digital forensic investigation , 2011, ISSA.

[5]  Meng Zhu,et al.  Mobile Cloud Computing: implications to smartphone forensic procedures and methodologies , 2011 .

[6]  Qi Shi,et al.  Forensic Analysis of Distributed Service Oriented Computing Platforms , 2011 .

[7]  Mohammed I. Al-Saleh,et al.  Skype Forensics in Android Devices , 2013 .

[8]  Ji Yang,et al.  Towards Cloud and Terminal Collaborative Mobile Social Network Service , 2010, 2010 IEEE Second International Conference on Social Computing.

[9]  Daryl Johnson,et al.  Third Party Application Forensics on Apple Mobile Devices , 2011, 2011 44th Hawaii International Conference on System Sciences.

[10]  Benjamin Turnbull,et al.  Digital Evidence on Mobile Devices , 2011 .

[11]  Ibrahim Baggili,et al.  Forensic analysis of social networking applications on mobile devices , 2012, Digit. Investig..

[12]  Denis Reilly,et al.  Cloud Computing: Pros and Cons for Computer Forensic Investigations , 2011 .

[13]  Feng Gao,et al.  Analysis of WeChat on IPhone , 2013 .

[14]  Alan T. Sherman,et al.  Acquiring forensic evidence from infrastructure-as-a-service cloud computing: Exploring and evaluating tools, trust, and techniques , 2012, Digit. Investig..

[15]  Alan T. Sherman,et al.  Design and Implementation of FROST - Digital Forensic Tools for the OpenStack Cloud Computing Platform , 2016 .

[16]  Andrew Hoog.  Android forensics : investigation, analysis, and mobile security for Google Android / Andrew Hoog ; John McCash, technical editor. , 2011 .

[17]  Prashant Pandey,et al.  Cloud computing , 2010, ICWET.

[18]  Richard Ayers.  Mobile Device Forensics - Tool Testing , 2008 .

[19]  Mark John Taylor,et al.  Forensic investigation of cloud computing systems , 2011, Netw. Secur..

[20]  Barrie Mellars.  Forensic examination of mobile phones , 2004, Digit. Investig..

[21]  Shunxiang Wu,et al.  Research of an E-mail forensic and analysis system based on visualization , 2009, 2009 Asia-Pacific Conference on Computational Intelligence and Industrial Applications (PACIIA).

[22]  Mark Taylor,et al.  Digital evidence in cloud computing systems , 2010, Comput. Law Secur. Rev..

[23]  Randy H. Katz,et al.  A view of cloud computing , 2010, CACM.

[24]  Rajkumar Buyya,et al.  Article in Press Future Generation Computer Systems ( ) – Future Generation Computer Systems Cloud Computing and Emerging It Platforms: Vision, Hype, and Reality for Delivering Computing as the 5th Utility , 2022 .