Quick, Darren. <br/><br/>
Cloud storage forensics / 
Darren Quick, Ben Martini, Kim-Kwang Raymond Choo ; Brett Shavers, technical editor. 
 - 1st edition. 
 - 1 online resource (208 p.) 
<br/><br/> Description based upon print version of record. 
<br/><br/>Includes bibliographical references and index. 
<br/><br/>Introduction -- Cloud storage forensic framework -- Microsoft Skydrive cloud storage forensic analysis -- Dropbox analysis : data remnants on user machines -- Google drive : forensic analysis of cloud storage data remnants -- Open source cloud storage forensics : owncloud as a case study -- Forensic collection of cloud storage data : does the act of collection result in changes to the data or its metadata? -- Conclusion. 
<br/><br/> To reduce the risk of digital forensic evidence being called into question in judicial proceedings, it is important to have a rigorous methodology and set of procedures for conducting digital forensic investigations and examinations. Digital forensic investigation in the cloud computing environment, however, is in infancy due to the comparatively recent prevalence of cloud computing. Cloud Storage Forensics presents the first evidence-based cloud forensic framework. Using three popular cloud storage services and one private cloud storage service as case studies, the authors sh. 
<br/><br/><br/>English. 
<br/><br/><label>ISBN: </label>0124199917 9780124199910 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Computer crimes--Investigation.<br/>Forensic sciences--Data processing.<br/>Cloud computing.<br/>Information storage and retrieval systems.<br/>Criminalit�e informatique--Enqu�etes.<br/>Criminalistique--Informatique.<br/>Infonuagique.<br/>Syst�emes d'information.<br/>Cloud computing<br/>Computer crimes--Investigation<br/>Forensic sciences--Data processing<br/>Information storage and retrieval systems
<br/><br/><label>LC Class. No.: </label>HV8079.C65  / Q53 2014 
<br/><br/><label>Dewey Class. No.: </label>363.250285  363.25028546782