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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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With new technologies, such as mobile communications, internet of things, and wide applications of social media, organizations generate a huge volume of data, much faster than several years ago. Big data, characterized by high volume, diversity and velocity, increasingly drives decision making and is changing the landscape of business intelligence, from governments to private organizations, from communities to individuals. Big data analytics that discover insights from evidences has a high demand for computing efficiency, knowledge discovery, problem solving, and event prediction. We dedicate a special section of Issue 4/2017 to Big Data. Prospective authors are asked to make the submissions for this section no later than the 31st of May 2017, placing "BigData - " before the paper title in OpenConf.

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  2/2014 - 17

Digital Forensics in Cloud Computing

PATRASCU, A. See more information about PATRASCU, A. on SCOPUS See more information about PATRASCU, A. on IEEExplore See more information about PATRASCU, A. on Web of Science, PATRICIU, V.-V. See more information about PATRICIU, V.-V. on SCOPUS See more information about PATRICIU, V.-V. on SCOPUS See more information about PATRICIU, V.-V. on Web of Science
Click to see author's profile in See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (1,020 KB) | Citation | Downloads: 623 | Views: 2,782

Author keywords
application virtualization, cloud computing, cyberspace, forensics, multicore processing

References keywords
cloud(17), computing(14), digital(9), forensic(5), patrascu(4), link(4), forensics(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2014-05-31
Volume 14, Issue 2, Year 2014, On page(s): 101 - 108
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2014.02017
Web of Science Accession Number: 000340868100017
SCOPUS ID: 84901827332

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Cloud Computing is a rather new technology which has the goal of efficiently usage of datacenter resources and offers them to the users on a pay per use model. In this equation we need to know exactly where and how a piece of information is stored or processed. In today's cloud deployments this task is becoming more and more a necessity and a must because we need a way to monitor user activity, and furthermore, in case of legal actions, we must be able to present digital evidence in a way in which it is accepted. In this paper we are going to present a modular and distributed architecture that can be used to implement a cloud digital forensics framework on top of new or existing datacenters.

References | Cited By  «-- Click to see who has cited this paper

[1] S. Tayal, "Tasks scheduling optimization for the cloud computing system", International Journal Of Advanced Engineering Sciences And Technologies, Vol5, 2011

[2] S. K. Garg, C. S. Yeo, A. Anandasivam, R. Buyya, "Energy efficient Scheduling of HPC application in Cloud Computing environments", 2009

[3] R. Buyya, C. S. Yeo, S. Venugopal, J. Broberg, I. Brandic, "Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility", 2008

[4] NIST SP800-86 Notes, "Guide to Integrating Forensic Techniques into Incident Response", [Online] Available: Temporary on-line reference link removed - see the PDF document

[5] B. Grobauer, T. Schreck, "Towards incident handling in the cloud: challenges and approaches", in Proceedings of the 2010 ACM workshop on Cloud computing security workshop, New York, 2010
[CrossRef] [Web of Science Times Cited 20] [SCOPUS Times Cited 52]

[6] G. Chen, "Suggestions to digital forensics in Cloud computing ERA", in Third IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC), 2012
[CrossRef] [SCOPUS Times Cited 16]

[7] M. Simmons, H. Chi, "Designing and implementing cloud-based digital forensics", in Proceedings of the 2012 Information Security Curriculum Development Conference, pages 69-74, 2012
[CrossRef] [SCOPUS Times Cited 9]

[8] T. Takahashi, Y. Kadobayashi, H. Fujiwara, "Ontological Approach toward Cybersecurity in Cloud Computing", 2010

[9] S. Thorpe, I. Ray, T. Grandison, A. Barbir, "Cloud Digital Investigations Based on a Virtual Machine Computer History Model", Future Information Technology, Application, and Service, 2012

[10] D. Birk, "Technical issues for forensic investigations in cloud computing environments", IEEE Sixth International Workshop on Systematic Approaches to Digital Forensic Engineering, 2011
[CrossRef] [SCOPUS Times Cited 135]

[11] A. Patrascu, V. Patriciu, "Beyond Digital Forensics. A Cloud Computing Perspective Over Incident Response and Reporting", IEEE 8th International Symposium on Applied Computational Intelligence and Informatics, 2013
[CrossRef] [SCOPUS Times Cited 16]

[12] B. Martini, K. R. Choo, "An integrated conceptual digital forensic framework for cloud computing", Digital Investigation, November 2012
[CrossRef] [Web of Science Times Cited 100] [SCOPUS Times Cited 134]

[13] Reilly, D., Wren, C., Berry, T., "Cloud computing: Forensic challenges for law enforcement", Internet Technology and Secured Transactions, 2010 International Conference, vol., no., pp.1-7, 8-11 Nov. 2010

[14] A. Patrascu, C. Leordeanu, V. Cristea, "Scalable Service based Antispam Filters", Proceedings of First International Workshop on the Service for Large Scale Distributed Systems(Sedis 2011) in conjunction with the EIDWT 2011 conference, Tirana, 2011

[15] A. Patrascu. D. Maimut, E. Simion, "New directions in cloud computing. A security perspective", COMM International Conference, Bucharest, 2012
[CrossRef] [SCOPUS Times Cited 3]

[16] B. Wilder, "Cloud architecture patterns", O'Reilly Media, pp 10-14, 2012

[17] Management metalanguage, [Online] Available: Temporary on-line reference link removed - see the PDF document

[18] CEE Log Syntax (CLS) Specification, [Online] Available: Temporary on-line reference link removed - see the PDF document

[19] Y. Du, P. Qin, J. Du, "A Log Based Approach to Make Digital Forensics Easier on Cloud Computing", in Third conference on Intelligent System Design and Engineering Applications (ISDEA), 2013

[20] A. Patrascu, C. Leordeanu, C. Dobre, V. Cristea, "ReC2S: Reliable Cloud Computing System", European Concurrent Engineering Conference, Bucharest, 2012

[21] Volatility framework, [Online] Available: Temporary on-line reference link removed - see the PDF document

References Weight

Web of Science® Citations for all references: 120 TCR
SCOPUS® Citations for all references: 365 TCR

Web of Science® Average Citations per reference: 5 ACR
SCOPUS® Average Citations per reference: 17 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2019-06-17 04:16 in 57 seconds.

Note1: Web of Science® is a registered trademark of Clarivate Analytics.
Note2: SCOPUS® is a registered trademark of Elsevier B.V.
Disclaimer: All queries to the respective databases were made by using the DOI record of every reference (where available). Due to technical problems beyond our control, the information is not always accurate. Please use the CrossRef link to visit the respective publisher site.

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Faculty of Electrical Engineering and Computer Science
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