Abstract

Every technology has some benefits and some limitations. Cloud computing has its own set of them. Cloud computing has various advantages i.e. reliability, cost effective, scalability, fault tolerance, backup. But there are also some security issues in cloud computing because data is stored on worldwide platform. Many attackers can use cloud services to create vulnerability in the cloud system. There are some forensics tools implemented to find information about these attacks in cloud environment. This complete process to find evidence in cloud environment is known as cloud forensics. This paper presents a study about cloud forensics methods, technology used, comparative study to provide awareness of tools, methods, challenges in cloud forensics. This information will help to find new techniques to improve forensics process in cloud forensics.

References

• Almulla, Sameera; Iraqi, Youssef; and Jones, Andrew 2014.A State-Of-The-Art Review of Cloud Forensics. Journal of Digital Forensics, Security and Law: Vol. 9:No. 4 , Article 2, DOI: https://doi.org/10.15394/jdfsl.2014.1190.
• https://en.wikipedia.org/wiki/Cloud_computing
• https://en.wikipedia.org/wiki/Digital_forensics
• https://www.techstagram.com/2013/03/20/cloud-forensics-importance/
• M.E. Alex, R. Kishore.2017.Forensics framework for cloud computing, Computers and Electrical Engineering.http://dx.doi.org/10.1016/j.compeleceng.2017.02.006.
• A. Castiglione, G. Cattaneo, G. De Maio, A. De Santis and G. Roscigno.2017.A Novel Methodology to Acquire Live Big Data Evidence from the Cloud.in IEEE Transactions on Big Data.
• doi: 10.1109/TBDATA.2017.2683521.
• Bennett, Juan-Carlos & H. Diallo, Mamadou. 2018.A Forensic Pattern-Based Approach for Investigations in Cloud System Environments. 1-8. 10.1109/CSNET.2018.8602908.
• Stavros Simou,Christos Kalloniatis,Stefanos Gritzalis,Vasilios Katos.2018. A framework for designing cloud forensicenabled services (CFeS).
• Santra P., Roy A., Majumder K.2018.A Comparative Analysis of Cloud Forensic Techniques in IaaS. In: Bhatia S., Mishra K., Tiwari S., Singh V. (eds) Advances in Computer and Computational Sciences. Advances in Intelligent Systems and Computing, vol 554. Springer, Singapore.
• Bhatia, Sugandh & Malhotra, Jyoteesh .2018.CSPCR: Cloud Security, Privacy and Compliance Readiness - A Trustworthy Framework. International Journal of Electrical and Computer Engineering. 8. 10.11591/ijece.v8i5.pp3756-3766, 2018.
• Santra P., Roy A., Majumder K.2018. A Comparative Analysis of Cloud Forensic Techniques in IaaS. In: Bhatia S., Mishra K., Tiwari S., Singh V. (eds) Advances in Computer and Computational Sciences. Advances in Intelligent Systems and Computing, vol 554. Springer, Singapore.
• Hemdan E.ED., Manjaiah D.H.2019. Digital Forensic Approach for Investigation of Cybercrimes in Private Cloud Environment. In: Sa P., Bakshi S., Hatzilygeroudis I., Sahoo M. (eds) Recent Findings in Intelligent Computing Techniques. Advances in Intelligent Systems and Computing, vol 707. Springer, Singapore.
• Moussa, A.N., Ithnin, N. & Zainal.2018.CFaaS: bilaterally agreed evidence collection. A. J Cloud Comp (2018) 7: 1. https://doi.org/10.1186/s13677-017-0102-3.
• Pichan, Ameer & Lazarescu, Mihai & Teng Soh, Sie.2015. Cloud forensics: Technical challenges, solutions and comparative analysis. Digital Investigatio. 13. 10.1016/j.diin.2015.03.002.
• DykNetwork Forensicsstra, Josiah & Sherman, A.T.2011. Understanding Issues in cloud forensics: Two hypothetical case studies. Journal of . 3. 19-31.
• Simou, Stavros & Kalloniatis, Christos & Gritzalis, Stefanos & Mouratidis, Haris.2016. A survey on cloud forensics challenges and solutions. Security and Communication Networks”10.1002/sec.1688.
• Dykstra, Josiah & T. Sherman, Alan.2013. Design and implementation of FROST: Digital forensic tools for the OpenStack cloud computing platform. Digital Investigation. 10. S87–S95. 10.1016/j.diin.2013.06.010.
• K. R. Choo, C. Esposito and A. Castiglione.2017.Evidence and Forensics in the Cloud: Challenges and Future Research Directions. In IEEE Cloud Computing, vol. 4, no. 3, pp. 14-19, 2017.
• doi: 10.1109/MCC.2017.39.