Data Analytics And Security In Cloud

Rohit Raj

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Data Analytics And Security In Cloud

Rohit Raj

Subject area: Science,Engineering and Technology · Area of research: Computer Engineering

Abstract

The advent of the digital age has led to a rise in different types of data with every passing day. This data is complex and needs to be stored, processed and analyzed for information that can be used by organizations. Cloud computing provides an apt platform for big data analytics in view of the storage and computing requirements of the latter. We discuss various possible solutions for the issues in cloud computing security and Hadoop. Big data analytics use complex data mining algorithm that require efficient high performance processors. Cloud computing infrastructure is able to provide both computational and data processing applications and also offers elasticity, pay-per- user, low affordable investment. Challenges in data migration on cloud are scalable data management, application security, Map reduce & Hadoop environment.

Keywords

Big Data, Cloud Computing, Kerberos, Altryx

References

[1] Venkata Narasimha Inukollu, Sailaja Arsi And Srinivasa Rao Ravuri. "Security Issues Associated With Big Data In Cloud Computing, International Journal Of Network Security & Its Applications (Ijnsa), Vol.6, No. 3, May 2014.

[2] Amitkumar Manekar And Dr. G. Pradeepini. “A Review On Cloud Based Big Data Analytics.”.Icses Journal On Computer Networks And Communications(Ucnc),May 2015,Vol. 1, No.1

[3] S. Mahdi Shariati,Abouzarjomehri, M.Hossein Ahmadzadegan. “Challenges And Security Issues In Cloud Computing From Two Perspectives: Data Security And Privacy Protection” 2015 2Nd International Conference On Knowledge -Based Engineering And Inno vation(Kbei) November 5-6, 2015.

[4] http://www.kerberos.org

[5] Boldyreva And V. Kumar, “Provable- Security Analysis Of Authenticated Encryption In Kerberos”. Ieee Symposium On Security And Privacy (Sp'07). May 2007.

How to cite this paper

Rohit Raj "Data Analytics And Security In Cloud" Iconic Research And Engineering Journals Volume 1 Issue 9 2018 Page 329-332

Rohit Raj "Data Analytics And Security In Cloud" Iconic Research And Engineering Journals, vol. 1, no. 9, Mar. 2018

Rohit Raj (2018). Data Analytics And Security In Cloud. Iconic Research And Engineering Journals, 1(9).

Rohit Raj "Data Analytics And Security In Cloud" Iconic Research And Engineering Journals, vol. 1, no. 9, Mar. 2018.

@article{1700449,
      author = {Rohit Raj},
      title = {Data Analytics And Security In Cloud},
      journal = {Iconic Research And Engineering Journals},
      year = {2018},
      volume = {1},
      number = {9},
      pages = {329-332},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1700449.pdf},
      abstract = {The advent of the digital age has led to a rise in different types of data with every passing day. This data is complex and needs to be stored, processed and analyzed for information that can be used by organizations. Cloud computing provides an apt platform for big data analytics in view of the storage and computing requirements of the latter. We discuss various possible solutions for the issues in cloud computing security and Hadoop. Big data analytics use complex data mining algorithm that require efficient high performance processors. Cloud computing infrastructure is able to provide both computational and data processing applications and also offers elasticity, pay-per- user, low affordable investment. Challenges in data migration on cloud are scalable data management, application security, Map reduce & Hadoop environment.},
      keywords = {Big Data, Cloud Computing, Kerberos, Altryx},
      month = {March},
  }