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Home»Articles»Cloud Based Secured Log Retrieval Using Fully Homomorphic Encryption

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Asian Journal of Engineering and Applied Technology (AJEAT)

Editor Dr. Seshadri Ramkumar
Print ISSN : 2249-068X
Frequency : Quarterly

Cloud Based Secured Log Retrieval Using Fully Homomorphic Encryption

Author : B. Rasina Begum and P.Chithra
Volume 9 No.1 January-June 2020 pp 13-17

Abstract

Cloud computing provides a scalable platform for growing amount of data and processes that work on various applications and services by means of on-demand service providing. The storage services offered by clouds have become a new profit growth by providing a comparably cheapest, scalable, location-independent platform for managing users’ data. Client uses the cloud storage and enjoys the high-quality applications and services from a shared pool of configurable computing resources using cloud services. It reduces the trouble of local data storage and maintenance. But it gives severe security threats toward users’ outsourced data. Maintaining the log record securely over extended period is very crucial to the proper functioning of any organization. Log holds the record of system events specially user activities. It is the main target for malicious attackers. An attacker, breaking into a system would not try to leave traces of his or her activities behind. This proposed work mainly concentrates on the problem of log security in cloud computing system and using fully homomorphism encryption algorithm in the cloud computing log data.

Keywords

Cloud Security; Logging; Fully Homomorphic Encryption; Decipherment

Full Text:

References

  1. Kent and M. Souppaya, “Guide to Computer Security Log Management”, NIST Special Publication.
  2. Feng Zhao, Chao Li and Chun Feng Liu, “A cloud computing security solution based on Fully homomorphic encryption”, ICACT2014, February 2014
  3. Varadharajan and U.Tupakula , “Security as a Service Model for Cloud Environment”, IEEE transactions onNetwork and Service Management, Vol. 11, No 1, March 2014
  4. Indrajit Ray, Kirill Belyaev, Mikhail Strizhov, Dieudonne Mulamba, and Mariappan Rajaram, “Secure Logging as a Service-Delegating Log Management to the Cloud”, IEEE Systems Journal, Vol. 7, No. 2, June 2013
  5. Shahank Bajpal and Padmija Srivastava, “A Fully Homomorphic Encryption Implementation on cloud Computing”, International Journal of Information & Computation Technology, 4, No. 8, 2014
  6. Maha Tebaa, Saïd El Hajji and Abdellatif El Ghazi,         “Homomorphic Encryption Applied to the Cloud Computing Security”, World Congress on Engineering, 2012
  7. Badugu Rajeswari and Badugu Suneel Kumar, “CLASS: Cloud Log Assuring Soundness and Secrecy scheme for cloud Forensics”, International Journal of Engineering Technology Science and Research, Vol. 6, No. 7, July 2019.

Asian Journal of Engineering and Applied Technology is a peer-reviewed International research journal aiming at promoting and publishing original high quality research in all disciplines of engineering and applied technology. All research articles submitted to AJEAT should be original in nature, never previously published in any journal or presented in a conference or undergoing such process across the world. All the submissions will be peer-reviewed by the panel of experts associated with particular field. Submitted papers should meet the internationally accepted criteria and manuscripts should follow the style of the journal for the purpose of both reviewing and editing.

AJEAT is covering all aspects of Engineering and Applied Technology areas. Topics include, but are not limited to:

Aerospace engineering
Agricultural engineering
Architectural engineering
Bioengineering and biomedical engineering
Chemical engineering
Civil engineering
Computer engineering
Computer science and information science
Electrical engineering and electronics engineering
Environmental engineering

Industrial engineering
Metallurgical engineering
Ceramic engineering
Materials science
Metallurgy
Mechanical engineering
Nuclear engineering
Petroleum engineering
Plastics engineering and polymer science
Textile & Fashion Technology

Cloud computing provides a scalable platform for growing amount of data and processes that work on various applications and services by means of on-demand service providing. The storage services offered by clouds have become a new profit growth by providing a comparably cheapest, scalable, location-independent platform for managing users’ data. Client uses the cloud storage and enjoys the high-quality applications and services from a shared pool of configurable computing resources using cloud services. It reduces the trouble of local data storage and maintenance. But it gives severe security threats toward users’ outsourced data. Maintaining the log record securely over extended period is very crucial to the proper functioning of any organization. Log holds the record of system events specially user activities. It is the main target for malicious attackers. An attacker, breaking into a system would not try to leave traces of his or her activities behind. This proposed work mainly concentrates on the problem of log security in cloud computing system and using fully homomorphism encryption algorithm in the cloud computing log data.

Editor-in-Chief
Dr. Seshadri Ramkumar
Department of Environmental Toxicology, Texas Tech University, Texas
[email protected]
Editorial Advisory Board
Dr. Kamarul Ariffin Bin Noordin
Department of Electrical Engineering, University of Malaya, Malaysia
[email protected]
Dr. Benjamin T.F. Chung
Department of Mechanical Engineering, University of Akron, Akron, USA
[email protected]
Dr. Mohd Faiz Bin Mohd Salleh
Department of Electrical Engineering, University of Malaya, Malaysia
[email protected]
Dr. Suhana Binti Mohd Said
Department of Electrical Engineering, University of Malaya, Malaysia
[email protected]
Dr. Norrima Binti Mokhtar
Department of Electrical Engineering, University of Malaya, Malaysia
[email protected]
Dr. Mohamadariff
Department of Electrical Engineering, University of Malaya, Malaysia
[email protected]

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    Table of Contents

    Editorial Note

    Editorial Dr. Seshadri Ramkumar

    Editor-in-Chief
    Dr. Seshadri Ramkumar
    Department of Environmental Toxicology, Texas Tech University, Texas
    [email protected]
    Editorial Advisory Board
    Dr. Kamarul Ariffin Bin Noordin
    Department of Electrical Engineering, University of Malaya, Malaysia
    [email protected]
    Dr. Benjamin T.F. Chung
    Department of Mechanical Engineering, University of Akron, Akron, USA
    [email protected]
    Dr. Mohd Faiz Bin Mohd Salleh
    Department of Electrical Engineering, University of Malaya, Malaysia
    [email protected]
    Dr. Suhana Binti Mohd Said
    Department of Electrical Engineering, University of Malaya, Malaysia
    [email protected]
    Dr. Norrima Binti Mokhtar
    Department of Electrical Engineering, University of Malaya, Malaysia
    [email protected]
    Dr. Mohamadariff
    Department of Electrical Engineering, University of Malaya, Malaysia
    [email protected]

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