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Adaptive and Secure Application Partitioning for Offloading in Mobile Cloud Computing

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Security in Computing and Communications (SSCC 2015)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 536))

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Abstract

Smart phones are capable of providing smart services to the users very similar to laptops and desktop computers. Despite of all these capabilities battery life and computational capabilities are still lacking. By combining mobiles with cloud will reduce all these disadvantages because cloud is having infinite resources for processing. But in cloud security is a major concern. Since mobile devices contain private data a secure offloading of application is necessary. In this paper we are proposing a secure partitioning of application so that the most sensitive or vulnerable part of the application can be kept in the mobile and rest of the application can be offloaded to the cloud.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Amrita School of Engineering, Coimbatore, 641112, India

    N. M. Dhanya

  2. Department of Computer Science and Engineering, Coimbatore Institute of Technology, Coimbatore, 641014, India

    G. Kousalya

Authors
  1. N. M. Dhanya
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  2. G. Kousalya
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Corresponding author

Correspondence to N. M. Dhanya .

Editor information

Editors and Affiliations

  1. Deakin University, Geelong, Victoria, Australia

    Jemal H. Abawajy

  2. IBM Research-India, New Delhi, India

    Sougata Mukherjea

  3. Indian Institute of Information Technology and Management, Kerala, India

    Sabu M. Thampi

  4. University of Murcia, Espinardo, Murcia, Spain

    Antonio Ruiz-Martínez

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© 2015 Springer International Publishing Switzerland

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Dhanya, N.M., Kousalya, G. (2015). Adaptive and Secure Application Partitioning for Offloading in Mobile Cloud Computing. In: Abawajy, J., Mukherjea, S., Thampi, S., Ruiz-Martínez, A. (eds) Security in Computing and Communications. SSCC 2015. Communications in Computer and Information Science, vol 536. Springer, Cham. https://doi.org/10.1007/978-3-319-22915-7_5

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  • DOI: https://doi.org/10.1007/978-3-319-22915-7_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-22914-0

  • Online ISBN: 978-3-319-22915-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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