ID-PAPC: Identity based Public Auditing Protocol for Cloud Computing

Neenu Garg, Seema Bawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

Today cloud computing has emerged as an esteemed Information Technology (IT) platform which offers variety of quality services to its users. Offering storage space is a pivotal cloud computing service where users can outsource their local data and get relieve from its maintenance burden. However, the loss of proprietorship on data creates the need of a mechanism for auditing integrity of outsourced data. Due to expertise and resource limitations, a Third Party Auditor (TPA) is required to perform an integrity audit on user's sensitive data. Data Integrity Auditing (DIA) protocols proposed so far relies completely on Public Key Infrastructures (PKI). Management of certificates of public keys in PKI is a complex process. In the proposed work, the features of Identity Based Signatures (IBS) are combined with public verification of data to construct an efficient protocol for DIA in cloud storage. Security model for proposed ID-PAPC has been established in a ROM and relies on stability of Computational Diffie Hellman Problem (CDHP).
Original languageEnglish
Title of host publication2017 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE)
PublisherIEEE
Pages14-17
Number of pages4
ISBN (Print)9781538626221
DOIs
Publication statusPublished - 20 Sept 2018
Event2017 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE) - Dehradun, India
Duration: 18 Dec 201719 Dec 2017
Conference number: 3
https://www.aconf.org/conf_121680.html

Conference

Conference2017 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE)
Abbreviated titleWIECON-ECE 2017
Country/TerritoryIndia
CityDehradun
Period18/12/1719/12/17
Internet address

Keywords / Materials (for Non-textual outputs)

  • protocols
  • cloud computing
  • cascading style sheets
  • public key
  • data integrity

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