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Detection of Steganographic Intrusion in Cloud

Published on March 2015 by J.anitha Ruth, A .meenakshi, H Srimathi
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International Conference on Communication, Computing and Information Technology
Foundation of Computer Science USA
ICCCMIT2014 - Number 1
March 2015
Authors: J.anitha Ruth, A .meenakshi, H Srimathi
35c9c5e0-5b52-428e-aaa4-b7cb6e8547c4

J.anitha Ruth, A .meenakshi, H Srimathi . Detection of Steganographic Intrusion in Cloud. International Conference on Communication, Computing and Information Technology. ICCCMIT2014, 1 (March 2015), 25-27.

@article{
author = { J.anitha Ruth, A .meenakshi, H Srimathi },
title = { Detection of Steganographic Intrusion in Cloud },
journal = { International Conference on Communication, Computing and Information Technology },
issue_date = { March 2015 },
volume = { ICCCMIT2014 },
number = { 1 },
month = { March },
year = { 2015 },
issn = 0975-8887,
pages = { 25-27 },
numpages = 3,
url = { /proceedings/icccmit2014/number1/19766-7006/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Communication, Computing and Information Technology
%A J.anitha Ruth
%A A .meenakshi
%A H Srimathi
%T Detection of Steganographic Intrusion in Cloud
%J International Conference on Communication, Computing and Information Technology
%@ 0975-8887
%V ICCCMIT2014
%N 1
%P 25-27
%D 2015
%I International Journal of Computer Applications
Abstract

The customer's try to migrate the data from desktop to cloud. . The data stored in cloud is targeted by potential threat. A potential threat is caused due to malicious hacker attack or data leakage in cloud. These threats in cloud environment arises the need for providing secure and safe information security system that can protect the data that is outsourced. In this paper we propose a framework for Intrusion Detection (ID) which identifies steganographic intrusion in cloud.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Cloud Storage Steganographic Intrusion Ids.