alexa Ensuring Host Security of Data Provenance For Trust Aw
ISSN ONLINE(2319-8753)PRINT(2347-6710)

International Journal of Innovative Research in Science, Engineering and Technology
Open Access

Like us on: https://twitter.com/ijirset_r
OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations

700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Special Issue Article

Ensuring Host Security of Data Provenance For Trust Aware P2P Networks

R. Jayanthi
II - M.E Computer & Communications, Department of ECE, EBET Group of Institutions, Kangayam, Tamilnadu, India
Related article at Pubmed, Scholar Google
 

Abstract

Malicious software typically resides furtively on a user’s computer and interacts with the user’s computing resources. The goal is to improve the trustworthiness of a host and its data by classifying the data to secure the file. Specifically, the new mechanism is provided that ensures the provenance of critical system information and prevents bots from utilizing host resources in peer to peer systems. Data integrity defines the security property which states that the source where a piece of data is generated cannot be spoofed or tampered. This project describes a cryptographic provenance verification approach and applying classification mechanism to find out the ratio of good and bad word count before rejection of original file. This ensures system properties and the system-data integrity, and then the application is demonstrated in the keystroke integrity verification. Specifically, it first designs and implements an efficient cryptographic protocol that provides data integrity. The protocol prevents the imitation of fake key events by malware under the reasonable assumptions. Then demonstrate the provenance verification approach by realizing the lightweight framework. If the verification fails each of the content is compared with trained data set to conclude the content must be malicious to the peer so on the attack basis is just warns the peer, otherwise the file will be received successfully and safe.

Keywords

Share This Page

Additional Info

Loading
Loading Please wait..
Peer Reviewed Journals
 
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
 
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

 
© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version
adwords