Project Engineering

Rajiv Kumar V Contact :

CISCO ID : CSCO********

Tel : +919*********

e-mail :

Date of Birth : 31 Aug 1989 **********.***@*****.***

Passport No : K3471444

Place of Issue : Madurai [pic]

Date of Expiry : 29/03/2022

Address

Plot No. S-2 Gangothri Flats, W-83 North Main Road, Anna Nagar West Extn,

Chennai-101.

Profile

Objective

Profile

To work in a professional atmosphere, where I can utilize my skills, my ability and

my confidence in the competitive world for the benefits of the organization and

self.

Post Graduate in (M.Sc Software Engineering).

Strong inter-personal skills and can quickly adapt to a new environment.

Key Skills

Technology exposure:

Proficient in Microsoft Applications.

Hardware & Networking

CCNA

Computer Knowledge:

Proficient in Microsoft Word, Excel, Access, Power-Point.

Academic Credentials

M.Sc(SE)

Noorul Islam College of Engineering, Nagercoil

69%

2012

HSC

Baren Bruck Hr.Sec School, Bungalow Surandai

55%

2007

SSLC

Baren Bruck Hr.Sec School, Bungalow Surandai

81%

2005

Project Name: Lousy and Lossless Compression for an encrypted image

Platform: .Net

Project Description:

As society has become increasingly reliant upon digital images to communicate

visual information, a number of forensic techniques have been developed to verify

the authenticity of digital images. Amongst the most successful of these are

techniques that make use of an image's compression history and its associated

compression fingerprints. Little consideration has been given, however, to

anti-forensic techniques capable of fooling forensic algorithms. In this paper, we

present a set of anti-forensic techniques designed to remove forensically

significant indicators of compression from an image. We do this by first developing

a generalized framework for the design of anti-forensic techniques to remove

compression fingerprints from an image's transform coefficients. This framework

operates by estimating the distribution of an image's transform coefficients before

compression, then adding anti-forensic dither to the transform coefficients of a

compressed image so that their distribution matches the estimated one. We then use

this framework to develop anti-forensic techniques specifically targeted at erasing

compression fingerprints left by both JPEG and wavelet-based coders. Additionally,

we propose a technique to remove statistical traces of the blocking artifacts left

by image compression algorithms that divide an image into segments during

processing. Through a series of experiments, we demonstrate that our anti-forensic

techniques are capable of removing forensically detectable traces of image

compression without significantly impacting an image's visual quality. Furthermore,

we show how these techniques can be used to render several forms of image tampering

such as double JPEG compression, cut-and-paste image forgery, and image origin

falsification undetectable through compression-history-based forensic means.

Training and Achievements :

Pursuing CCSS training in CMS Infosystems from Aug 2012 to Dec 2012.

Participated in State level championship 2006 (Volley Ball).

Volunteer in State Election 2010 as an Election officer (Video Recording using

Laptop).

Maintaining and authoring a blog powered with word press, www.eerpugal.co.in

Personal Details:

Father Name : Velsamy A.

Sex : Male.

Marital status: Single.

Nationality: Indian.

Languages Known : English,Tamil.

Date:

Rajiv Kumar V

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