Computer Science Engineering

S.SIVA KUMAR,

INDIA, Andhra pradesh,

Chittoor, Ganganapalli,

D.no:28-488/3,

Ph.no: +918*********,

**************.***@*****.***.

areer Objective:

C

To be associated with a progressive association that gives me

scope to enhance my knowledge and skills in accordance with the latest trends and to be a

part of team that dynamically works towards the growth of an organization.

Educational Qualification:

. Bachelor of Technology, Computer Science and Engineering, 68.8%

Sri sai instituteof technology and science, Rayachoti, 2014.

Intermediate Maths,Physics and Chemistry,77.7 %

Narayana junior college, chittoor, 2010.

Secondary School Certificate (ssc), 75.16%

Kings English medium school, chittoor.

Special skills:

Excellent verbal, written and communication skills.

Ability to work in multi- cultural and multi-functional team environment.

Ability to work under pressure.

Technical skills profile:

Languages : C, core java.

Operating Systems : Windows family.

Packages : MS-OFFICE

VisualModelling : UML

Database : oracle 11g

Activities & Interest:

Reading books.

Playing games.

Listening to music.

Technical Symposium:

Participated in workshop conducted by kyrion digital securities(p) ltd. On

“LoopHole-Ethical Hacking”.

Participated in workshop on “Information Security Professional” at K L

University, Vijayawada.

Participated in paper presentation at Bharath college of Engineering and

Technology for women, Kadapa and achieved a second prize.

Participated in paper presentation at Swetha Institute of Technology and

science, Tirupathi.

Academics projects:

TITLE : PREVENTING PRIVATE INFORMATION INFERENCE

ATTACKS ON SOCIAL NETWORKS

ROLE : Developer

DESCRIPTION:

Online social networks,such as facebooks,are

increasingly utilized by many people. These networks allow users

to publish details about themselves and to connect to their friends.

Some of the information reaveled inside these networks is meant

to be private. Yet it is possible to use learning algorithms on

releasing data to predicate private information. We explore how to

launch inference attacks using released social networking data to

predict private information. We then devise three possible

sanitization techniques that should be used in various situations.

Then, we explore the effectiveness of these techniques and

attempt to use methods of collective inference to discover sensitive

attributes of the data set. We show that we decrease the

effectiveness of both local and relational classification algorithms

by using the sanitization methods we described.

PROJECT ENVIRONMENT: java,java servelts,html,mysql.

Personal Information:

Father’s Name : A.Srinivasulu.

DOB : 06 07 1993.

Sex : Male.

Nationality : Indian.

Languages Known : English & Telugu.

Residence No : +918*********.

Alternate Mail : ***********@*****.***

Permanent Address : 28 488/3,

Ganganapalli,

Chittoor 517001.

Declaration:

I hereby declare that the above information is true to be the best of my

knowledge and belief. In this connection, I request you to kindly give me a chance for

serving in your esteemed firm. I shall discharge my duties of the entire satisfaction of my

superiors.

S.

SIVA KUMAR

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