P.S.R.B.SHASHANK MOULIFLAT NO : 302, E-Block,
Brindavan Rail Nivas,
Bollarum, Secunderabad.Phone :-9000290299Email :-shashankmouli3 AT gmail.comCareer Goal :
To pursue a challenging position and a rewarding career by enhancing my technical knowledge, work with commitment, enthusiasm and creativity for experience and professional growth.Academic Details :
** Master of Technologyin Computer Science and Engineering in Malla Reddy Institute of Engineering and Technology, which is affiliated to JNT University in the year 2015, Hyderabad, Secured 82%.
** Bachelor of Technologyin Computer Science and Engineering from Pulla Reddy Institute of Technology which is affiliated to JNT University in the year 2013, Wargal, Secured 68.61%.
** Intermediatefrom Nava Chaitanya Junior College in the year 2009, Hyderabad, Secured 74%.
** Secondary School Certificatefrom Siddhartha High School in the year 2007, Siddipet, Secured 70%.Technical and Analytical Skills :Languages : C, Java.Web technologies : HTML, XMLOperating systems : Windows 2000/XP, Win7, Win8.Application software : Microsoft Office, Internet explorer.Areas of Interest : Web development, Application development.Extracurricular activities :
** Presented a Poster in the International Conference (ICETETS-2014) which is held at Malla Reddy Institute of Engineering and Technology.
** Actively participated in ‘MICROSOFT APP FEST’ which was conducted by ’Pulla Reddy Institute of Technology’.Strengths :
** Stick to Basics and Encouraging Family.Project Details :M.Tech :Title :M-Privacy for Collaborative Data PublishingPlatform :Java Version: JDK 1.6 & aboveDescription :
We consider the collaborative data publishing problem for anonymizing horizontally partitioned data at multiple data providers. Sponsored links :
We consider a new type of “insider attack” by colluding data providers who may use their own data records (a subset of the overall data) to infer the data records contributed by other data providers.
The paper addresses this new threat, and makes several contributions. First, we introduce the notion of m-privacy, which guarantees that the anonymized data satisfies a given privacy constraint against any group of up to m colluding data providers. Second, we present heuristic algorithms exploiting the monotonicity of privacy constraints for efficiently checking m-privacy given a group of records.Personal Skills :
Problem Solving abilities, Good Verbal and communication SkillsPersonal Profile :Father’s name : P.S.R.K.PrasadDate of Birth : 04th Apr, 1993Sex : MaleMarital status : SingleNationality : IndianLanguages known : English, Telugu, Hindi.Hobbies : Playing and watching Sports.Declaration :
I hereby declare that statement made in this are complete and correct to the best of my knowledge and belief.Place :Date :
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