Prashant Suryavanshi

Client: Tata Communication (Service Management) . Aug 08- Mar 09 Project Title : Service Management and Report Tracking ( SMART). Designation : Developer cum Application architect . Team Size : 2 Members . Environment : Front -End: JSP, Servlet, Java Script, HTML , Database -End: Oracle9i . Roles & Responsibilities Core member of the integration module of Tata Communication project. Involved in complete design, development, testing of Application.

Project Title : Trap shooter (Duck hunt) Mobile Game Designation : Team Member . Team Size : 2 Members . Environment : Application -End: J2me Tool: J2me Wireless Toolkit Roles & Res ponsibilities Understand the requirements and specification Programming and developing some of the features

Project Title : Ping pong Designation : Team Member . Team Size : 2 Members . Environment : Application -End: J2me Tool: J2me Wireless Toolkit Roles & Responsibilities Understand the requirements and specification Programming and developing some of t he features

Project Title : Frisbee Dog Designation : Team Member . Team Size : 2 Members . Enviro nment : Application -End: J2me Tool: J2me Wireless Toolkit Roles & Responsibilities Understand the requirements and specification Programming and developing some of the features

Client: Tata Communic ation (Sales Department) . Apr 09- August2009 Project Title : Online Quote System. Designation : Developer cum Appl ication architect . Team Size : 2 Members . Environment : Front -End: JSP, Servlet, Java Script, HTML , Google Maps. Database -End: MSSQL Server2005 , Oracle9i . Roles & Responsibilities Core member of the integration module of Tata Communication project. Involved in complete design, development, testing of Application.

Projec t Title : Automated Resume Tracking system Designation : Developer cum Application architect . Team Size : 3 Members . Environment : Front End: JSP, Servlet, Java Script, And HTML. Database -End: MS -Access This web based application which maintains th e details of Candidates, Clients, and Interview/Test Schedule. With this consultancy users can handle short listings of candidates according to requirements criteria and generating the resumes and call Letters in Report Format by using Crystal reports. Aut o mailer facility sends/receives appropriate reminders, responses, interview call letters and other details to/form user. Roles & Responsibilities Core member of the integration module of this project. Involve in complete designing, development and testing of Integration Application.

Project Title : Detection and Localization of Multiple Spoofing Attackers in Wireless Networks Designation : Developer cum Application architect . Team Size : 1 Members Environment : Front End: JS P, Servlet, Java Script, And HTML. Database -End: MS -Access Wireless spoofing attacks are easy to launch and can significantly impact the performance of networks. Although the identity of a node can be verified through cryptographic authentication, conv entional security approaches are not always desirable because of their overhead requirements. In this paper, we propose to use spatial information, a physical property associated with each node, hard to falsify, and not reliant on cryptography, as the basis for 1) detecting spoofing attacks; 2) determining the number of attackers when multiple adversaries masquerading as the same node identity; and 3) localizing multiple adversaries. We propose to use the spatial correlation of received signal strength (RSS ) inherited from wireless nodes to detect the spoofing attacks. We then formulate the problem of determining the number of attackers as a multiclass detection problem. Cluster -based mechanisms are developed to determine the number of attackers. When the training data are available, we explore using the Support Vector Machines (SVM) method to further improve the accuracy of determining the number of attackers. In addition, we developed an integrated detection and localization system that can localize the pos itions of multiple attackers. We evaluated our techniques through two Test beds using both an 802.11 (WiFi) network and an 802.15.4 (ZigBee) network in two real office buildings. Our experimental results show that our proposed methods can achieve over 90 p ercent Hit Rate and Precision when determining the number of attackers. Our localization results using a representative set of algorithms provide strong evidence of high accuracy of localizing multiple adversaries. Roles & Responsibilities Core member of the integration module of this project. Involve in complete designing, development and testing of Integration Application.