FINAL YEAR IEEE PROJECTS, EMBEDDED SYSTEMS PROJECTS, ENGINEERING PROJECTS, MCA PROJECTS, ROBOTICS PROJECTS, ARM PIC BASED PROJECTS, MICRO CONTROLLER PROJECTS Z Technologies, Chennai

1. ROBUST DATA LEAKAGE AND EMAIL FILTERING SYSTEM
OBJECTIVE:
The main objective of this project is to identify the guilty agents who are
leaking the sensitive information or data by using explicit data request and sample
data request algorithm and also Email Filtering is done by using K-nearest
neighbor algorithm.
PROBLEM DIFINITION:
 Data leakage detection is being handled by the technique of
watermarking.
 If the watermarking technique is used then the code which is
embedded in the data can be modified because of which it becomes
very difficult to identify the guilt agent or leaker.
 Data Allocation Problem.
 Data allocation depends on the request done by the agent and whether
system can add fake object to it.
ABSTRACT:
Data leakage can be elaborated as in whena data distributor has given
sensitive data to a set ofsupposedly trusted agents and some of the data isleaked
and found in an unauthorized place. Anenterprise data leak is a scary proposition.
Securitypractitioners have always had to deal with dataleakage issues that arise
from various ways like email,1M and other Internet channels. In case ofdata

2. leakage from trusted agents, the distributormust assess the likelihood that the
leaked datacame from one or more agents.
This can be doneby using a system which can identify those partieswho are
guilty for such leakage even when data isaltered. For this the system can use data
allocationstrategies or can also inject "realistic but fake" datarecords to improve
identification of leakage.Moreover, data can also be leaked from withinan
organization through e-mails. Hence, there isalso a need to filter these e-mails.This
can be doneby blocking e-mails which contains images, videos orsensitive data for
an organization. Principle used ine- mail filtering is we classify e-mail basedthe
fingerprints of message bodies, the white andblack lists of email addresses and the
words specificto spam.
EXISTING SYSTEM:
In Existing system, watermarking technique is used to identify the guilty
agents who are leaking the sensitive information or data.
 Watermarking is one of the old techniques which contain a unique
code. This unique code is embedded in each copy which is then
distributed to the clients by the user.
 If any particularclient leaks the given data to the third parties i.e.
unauthorized users, then this leaked data and the leaker can be
identified by the means of this watermarking technique.

3. DISADVANTAGES:
 However, in some cases it is important not to alter the original
distributor’s data.
Traditionally, leakage detection is handled by watermarking, e.g., a
unique code is embedded in each distributed copy.
 If that copy is later discovered in the hands of an unauthorized party,
the leaker can be identified.
 Watermarks can be very useful in some cases, but again, involve some
modification of the original data.
 Watermarks can sometimes be destroyed if the data recipient is
malicious.
PROPOSED SYSTEM:
Themain aim of the proposed system is to find out when andwho has leaked
the sensitive data.In the proposed system; it is going to implement theconcept of
"Fake Objects". Now if suppose the directorof the company wants to share some
sensitive data(records) with clients of his company but he does notwant his data to
be leaked anywhere in between. Sobefore sending the sensitive data to the clients
what theproposed system will do is it will add fake objects(record) in database
which will exactly look like originaldata. The Client will be unaware of these fake
objects.Only the director of company knows that where andhow many fake objects
are inserted.The system is going to use different modules for addingfake objects
and for detecting fake objects.

4. In worst case if agent modifies the database (deleted somerecords) and then
leaks the data then also system willmake sure that fake object will be there to
detect the guilty agent.Also implementation concept of email filtering modulein
which if agent tries to e-mail the sensitive data thenfirst the request will go to the
server and then it willcheck for fake objects in that data, and if that data issensitive
data then that e-mail will automaticallydropped. Client will not be able to send the
e-mail.
ADVANTAGES:
 If the distributor sees “enough evidence” that an agent leaked data, he
may stop doing business with him, or may initiate legal proceedings.
 In this project we develop a model for assessing the “guilt” of agents.
 We also present algorithms for distributing objects to agents, in a way
that improves our chances of identifying a leaker.
 Finally, we also consider the option of adding “fake” objects to the
distributed set. Such objects do not correspond to real entities but
appear.
 If it turns out an agent was given one or more fake objects that were
leaked, then the distributor can be more confident that agent was
guilty.
 Agent will not be able to send sensitive data through e-mail.

5. ALGORITHM USED:
1. Explicit Data Request
2. Sample Data Request
3. A-Priori Algorithm
ARCHITECTURE DIAGRAM:
Client 1 Client 2 Client 3 Client n
E-Mail
Data Leakage Detection
Filtering
System
Module
Non-sensitive Sensitive data
data
E-Mail
Firewall E-Mail Sent Discarded
Successfully
Internet

6. SYSTEM REQUIREMENTS:
Hardware Requirements:
 Intel Pentium iv
 256/512 MB RAM
 1 GB free disk space or greater
 1 network interface card (NIC)
Software Requirements:
 MS Windows XP
 MS IE Browser 6.0/later
 MS Dot Net Framework 4.0
 MS Visual Studio.NET 2010
 Internet Information Server (IIS)
 MS SQL Server 2005
 Language :ASP.Net(C#.NET)
APPLICATIONS:
1. Consultancy
2. Real Estate
3. Banks