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BY :
AFSHAN KHATOON(095X1A0503)
DEPT. OF CSE

DATA LEAKAGE
DETECTION
INTRODUCTION
ISSUES
SCOPE
ANALYSIS
DESIGN
IMPLEMENTATIONS
DATA LEAKAGE DETECTION
 To detect whether data has been leaked by
agents.
 To prevent data leakage.
INTRODUCTIO
N
In the course of doing
business, sometimes
sensitive data must be
handed over to supposedly
trusted third parties.
Our goal is to detect when
the distributor's sensitive
data has been leaked by
agents, and if possible to
identify the agent that
leaked the data.
• WATERMARKING

PROPOSED SYSTEM
PROPOSED SYSTEM

. In the course of doing business,

sometimes sensitive data must be
handed over to supposedly trusted third
parties.
 Our goal is to detect when the
distributor's sensitive data has been
leaked by agents, and if possible to
identify the agent that leaked the data.
Types of employees that put your
company at risk
The security illiterate

The gadget nerds
The unlawful residents
The malicious/disgruntled employees
Analysis
 Distributor (D) is a system which will distribute data to agents
 Valuable Data (T) is the set of sensitive data which the system is
going to send to the agents
 Agent (U) is the set of agents to whom the system is going to send
sensitive data.
 Request from client will be either sample request or explicit request.
ARCHITECTURE DIAGRAM:

Requesting
sensitive data

Data Distributor

Agents Requesting Secured data from
the Data Distributor

Agents
ARCHITECTURE DIAGRAM:

Sensitive data is
sent

Data Distributor

Data distributor sending the secured data
to the agents

Agents
The Sent e-mail
don’t contains fake
Object/Watermarks.

Internet

Agent tries to leak the
sensitive data
Forwarded
to the
outside
world
The Sent e-mail
contains fake
Object/Watermarks.

Internet

Agent tries to leak the
sensitive data
Infected
e-mail
containing
fake
object
Implementation
The system has the following

•

Data Allocation
-- approach same as watermarking
-- less sensitive
-- add fake object in some cases

•

Fake Object
-- Are real looking object
-- Should not affect data
-- Limit on fake object insertion(e-mail inbox)
-- CREATEFAKEOBJECT (Ri, Fi, CONDi)
CONCLUSION
 In the real scenario there is no need to hand over the sensitive data to
the agents who will unknowingly or maliciously leak it.
 However, in many cases, we must indeed work with agents that may
not be 100 percent trusted, and we may not be certain if a leaked object
came from an agent or from some other source.
 In spite of these difficulties, it is possible to assess the likelihood that
an agent is responsible for a leak, based on the overlap of his data with
the leaked data .
 The algorithms we have presented implement a variety of data
distribution strategies that can improve the distributor’s chances of
identifying a leaker.
data-leakage-detection

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data-leakage-detection

  • 1.
  • 2. BY : AFSHAN KHATOON(095X1A0503) DEPT. OF CSE DATA LEAKAGE DETECTION
  • 4. DATA LEAKAGE DETECTION  To detect whether data has been leaked by agents.  To prevent data leakage.
  • 5. INTRODUCTIO N In the course of doing business, sometimes sensitive data must be handed over to supposedly trusted third parties. Our goal is to detect when the distributor's sensitive data has been leaked by agents, and if possible to identify the agent that leaked the data.
  • 7. PROPOSED SYSTEM . In the course of doing business, sometimes sensitive data must be handed over to supposedly trusted third parties.  Our goal is to detect when the distributor's sensitive data has been leaked by agents, and if possible to identify the agent that leaked the data.
  • 8. Types of employees that put your company at risk The security illiterate The gadget nerds The unlawful residents The malicious/disgruntled employees
  • 9. Analysis  Distributor (D) is a system which will distribute data to agents  Valuable Data (T) is the set of sensitive data which the system is going to send to the agents  Agent (U) is the set of agents to whom the system is going to send sensitive data.  Request from client will be either sample request or explicit request.
  • 10. ARCHITECTURE DIAGRAM: Requesting sensitive data Data Distributor Agents Requesting Secured data from the Data Distributor Agents
  • 11. ARCHITECTURE DIAGRAM: Sensitive data is sent Data Distributor Data distributor sending the secured data to the agents Agents
  • 12. The Sent e-mail don’t contains fake Object/Watermarks. Internet Agent tries to leak the sensitive data Forwarded to the outside world
  • 13. The Sent e-mail contains fake Object/Watermarks. Internet Agent tries to leak the sensitive data Infected e-mail containing fake object
  • 14. Implementation The system has the following • Data Allocation -- approach same as watermarking -- less sensitive -- add fake object in some cases • Fake Object -- Are real looking object -- Should not affect data -- Limit on fake object insertion(e-mail inbox) -- CREATEFAKEOBJECT (Ri, Fi, CONDi)
  • 15. CONCLUSION  In the real scenario there is no need to hand over the sensitive data to the agents who will unknowingly or maliciously leak it.  However, in many cases, we must indeed work with agents that may not be 100 percent trusted, and we may not be certain if a leaked object came from an agent or from some other source.  In spite of these difficulties, it is possible to assess the likelihood that an agent is responsible for a leak, based on the overlap of his data with the leaked data .  The algorithms we have presented implement a variety of data distribution strategies that can improve the distributor’s chances of identifying a leaker.