Ppt 1st Review_2

8/2/2019 Ppt 1st Review_2

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Under The Guidance OfMr.J.Britto Dennis M-TechLecturer - IT

By

P.Karthikeyan

A.KarthikJ.Ashok kumarA.Arul vimal Antony

Final ITDSEC.


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A data distributor has given sensitive data toa set of supposedly trusted agents but some of thedata is leaked and found in an unauthorized place.Our goal is to detect when the distributors sensitivedata has been leaked by agents, and to identify theagent who leaked data. We propose data allocation

strategies and implement algorithms with fakeobjects.


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Data sharing is more important in business.

sometimes sensitive data must be handed over to

trusted third parties. A data distributor give their data to agents. The data

may be leaked by agents. The distributor must assess the likelihood that the

leaked data came from one or more agents, as opposedto having been independently gathered by othermeans.


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WATERMARKING:-

Unique code is embedded in each distributedcopy.

If that copy is later discovered in the hands of

an unauthorized party, the leaker can beidentified . A watermarking is mainly used for

embedding or hiding the information.


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Some modification of the original data.

Watermarks can sometimes be destroyed if

the data recipient is malicious.

If the watermarked copy is found at some

unauthorized site ,then distributor can claim

his ownership.


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Data allocation strategies:

Two algorithms are present in this allocation

strategies.

Sample data request

Explicit data request

Fake objects:

Does not correspond to real entities but appearrealistic to the agents.

Fake objects are created by data distributor and it

consist of set of objects, subset of fake objects and

conditions.


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Complex to identify the fake objects .

Difficult to remove fake objects from distributed

objects by agents.

Avoid sending more data.


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OPTI

MIZA

TION

AGENT 2

AGENT 3

DATA

DISTR

IBUT

OR

AGENT 1

ALGORITHM

IDENTIFYING THE

PROBABILITY OF

LEAKAGE

DETECT THE

GUILTY AGENT

LEAKAGEAGENT 4

SAMPLE DATA REQUESTEXPLICIT DATA REQUEST

ORIGINAL

DATA+FAKE

OBJECTS

LEAKAGE

DATA OBJECT

1

2

3

4

5

6


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Data Distributor Module

Optimization Module

Fake Object Module

Data Allocation Module


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A data distributor has given sensitive data to

trusted agents. Some of the data is leaked and found in an

unauthorized place. The distributor mustassess the likelihood that the leaked data came

from one or more agents, as opposed to havingbeen independently gathered by other means.


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The Optimization Module is the distributors data

allocation to agents has one constraint and one

objective. The distributors constraint is to satisfy agents

requests, by providing them with the number ofobjects .

Objective is to be able to detect an agent wholeaks any portion of his data.


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The distributor may be able to add fake objects

to the distributed data in order to improve hiseffectiveness in detecting guilty agents. Use of fake objects is inspired by the use of

trace records in mailing lists. Function : CreateFakeObject(Ri,Fi,condi).


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How can the distributor intelligently give

data to agents in order to improve the chancesof detecting a guilty agent. Allocation based on sample data request and

explicit data request.


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We are not using access control policies

because it allows only authorized users toaccess the sensitive data. However , these

polices are restrictive and may make it

impossible to satisfyagents requests.


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P. Papadimitriou and H. Garcia-Molina, Dataleakage detection, IEEE Transactions onKnowledge and Data Engineering.

S. Czerwinski, R. Fromm, and T. Hodes. Digitalmusic distribution and audiowatermarking.

L. Sweeney. Achieving k-anonymity privacy

protection using generalization and suppression.

Ppt 1st Review_2

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