Private and Secured data Transmission and Analysis for Wireless Ad-hoc Network

International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 04 Issue: 10 | Oct -2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 1008
Private and Secured data Transmission and Analysis for Wireless
Ad-hoc Network
Shrikant Kadam1, Pramod Lad2, Devendra Vavekar3
1,2,3 Students, DEPT. of Computer Engineering ISB&M School of Technology, Maharashtra, India
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Abstract - A lot of work has been done to secure sensitive
data. The existing solutions can protect the organizational
data during transmission, but cannot stop the inside attack
where the administrator of the organizational database
reveals the sensitive data. We propose a practical approachto
prevent the inside attack by using multiple data servers to
store data by securely distributing the dataonto multiple data
servers. These contributions are essentially different from the
solution, which relies on the Sharemind system for data
analysis without considering the collusion of data servers to
preserve the privacy of the organizational data in statistical
analysis .We propose some new privacy-preserving statistical
analysis protocols on the basis of the Paillier and ElGamal
cryptosystems. These protocols allow the user to perform
statistical analysis on the datawithoutcompromisingthedata
privacy.
The development of Privacy Protection for organizational
database was motivated by business applications; today such
networks are used in many organizational, educational and
consumer applications, such as business process monitoring
and control, and so on.What has received less attention,
however, is the critical privacy concern on information being
collected, transmitted, andanalyzed. Suchprivateinformation
may include payload data transmitted throughthenetworkto
a centralized data processing server.
To keep the privacy of the user’s data, we proposedanewdata
collection protocol which splits the user’s data into three
numbers and stores them in threedataservers, respectively. As
long as one data server is not compromised, the privacy of the
user’s data can be preserved. For the legitimate user e.g.
receiver to access the user’s data, we proposed an access
control protocol, where three data servers cooperate to
provide the user with the user’s data, but do not know what it
is
Key Words: : Encryption, Cyphertext, and Pillier
cryptography
1. INTRODUCTION
The development of Privacy Protection for organizational
database wasmotivatedby businessapplications;todaysuch
networks are used in many organizational, educational and
consumer applications, such as businessprocessmonitoring
and control, and so on.What has received less attention,
however, is the critical privacyconcernoninformation being
collected, transmitted, and analyzed. Such private
information may include payload data transmitted through
the network to a centralized data processing server.
Our objective is: Protect the user data during transmission
.Reliable data transmission, node mobility support and fast
event detection. Timelydeliveryofdata,powermanagement,
node computation and middleware.
Stop the inside attack where the administrator of the user
database reveals the sensitive information of users.The
existing solutions can protect the data during transmission,
but cannot stop the inside attack where the administratorof
the organizational database reveals the sensitive user data.
In this, we propose a practical approachtopreventtheinside
attack by using multiple data servers to store data. Themain
scopes is securely distributing the data in multiple data
servers and employing the Paillier and ElGamal
cryptosystems to perform statistical analysis on the data
without compromising theinformationprivacy.Thesolution
can protect the data privacy as long as the number of the
compromised data servers is at most one. The data privacy
can be preserved as long as at least one of three data servers
is not compromised. Even if two data servers are
compromised but one data server is not compromised, our
solution is still secure.
2. SYSTEM ARCHITECHTURE
Like most of the application with wireless sensor
network,our architecture has four system as follows
A wireless ad-hoc network which sense the user data and
transmit user data to user database system
A user data access control system which is used by the user
To access the user data and to monitor it.
User data analysis system which is used by the user to query
the user database system and analyze the user data
statically.

System Architecture
3. PROPOSED ALGORITHM
Paillier Public-Key Cryptosystem: It is composed of key
generation, encryptionanddecryptionalgorithms asfollows.
Step 1: Key generation The key generation algorithm
works as follows.
Choose two large prime numbers p and q randomly and
independently of each other such that
gcd(pq,(p-1)(q-1) )=1
Compute
N=pq,=lcm(p-1,q-1)
Where lcm stands for the least common multiple.
Select random integer g where and ensure N divides the
order of g by checking the existenceofthefollowingmodular
multiplicative inverse:
where function L is dined as
L(u)=(u-1)/N
Note that the notation a/b does not denote the modular
multiplication of a times the multiplicative inverse of b but
rather the quotient of divided by b
The public (encryption) key pk is (N,
The private (decryption) key sk is (,).
If using p,q of equivalent length, one can simply choose
where N = pq and(N)=(P-1)(q-1)
Step 2:Encryption:.
Plaintext data convert into cipertext form
Step 3: Decryption:
Let c be the ciphertext to decrypt, where the ciphertext
step 4: Homomorphic Properties A notable feature of the
Paillier cryp tosystem is its homomorphic properties. Given
two ciphertexts The product of a ciphertext with a plaintext
raising g will decrypt to the sum of the corresponding
plaintexts,An encrypted plaintext raised to a constant k will
decrypt to the product of the plaintext and the
constant,However, given the Paillier encryptions of two
messages, there is no known way to compute an encryption
of the product of these messages without knowing the
private key
4. RELEVENT MATHEMATICS
Let W be the whole system which consist
W= IP, PRO, OP
Where. IP is the input of the system.
A) IP= P, SD, SN, PD, U
1. P is the number of users in the system.
2. SN is the set of number of sensing nodes in the
system.
3. SD is the sensing data sensed from the
information SD.
4. PD is the users database system which consistsof
number databases.
5. U is the set of number of user in the systems that
are accessing the data from user database server.
B) PRO is the procedure of our proposed system:
Step 1: At first the wireless medical network which
senses the patient’s body and transmits the users
data to a users database system.
Step 2: A user’s database system which stores the
users data from distributed and provide squaring
services to users.
Step 3: A users data access control system which
issued by the user (e.g., physician) to access the
users data and monitor the users.
C) OP is the output of the system: OP is the output
of the system
The system provides the privacy to the users
sensible data available on the users database
system in the sense of inside attacks.

5. CONCLUSIONS
We have investigated the security and privacy issues in the
wireless network data collection storage and queries and
presented a complete solution for privacy-preserving
wireless network. To secure the communication between
user and data servers.
To keep the privacy of the user’s data, we proposed a new
data collection protocol which splits the user’s data into
three numbers and stores them in three data servers,
respectively. As long as one data server is not compromised,
the privacy of the user’s data can be preserved. For the
legitimate user e.g. receiver to access the user’s data, we
proposed an access control protocol, where three data
servers cooperate to provide the user with the user’s data,
but do not know what it is.
REFERENCES
[1] Xun Yi, AthmanBouguettaya, DimitriosGeorgakopoulos,
Andy Song and Jan Willemson “Privacy Protection for
Wireless Medical Sensor Data”, in proc. IEEE
Transactions on Dependable and Secure Computing,
2015.
[2] In Proc. ESORICS’08, pages 192-206D. Bogdanov, S.
LaurSharemind: a Frameworkfor Fast Privacy-
Preserving Computations
[3] Wood, A.; Virone, G.; Doan, T.; Cao, Q.; Selavo, L.; Wu, Y.;
Fang, L.; He, Z.; Lin, S.; Stankovic, J. ALARM-NET:
Wireless Sensor Networks for Assisted-Living and
Residential Monitoring; Technical Report CS-2006-01;
Department of Computer Science, UniversityofVirginia:
Charlottesville, VA, USA, 2006.
[4] Cryptography And Network Security from William
Stallings. Reference 4.

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Private and Secured data Transmission and Analysis for Wireless Ad-hoc Network