Fast Detection

7/31/2019 Fast Detection

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Fast Detection of Mobile Replica NodeAttacks in Wireless Sensor Networks

Using Sequential Hypothesis

Testing

N.Anitha (10208104003)

J.Jayakodi (10208104027)

S.Monisha (10208104045)


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A fast and effective mobile replica node detection.

To detect replica node attacks

Sequential Probability Ratio Test (SPRT)

Aim


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Sensor nodes report to base station.

Malicious attacks in sensor networks.

Dangerous attack is the replica node attack.

Time and effort.

Abstract


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Tackle the problem of replica node.

Encrypt, decrypt and authenticate.

Clocks of all nodes are loosely synchronized.

Base station communication.


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Domain

MOBILE COMPUTING

Mobile replica node detection.

Obtaining the distance information.

Communication is bidirectional.

Null and Hypothesis testing problem.


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Modules :

Neighbour node detection.

Data communication.

Attacker models.


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Hardware requirements :

Windows operating systems.

Jdk 1.6

JavaFX 1.3

Software requirements :

Hard disk : 40GB and above.

RAM : 512MB and above.

Processor : pentium iv and above


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Existing System

Static sensor networks.

Static nodes mimic the movement.

No encryption and decryption.


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Proposed System

Nodes to encrypt, decrypt and authenticate communications.

Sequential Hypothesis Test (SHT).

Sensor networks in various applications.

Detection accuracy.

Capture the original node.


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Detecting the neighbour nodes.

Tolerate potentially compromised source nodes.

Two asynchronous phases.

Secure Single hop pair wise synchronization.

Secure and global time synchronization.


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Architecture Diagram

AN-Attack node

Normal data

Attack data

Base Station

SN SN SN

ANSN

SN


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Two-dimensional mobile sensor network

System-configured maximum speed

Mobile sensor network communicate with a base station

Neighbour node detection


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Data communication

Bidirectional

Normal data communication

Elliptic curve cryptography Algorithm


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Attacker Models

Sequential Hypothesis Testing

Null hypothesis

Alternative hypothesis


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Literature Survey

S.No

Title, Author,Publication name, year

Inference of thepaper

Conclusion

1. TITLE: LocalizedMulticast: Efficient and

Distributed ReplicaDetection in Large-Scale Sensor NetworksBY:BoZhu;Setia.S, Jajodia.S,

Roy.S.,Lingyu Wang;

Publication name:Mobile Networks and

Applications,

vol :9 Issue:7. pp. 913 -926

YEAR: July 2010

Efficient in

communication and

memory costs inlarge-scale sensor

networks, and at

the same time

achieves a higher

probability of

detecting nodereplicas.

Localized Multicast

is used for

detecting nodereplication attacks .
http://ieeexplore.ieee.org/xpl/tocresult.jsp?isnumber=5466739http://ieeexplore.ieee.org/xpl/tocresult.jsp?isnumber=5466739http://ieeexplore.ieee.org/xpl/tocresult.jsp?isnumber=5466739http://ieeexplore.ieee.org/xpl/tocresult.jsp?isnumber=5466739


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S.N

o

Title, Author,

Publication name, year

Inference of the

paper

Conclusion

2. TITLE: Controlled Wi-FiSharing in Cities: ADecentralizedApproach Relying onIndirect Reciprocity

BY:Efstathiou,E.C.Franoudis,

P.A.Polyzos.

Publication name:Mobile Networks andApplications,

vol :9 Issue:7. pp. 1147 -1160

YEAR:Aug. 2010

the provision of

citywide broadband

communication

capability to mobile

users through

private Wi-Fi

networks that are in

range but belong to

others.

club algorithms are

used in

decentralized

approach.


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S.No



Conclusion

3. TITLE: MulticastAuthentication Based

on Batch Signature

BY:Yun Zhou; Xiaoyan

Zhu; Yuguang Fang;

Publication name:Mobile Networks and

Applications,vol :9 Issue:7. pp. 982 -993

YEAR: July 2010

Eliminates the

correlation among

packets and thusprovides the perfect

resilience to packet

loss

Efficient

cryptographic

primitive calledbatch signature is

used for

authentication.


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S.No



Conclusion

4. TITLE: Secure DataCollection in Wireless

Sensor Networks UsingRandomized Dispersive

Route

BY: Tao Shu; Krunz,M.; Sisi Liu; ;

Publication name:

Mobile Networks andApplications,

vol :9 Issue:7. pp. 941 -954

YEAR: July 2010

data delivery

mechanisms that

can withstand highprobability black

holes formed by

Compromised node

and denial of

service attacks. .

optimization

problem to

minimize the end-to-end energy

consumption


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S.No



Conclusion

5. TITLE: Virtual Energy-Based Encryption and

Keying for WirelessSensor Networks

BY:Uluagac.A.S.;Beyah.R.A.;YingshuLi;

Copeland,J.A.;

Publication name

: Mobile Networksand Applications,

vol :9 Issue:7. pp. 994 -1007

YEAR: July 2010

Designing cost-

efficient, secure

network protocolsfor Wireless Sensor

Networks (WSNs).

VEBEK is able to

efficiently detect

and filter false datainjected into the

network by

malicious

outsiders.


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Application and Future Enhancement

Replica detection scheme for mobile sensor networks based on

the SPRT.

Showed the limitations of a group attack strategy in which the

attacker controls the movements of a group of replicas..


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d23hwgftur

My nameMy position, contact information

or project description

conclusion

Limitations of attackers strategy.

Limit on the amount of time.

Nash equilibrium.


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References

C.-M. Yu, C.-S. Lu, and S.-Y. Kuo, Efficient and Distributed

Detection of Node Replication Attacks in Mobile Sensor Networks,

Proc. IEEE Vehicular Technology Conf. Fall (VTC Fall), Sept.2009.

G. Theodorakopoulos and J.S. Baras, Game Theoretic Modeling

of Malicious Users in Collaborative Networks, IEEE J. Selected

Areas in Comm., vol. 26, no. 7, pp. 1317-1326, Sept. 2008.

H. Wang, B. Sheng, C.C. Tan, and Q. Li, Comparing Symmetric-

Key and Public-Key Based Security Schemes in Sensor Networks:

A Case Study of User Access Control, Proc. IEEE Intl Conf.

Distributed Computing Systems (ICDCS), pp. 11-18, June 2008.

K. Xing, F. Liu, X. Cheng, and H.C. Du, Real-Time Detection of

Clone Attacks in Wireless Sensor Networks, Proc. IEEE Intl Conf.

Distributed Computing Systems (ICDCS), pp. 3-10, June 2008.


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Fast Detection

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