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International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 04 Issue: 07 | July -2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 3025
Elimination of Malicious Node by using Clustering Technique
in Mobile Ad Hoc Network
Shweta Khushwah1, Neelam Joshi2
1M.Tech Student, Dept. Of MPCT College, M.P. India
2Assistant Professor, Dept. Of MPCT College, M.P. India
---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract -MANET (Mobile Ad-hoc Network) is a popular
and widely used wireless network. MANET is a kind of self-
organizing and decentralized system. It is a network made
up of various wireless mobile nodes which collectively work
together so that transmission is feasible between any of the
nodes in the system. Nodes communicate with each other
with the direct shared wireless radio links. All the mobile
hosts act as routers in the network. Due to open and
dynamic nature, this network is quite prone to number of
attacks. In existing work, they calculated two trusted nodes
in the cluster on the basis of highest energy. Malicious node
has also highest energy and selected as a trusted node and
forward the data to other attacker and it affects the whole
network. They find two nodes in cluster with highest energy
and make them cluster head. This CH is only considered as
trusted and all the communication had done by these CHs.
When data has to transfer then CH send packet to another
cloud’s CHs only. In our proposed work, we are finding only
one cluster head which is most trusted node in a cluster. So
we are using transmission range with highest energy to
calculated cluster head. They have to fulfill both the criteria
to eliminate the selection of malicious node. Our results
show that our work has performed on NS2 and we improved
the network performance.
Key Words: Mobile Ad hoc network, Trust, DDoS Attack
and Routing Protocol.
1.INTRODUCTION
A MANET is a collection of independent mobile nodes that
might talk to every different through radio waves. The
mobile nodes which are in radio variety of every other can
directly speak, while others need the resource of
intermediate nodes to course their packets. Each of the
nodes has a wireless interface to talk with each different.
These networks are completely dispensed, and can work
at any region without the help of any fixed infrastructure
as access points or base stations.
Figure 1 indicates an easy ad-hoc networks with 3 nodes.
Node 1 and node 3 are not inside variety of every
different, but the node 2 can be used to ahead packets
among node 1and node 2. The node 2 will act as a router
and people 3 nodes collectively form an -hoc network [1].
2. WHAT IS TRUST?
The perception of trust is significant to communication
and network protocol designers where establishing trust
relationships among participating nodes is important to
enabling collaborative optimization of gadget metrics [1],
trust is described as “a fixed of relations amongst entities
that participate in a protocol. These associations are based
on the testimony engendered by the previous interactions
of entities within a protocol. In broad, if the interactions
have been realistic to the protocol, then trust will build up
between these nodes.” Trust is outlined because the degree
of belief concerning the mien of different entities [2].
1.1Trust Metrics
Trust is evaluated on different metrics and different
ways. Some schemes use continuous or discrete values to
measure the level of trust. For Example, trust is described
by a continuous value in [0, 1] or measured as discrete
cost. Threshold primarily based procedures are also used
to measure the agree with. Trust metrics which includes
fuzzy based, opportunity primarily based, similarity,
mobility, context based factors like strength, signal
electricity, hop distance etc.
1.2 Properties of Trust in MANET
A trust decision framework ought to not paintings under
the idea that all nodes are cooperative for MANETs. Trust
must be determined in a noticeably customizable way
without excessive computation and communication load.
 Trust is not static, it is dynamic.
 Trust is subjective.
 Trust isn't always necessarily transitive.
 Trust is asymmetric and not basically reciprocal.
 Trust is depending on context
2. DOS ATTACK IN MANET
Distributed DOS attack commonly happens in MANETS or
in wireless networks. It is an attack wherein a couple of
structures include collectively and goal a single gadget
inflicting a denial of service. A denial of service (DOS) is
an attack with a purpose of preventing legitimate users
from using a specified network resource such as website,
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 04 Issue: 07 | July -2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 3026
web service or computer system. A DDOS attack is sent a
large scale attempt by malicious customers to flood the
sufferer network with a vast numbers of packets. DDOS
consists as proven in Fig. First attacker builds a network of
susceptible nodes which might be used to initiate the
attack. The susceptible nodes referred to as handler and
agents. These handler and agents are then installed with
tools called attack tools, which allow the handler and
agents to carry out attacks under the control of the
attacker. The attacker motivates the handler to start the
attack, the handler then motivate the agents. The agents
flood the victim [3].
Fig -1: Architecture of DDos attack
3. LITERATURE SURVEY
Antesar M. Shabut et al. [2017] this paper investigates the
troubles of data sparsity and cold start of recommender
systems in current accept as true with fashions. It
proposes a recommender gadget with clustering method
to dynamically are seeking for similar suggestions
primarily based on a certain time frame. Similarity among
special nodes is evaluated based on essential attributes
consists of use of interactions, compatibility of statistics
and closeness among the mobile nodes. The
recommender system is empirically tested and empirical
evaluation demonstrates robustness in assuaging the
issues of records sparsity and cold begin of recommender
structures in dynamic MANET surroundings [4].
Sachi N. Shah et al.[2016] This paper proposed a new
secure trust based routing scheme which is combination of
social and QoS trust. The primary goal of our proposed
scheme is to mitigate nodes performing various packet
forwarding misbehaviors. We calculated four parameters
for trust which are control forward ratio, data forward
ratio, intimacy and residual energy. We present adversary
model of the packet dropping attack against which our
trust-based scheme is evaluated. Simulation effects in NS-2
show that the proposed scheme improves overall
performance in phrases of PDR [5].
ShabinaParbin et al.[2016] In this paper, our proposed a
trust and reputation management scheme for find out the
trusted location in MANET environment. MANETs
operates without fixed framework and all nodes in
network perform like a router in sequence to forward
information next receiver. Since the pivotal point rein lack,
MANETs are additionally pregnable routing attacks as
against various grids. Routing is one of the most serious
attacks of wormhole attacks that are easier to be
implemented nevertheless harder detection. Generally, it
operates in two phases; in the first phase, wormhole
channel nodes tend to draw more and more traffic route,
and by other phase, they loss the grid by altering or
dropping the grid traffic. In MANETs, numerous writers
have implemented diverse results to prevent attacks [6].
RaihanaFerdous et al. [2016] In this setting, three routing
protocols have been analyzed and compared: OLSR, DSR
and AODV. The metrics are being used are Packet Delivery
Ratio, Delay and Throughput. Network Simulator (NS2)
has been used as tool for the experiments. The
performance analysis of these protocols also compared for
power usage using two trust-based models: Node based
Trust Management (NTM) Scheme and TLEACH.
Simulation results show that OLSR protocol performs well
compared to AODV and DSR [7].
Shimmi Singh Rathour et al.[2016] In our proposed work
we apply the trust method which calculates by
dumpstersShafer theory, after trust calculation we apply
support vector machine to classify nodes behavior on the
basis of classification we find out malicious behavior of
nodes. The simulation we have done on NS-2.35, with the
help of these techniques we improve network efficiency in
the form of packet delivery ratio or throughput [8].
Rupayan Das et al.[2016] This paper introduces an
algorithm to design a Mobile Ad-hoc network (MANET) or
Wireless Sensor Network (WSN) and compares the effect
of different network and physical layer attacks (wormhole,
black hole, jamming, byzantine) based totally on some QOS
parameters in presence of AODV routing protocol. We
simulate various attacks using the network simulator
OPNET 14.5 and then analyze them in the basis of some
quality of service parameters under AODV routing
protocol [9].
Pradeep sing Tiwana et al.[2016] This paper is subjected
to the connection of jellyfish reorder attack on zone
routing protocol and without an assault on zone routing
protocol with the growing number of nodes. The execution
measurements are information total packets of data send
over the network, number of received data packets,
packets of distribution rate on network, thoroughpaced of
network, standardized routing load. To probe the
competence of this attack a meticulous simulative scrutiny
is done under network simulator with and beyond jellyfish
reorder attack [10].
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 04 Issue: 07 | July -2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 3027
Sunil Kumar Jangir et al.[2016] In this paper a methodical
review is done on the recent state of the research results
on wormhole attacks. The simulated results helps to
quantify the comparative performances of the different
solutions proposed. The various detection techniques and
the types of wormhole modes like In-band Channel; High
Power Transmission etc. are studied [11].
4. PROPOSED WORK
MANET is a wireless network in which the nodes
communicate through wireless medium. There are many
attacks performed by the malicious nodes. Cluster is a
method which is used to remove malicious node from the
network. Trust value of the nodes is calculated and then
cluster head is selected which is responsible for the secure
transmission of data.
In existing work, they calculated two trusted nodes in the
cluster on the basis of highest energy. Malicious node has
also highest energy and selected as a trusted node. Then it
can forward the data to other attacker and it affects the
whole network. They find two nodes in cluster with
highest energy and make them cluster head. This CH is
only considered as trusted and all the communication had
done by these CHs only. When data has to transfer then CH
send packet to another cloud’s CHs only. By this they
eliminate the malicious nodes from the network and make
path more secure.
In our proposed work, we are finding only one cluster
head which is most trusted node in a cluster. So we are
using transmission range with highest energy to calculated
cluster head. They have to fulfill both the criteria to
eliminate the selection of malicious node.
4.1 Proposed Algorithm
Step:1 Initialize network
Step:2 Find the neighbour nodes
Step:3 Compute the distance with all its neighbours
D = ∑ √ ) ) )
Step:4 Form the cluster
Step:5 now find the cluster head of every cluster by
calculating energy and transmission range of every node
The desired transmission range is calculated based on the
desired node degree and the current node degree. The
desired node degree is equal to the contention index
incremented by one and contention index is the product of
node density and the radius of cluster.
dd = ND + 1
where, ND= nodedensity*D
step 4 The transmission range is thus calculated by using
the formula of transmission range based clustering(TRBC)
Tr=√ ) )
Where, dd is the desired node degree and dc is the current
node degree and the cluster area equals the area covered
by the cluster.
Step 5 now which node is having higher energy and in the
transmission range then it is taken as cluster head and
considered as a trusted node.
5. RESULTS AND ANAYSIS
Fig -2Initialization of network
Fig -3: Communication among nodes
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 04 Issue: 07 | July -2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 3028
Fig -4: PDR Graph
Fig -5: Throughput Graph
Fig -6: Energy Graph
Fig -7: Routing Overhead Graph
6. CONCLUSION
MANET is a wireless network in which the nodes
communicate through wireless medium. There are many
attacks performed by the malicious nodes. Cluster is a
method which is used to remove malicious node from the
network. Trust value of the nodes is calculated and then
cluster head is selected which is responsible for the secure
transmission of data. Cluster formation is mainly done to
select trusted nodes in the area which can be used to
forward the packets to other cluster head. We performed
this procedure to improve the security of the network and
enhance the network performance.
REFERENCES
[1] Aarti, Dr. S. S. Tyagi “Study of MANET: Characteristics,
Challenges, Application and Security Attacks”
International Journal of Advanced Research in
Computer Science and Software Engineering, Volume
3, Issue 5, May 2013, ISSN: 2277 128X.
[2] Vijayan R, Jeyanthi N. “A Survey of Trust Management
in Mobile Ad hoc Networks” International Journal of
Applied Engineering Research ISSN 0973-4562
Volume 11, Number 4 (2016) pp 2833-2838.
[3] Shakti Arora, Arushi Bansal “Survey on Prevention
Methods for DDOS Attacks in MANETS” International
Journal of Advanced Research in Computer Science
and Software Engineering, Volume 4, Issue 7, July
2014 ISSN: 2277 128X.
[4] Antesar M. Shabut, Keshav Dahal “Social Factors for
Data Sparsity Problem of Trust Models in MANETs”
978-1-5090-4588-4/17/$31.00 ©2017 IEEE, 2017
Workshop on Computing, Networking and
Communications (CNC).
[5] Sachi N. Shah, Rutvij H. Jhaveri “A Trust-Based Scheme
against Packet Dropping Attacks in MANETs” 978-1-
5090-2399-8/16/$31.00 c 2016 IEEE.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 04 Issue: 07 | July -2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 3029
[6] Shabina Parbin, Leeladhar Mahor “Analysis and
Prevention of Wormhole Attack Using Trust And
Reputation Management Scheme in MANET” 978-1-
5090-2399-8/16/$31.00 c 2016 IEEE.
[7] Raihana Ferdous, Vallipuram Muthukkumarasamy “A
Comparative Performance Analysis of MANETs
Routing Protocols in Trust-based models” 2016
International Conference on Computational Science
and Computational Intelligence, 978-1-5090-5510-
4/16 $31.00 © 2016 IEEE.
[8] Shimmi Singh Rathour, Nitin Manjhi “Trust Base
Hybrid Approach for detection and Prevention
MANET from Attacks” 2016 International Conference
on Automatic Control and Dynamic Optimization
Techniques (ICACDOT) International Institute of
Information Technology (IIT).
[9] Rupayan Das, Sauvik Bal, Soumajit Das, Mrinal Kanti
Sarkar, Debdeep Majumder, Anirban Chakraborty and
Koushik Majumder, “PERFORMANCE ANALYSIS OF
VARIOUS ATTACKS UNDER AODV IN WSN & MANET
USING OPNET 14.5” 978-1-5090-1496-5/16/$31.00
© 2016 IEEE.
[10] Pradeep sing Tiwana, Nafiza mann “Jellyfish Reorder
Attack on Hybrid Protocol in Mnaet Dissection on
Variegated Parameters”2016 IEEE.
[11] Sunil Kumar Jangir, Naveen Hemrajani “A
Comprehensive Review On Detection Of Wormhole
Attack In MANET” 978-1-5090-5515-9/16/$31.00
©2016 IEEE.

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Elimination of Malicious Node by using Clustering Technique in Mobile Ad Hoc Network

  • 1. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 07 | July -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 3025 Elimination of Malicious Node by using Clustering Technique in Mobile Ad Hoc Network Shweta Khushwah1, Neelam Joshi2 1M.Tech Student, Dept. Of MPCT College, M.P. India 2Assistant Professor, Dept. Of MPCT College, M.P. India ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract -MANET (Mobile Ad-hoc Network) is a popular and widely used wireless network. MANET is a kind of self- organizing and decentralized system. It is a network made up of various wireless mobile nodes which collectively work together so that transmission is feasible between any of the nodes in the system. Nodes communicate with each other with the direct shared wireless radio links. All the mobile hosts act as routers in the network. Due to open and dynamic nature, this network is quite prone to number of attacks. In existing work, they calculated two trusted nodes in the cluster on the basis of highest energy. Malicious node has also highest energy and selected as a trusted node and forward the data to other attacker and it affects the whole network. They find two nodes in cluster with highest energy and make them cluster head. This CH is only considered as trusted and all the communication had done by these CHs. When data has to transfer then CH send packet to another cloud’s CHs only. In our proposed work, we are finding only one cluster head which is most trusted node in a cluster. So we are using transmission range with highest energy to calculated cluster head. They have to fulfill both the criteria to eliminate the selection of malicious node. Our results show that our work has performed on NS2 and we improved the network performance. Key Words: Mobile Ad hoc network, Trust, DDoS Attack and Routing Protocol. 1.INTRODUCTION A MANET is a collection of independent mobile nodes that might talk to every different through radio waves. The mobile nodes which are in radio variety of every other can directly speak, while others need the resource of intermediate nodes to course their packets. Each of the nodes has a wireless interface to talk with each different. These networks are completely dispensed, and can work at any region without the help of any fixed infrastructure as access points or base stations. Figure 1 indicates an easy ad-hoc networks with 3 nodes. Node 1 and node 3 are not inside variety of every different, but the node 2 can be used to ahead packets among node 1and node 2. The node 2 will act as a router and people 3 nodes collectively form an -hoc network [1]. 2. WHAT IS TRUST? The perception of trust is significant to communication and network protocol designers where establishing trust relationships among participating nodes is important to enabling collaborative optimization of gadget metrics [1], trust is described as “a fixed of relations amongst entities that participate in a protocol. These associations are based on the testimony engendered by the previous interactions of entities within a protocol. In broad, if the interactions have been realistic to the protocol, then trust will build up between these nodes.” Trust is outlined because the degree of belief concerning the mien of different entities [2]. 1.1Trust Metrics Trust is evaluated on different metrics and different ways. Some schemes use continuous or discrete values to measure the level of trust. For Example, trust is described by a continuous value in [0, 1] or measured as discrete cost. Threshold primarily based procedures are also used to measure the agree with. Trust metrics which includes fuzzy based, opportunity primarily based, similarity, mobility, context based factors like strength, signal electricity, hop distance etc. 1.2 Properties of Trust in MANET A trust decision framework ought to not paintings under the idea that all nodes are cooperative for MANETs. Trust must be determined in a noticeably customizable way without excessive computation and communication load.  Trust is not static, it is dynamic.  Trust is subjective.  Trust isn't always necessarily transitive.  Trust is asymmetric and not basically reciprocal.  Trust is depending on context 2. DOS ATTACK IN MANET Distributed DOS attack commonly happens in MANETS or in wireless networks. It is an attack wherein a couple of structures include collectively and goal a single gadget inflicting a denial of service. A denial of service (DOS) is an attack with a purpose of preventing legitimate users from using a specified network resource such as website,
  • 2. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 07 | July -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 3026 web service or computer system. A DDOS attack is sent a large scale attempt by malicious customers to flood the sufferer network with a vast numbers of packets. DDOS consists as proven in Fig. First attacker builds a network of susceptible nodes which might be used to initiate the attack. The susceptible nodes referred to as handler and agents. These handler and agents are then installed with tools called attack tools, which allow the handler and agents to carry out attacks under the control of the attacker. The attacker motivates the handler to start the attack, the handler then motivate the agents. The agents flood the victim [3]. Fig -1: Architecture of DDos attack 3. LITERATURE SURVEY Antesar M. Shabut et al. [2017] this paper investigates the troubles of data sparsity and cold start of recommender systems in current accept as true with fashions. It proposes a recommender gadget with clustering method to dynamically are seeking for similar suggestions primarily based on a certain time frame. Similarity among special nodes is evaluated based on essential attributes consists of use of interactions, compatibility of statistics and closeness among the mobile nodes. The recommender system is empirically tested and empirical evaluation demonstrates robustness in assuaging the issues of records sparsity and cold begin of recommender structures in dynamic MANET surroundings [4]. Sachi N. Shah et al.[2016] This paper proposed a new secure trust based routing scheme which is combination of social and QoS trust. The primary goal of our proposed scheme is to mitigate nodes performing various packet forwarding misbehaviors. We calculated four parameters for trust which are control forward ratio, data forward ratio, intimacy and residual energy. We present adversary model of the packet dropping attack against which our trust-based scheme is evaluated. Simulation effects in NS-2 show that the proposed scheme improves overall performance in phrases of PDR [5]. ShabinaParbin et al.[2016] In this paper, our proposed a trust and reputation management scheme for find out the trusted location in MANET environment. MANETs operates without fixed framework and all nodes in network perform like a router in sequence to forward information next receiver. Since the pivotal point rein lack, MANETs are additionally pregnable routing attacks as against various grids. Routing is one of the most serious attacks of wormhole attacks that are easier to be implemented nevertheless harder detection. Generally, it operates in two phases; in the first phase, wormhole channel nodes tend to draw more and more traffic route, and by other phase, they loss the grid by altering or dropping the grid traffic. In MANETs, numerous writers have implemented diverse results to prevent attacks [6]. RaihanaFerdous et al. [2016] In this setting, three routing protocols have been analyzed and compared: OLSR, DSR and AODV. The metrics are being used are Packet Delivery Ratio, Delay and Throughput. Network Simulator (NS2) has been used as tool for the experiments. The performance analysis of these protocols also compared for power usage using two trust-based models: Node based Trust Management (NTM) Scheme and TLEACH. Simulation results show that OLSR protocol performs well compared to AODV and DSR [7]. Shimmi Singh Rathour et al.[2016] In our proposed work we apply the trust method which calculates by dumpstersShafer theory, after trust calculation we apply support vector machine to classify nodes behavior on the basis of classification we find out malicious behavior of nodes. The simulation we have done on NS-2.35, with the help of these techniques we improve network efficiency in the form of packet delivery ratio or throughput [8]. Rupayan Das et al.[2016] This paper introduces an algorithm to design a Mobile Ad-hoc network (MANET) or Wireless Sensor Network (WSN) and compares the effect of different network and physical layer attacks (wormhole, black hole, jamming, byzantine) based totally on some QOS parameters in presence of AODV routing protocol. We simulate various attacks using the network simulator OPNET 14.5 and then analyze them in the basis of some quality of service parameters under AODV routing protocol [9]. Pradeep sing Tiwana et al.[2016] This paper is subjected to the connection of jellyfish reorder attack on zone routing protocol and without an assault on zone routing protocol with the growing number of nodes. The execution measurements are information total packets of data send over the network, number of received data packets, packets of distribution rate on network, thoroughpaced of network, standardized routing load. To probe the competence of this attack a meticulous simulative scrutiny is done under network simulator with and beyond jellyfish reorder attack [10].
  • 3. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 07 | July -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 3027 Sunil Kumar Jangir et al.[2016] In this paper a methodical review is done on the recent state of the research results on wormhole attacks. The simulated results helps to quantify the comparative performances of the different solutions proposed. The various detection techniques and the types of wormhole modes like In-band Channel; High Power Transmission etc. are studied [11]. 4. PROPOSED WORK MANET is a wireless network in which the nodes communicate through wireless medium. There are many attacks performed by the malicious nodes. Cluster is a method which is used to remove malicious node from the network. Trust value of the nodes is calculated and then cluster head is selected which is responsible for the secure transmission of data. In existing work, they calculated two trusted nodes in the cluster on the basis of highest energy. Malicious node has also highest energy and selected as a trusted node. Then it can forward the data to other attacker and it affects the whole network. They find two nodes in cluster with highest energy and make them cluster head. This CH is only considered as trusted and all the communication had done by these CHs only. When data has to transfer then CH send packet to another cloud’s CHs only. By this they eliminate the malicious nodes from the network and make path more secure. In our proposed work, we are finding only one cluster head which is most trusted node in a cluster. So we are using transmission range with highest energy to calculated cluster head. They have to fulfill both the criteria to eliminate the selection of malicious node. 4.1 Proposed Algorithm Step:1 Initialize network Step:2 Find the neighbour nodes Step:3 Compute the distance with all its neighbours D = ∑ √ ) ) ) Step:4 Form the cluster Step:5 now find the cluster head of every cluster by calculating energy and transmission range of every node The desired transmission range is calculated based on the desired node degree and the current node degree. The desired node degree is equal to the contention index incremented by one and contention index is the product of node density and the radius of cluster. dd = ND + 1 where, ND= nodedensity*D step 4 The transmission range is thus calculated by using the formula of transmission range based clustering(TRBC) Tr=√ ) ) Where, dd is the desired node degree and dc is the current node degree and the cluster area equals the area covered by the cluster. Step 5 now which node is having higher energy and in the transmission range then it is taken as cluster head and considered as a trusted node. 5. RESULTS AND ANAYSIS Fig -2Initialization of network Fig -3: Communication among nodes
  • 4. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 07 | July -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 3028 Fig -4: PDR Graph Fig -5: Throughput Graph Fig -6: Energy Graph Fig -7: Routing Overhead Graph 6. CONCLUSION MANET is a wireless network in which the nodes communicate through wireless medium. There are many attacks performed by the malicious nodes. Cluster is a method which is used to remove malicious node from the network. Trust value of the nodes is calculated and then cluster head is selected which is responsible for the secure transmission of data. Cluster formation is mainly done to select trusted nodes in the area which can be used to forward the packets to other cluster head. We performed this procedure to improve the security of the network and enhance the network performance. REFERENCES [1] Aarti, Dr. S. S. Tyagi “Study of MANET: Characteristics, Challenges, Application and Security Attacks” International Journal of Advanced Research in Computer Science and Software Engineering, Volume 3, Issue 5, May 2013, ISSN: 2277 128X. [2] Vijayan R, Jeyanthi N. “A Survey of Trust Management in Mobile Ad hoc Networks” International Journal of Applied Engineering Research ISSN 0973-4562 Volume 11, Number 4 (2016) pp 2833-2838. [3] Shakti Arora, Arushi Bansal “Survey on Prevention Methods for DDOS Attacks in MANETS” International Journal of Advanced Research in Computer Science and Software Engineering, Volume 4, Issue 7, July 2014 ISSN: 2277 128X. [4] Antesar M. Shabut, Keshav Dahal “Social Factors for Data Sparsity Problem of Trust Models in MANETs” 978-1-5090-4588-4/17/$31.00 ©2017 IEEE, 2017 Workshop on Computing, Networking and Communications (CNC). [5] Sachi N. Shah, Rutvij H. Jhaveri “A Trust-Based Scheme against Packet Dropping Attacks in MANETs” 978-1- 5090-2399-8/16/$31.00 c 2016 IEEE.
  • 5. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 07 | July -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 3029 [6] Shabina Parbin, Leeladhar Mahor “Analysis and Prevention of Wormhole Attack Using Trust And Reputation Management Scheme in MANET” 978-1- 5090-2399-8/16/$31.00 c 2016 IEEE. [7] Raihana Ferdous, Vallipuram Muthukkumarasamy “A Comparative Performance Analysis of MANETs Routing Protocols in Trust-based models” 2016 International Conference on Computational Science and Computational Intelligence, 978-1-5090-5510- 4/16 $31.00 © 2016 IEEE. [8] Shimmi Singh Rathour, Nitin Manjhi “Trust Base Hybrid Approach for detection and Prevention MANET from Attacks” 2016 International Conference on Automatic Control and Dynamic Optimization Techniques (ICACDOT) International Institute of Information Technology (IIT). [9] Rupayan Das, Sauvik Bal, Soumajit Das, Mrinal Kanti Sarkar, Debdeep Majumder, Anirban Chakraborty and Koushik Majumder, “PERFORMANCE ANALYSIS OF VARIOUS ATTACKS UNDER AODV IN WSN & MANET USING OPNET 14.5” 978-1-5090-1496-5/16/$31.00 © 2016 IEEE. [10] Pradeep sing Tiwana, Nafiza mann “Jellyfish Reorder Attack on Hybrid Protocol in Mnaet Dissection on Variegated Parameters”2016 IEEE. [11] Sunil Kumar Jangir, Naveen Hemrajani “A Comprehensive Review On Detection Of Wormhole Attack In MANET” 978-1-5090-5515-9/16/$31.00 ©2016 IEEE.