A two tier approach for preventing black hole attack and improving efficiency

IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308
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Volume: 04 Issue: 04 | Apr-2015, Available @ http://www.ijret.org 810
A TWO TIER APPROACH FOR PREVENTING BLACK HOLE
ATTACK AND IMPROVING EFFICIENCY
Avinash Gada1
, Praveen Naik2
1
M.Tech, CS&E, Acharya Institute of Technology, karnataka, India
2
Assistant Professor, Acharya Institute of Technology, karnataka, India
Abstract
One of the most emerging and trending in the field of networking is secure routing to overcome many hindrances that are
occurring in day to day lives. Thus providing efficient mechanisms for such networks is the most challenging one. MANET’s
(Mobile Adhoc Networks) are a combination of several independent nodes without any fixed infrastructure, dynamic topology,
battery constraints, and lack of centralized mechanism, because of its architecture/outlier they are more vulnerable to various
kinds of passive and active attacks, such as black hole attack, grey hole attack, wormhole attack. Providing/Implementing a multi
tier/two tier security mechanism helps in elevating such kinds of active attacks to some extent.
Keywords: Black Hole attack, MANET, Clustering, Encryption.
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1. INTRODUCTION
A MANET consists of several independent nodes that are
aimed to perform specific tasks Ad hoc networks offer
minimal operating costs, higher flexibility, good coverage
and better throughput due to the involvement of individual
nodes. since each node in a MANET is self configured
without any centralized control mechanism, infrastructure
less, readily configured, the MANETs are deployed in vast
kind of applications such as military operations, rescue
operations, weather fore casting and many more in our day
to lives. Because of its behavior and its infrastructure, its
became a boom for many attackers to exploit it in many
ways and making it more vulnerable, since the MANETs
are more susceptible to various kinds of attacks providing an
efficient and effective mechanisms to combat several attacks
is the most challenging one. This paper aims at improving
the security mechanism by providing two tier architecture
such that to some extent the efficient performance and attack
free network could be visualized.
2. A SURVEY ON BLACK HOLE ATTACKS
2.1 Prevention of Black Hole Attack in MANET
An ad hoc network is a collection of individual mobile
nodes dynamically forming a temporary network. It operates
in the presence of non centralized infrastructure. One of the
dominant protocols used in ad hoc networks is AODV
(Adhoc on demand distance vector) protocol, meant to
provide a wide range of services for many mobile users by
means of good structured architecture. Energy depletion,
channel errors, loss of packets is some of the limitations of
MANETs. The AODV protocol is being compromised by
security of the Black hole attack. The Black hole attack is a
kind of the attack that causes diversion of the data packets to
an unknown node which is not a part of the network, the
malicious node advertises as having a shortest path from the
node with which it want to intercept. In this paper it the
faster message verification, black hole identification, safe
routing and black hole routing is being avoided.
2.2 Removal of selective Black Hole Attack in
MANET by AODV Protocol
Mobile AdHoc networks are independent and self forming
wireless networks. A MANET is composed of several
independent users communicating over constrained
bandwidth. Because of the independent mobile nodes the
topology of the network keeps on changing indigenously. A
black hole attack on MANET refers to an attack by falsely
advertising sequence number, hop count and acquires a
routing message from source to the destination. This paper
focuses on preventing the selective black hole by activating
the trusted nodes and preventing the data loss and analyzing
the performance of the trusted nodes after inserting them
into the network. The trusted nodes are replaced with the
nodes that are being attacked and hence loss of energy is
being preserved.
2.3 Detection and Prevention of Black-Hole Attack
in MANETS
In this the authors have proposed the concept of clustering
and clustering head, because of fewer requirements and
quickly deployable, MANETs are most suitable for a
various kinds of applications such as Rescue operations,
Military operations and Day to Day applications. A black-
hole attack in MANET occurs due to the presence of
malicious nodes of malicious nodes in the network attracts
several data packets by advertising a fake route to the
destination before the actual route reaches the source. The
concept of clustering approach is proposed in AODV
protocol for detecting and preventing black hole attack. In
this approach each and every member of the cluster ping to
the cluster head to detect any difference between the
number of data packets sent and received by the node, if any
ambiguity is observed all the nodes discard the malicious
node from the network. The analysis is being carried in
terms of Packet Delivery ratio, Detection Rate, Throughput

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and the simulation results are being obtained using NS2
simulator tool.
2.4 Detection and Prevention Of Black Hole Using
Clustering in MANET using Ns2
A MANET consists of wireless independent nodes that
communicate with each other without the need of any fixed
infrastructure or any base station. That’s why MANETs
have a lot of applications where fixed infrastructure is no
more used. Nodes in the MANET are independent and are
capable of functioning on its own in the absence of fixed
infrastructure. MANETs are susceptible to various kinds of
attacks due to their dynamic behavior, and since each node
is independent and can join/leave the network at any instant
of time. Black node is a kind of node that causes drop in
packets by replying false route requests and doesn’t contain
any path to the destination. The author proposed the concept
of eradicating black node at a distributed level.
2.5 A Novel approach for preventing Black-Hole
Attack in MANETs
A Black-Hole attack is a type of attack in MANET occurs
due to the presence of malicious nodes, that falsely
advertises the fake fresh route to the destination. This paper
presents a clustering approach for detection and prevention
of Black-Hole attack in the presence of AODV protocol. In
this approach every member of the cluster will ping to the
cluster head to detect the peculiar difference between the
number of data packets that are sent and received by the
node. If any invariance is seen then , all the nodes will
obscure the malicious node from the network. In this the
authors have proposed a light weight solution which is based
on simple acknowledgement to scheme to prevent Black
Hole attack it can be merged with any existing on demand
adhoc routing protocols, with this approach the mobile
check-points detect the presence of several black hole nodes.
The detection and throughput rates are improved by 4 and
1.5 times respectively.
3. RELATED WORK
This section describes the previous works that are being
carried out and how it could be related to our proposed
work. According to various considerations MANET security
is the prime concern in every aspect. Moreover the security
schemes have a vast impact on throughput, delay, and other
hindrances. They need some overhead and consume network
resources and thus decrease throughput significantly, earlier
works considered throughput and security separately in
designing a MANET with which the overall optimization of
the network could not be achieved in terms of performance.
By jointly designing upper layer and physical layer security
schemes related to channel conditions and relaying
cooperativeness ensures the optimal throughput.
To analyze the Black hole various approaches have been
proposed. Accordingly a MANET is used in wide
applications, for example communication between the nodes
through insecure links arises a security problem, MANET is
susceptible to various kinds of attacks such as black hole
attack, worm hole attack, grey hole attack, Sybil attack,
flooding attack and route table alteration attack. To
overcome black hole attack intrusion detection system,
sequence number comparison, trust based routing approach,
sequence number comparison have been proposed in the
earlier studies. Trust base routing mechanisms identifies and
decreases the number of malicious nodes and dangers in the
path.
In order to detect and identify the black hole a trust based
mechanism is proposed, in which the nodes in the network
calculate the trust value of the neighboring nodes, if any
node is found to be less than the calculated trust value, and
then it’s treated as a malicious node and avoided in the data
communication paths. This ensures that the AODV protocol
is being secured and the MANET is being avoided with
Black hole attack.
The black hole attack in a MANET is a serious issue and
various steps must be taken to overcome such issue. In a
black hole attack more than one node is malicious
identifying and detecting is cumbersome. Several
approaches have been proposed to overcome the black hole
in the presence of AODV protocol. Forced Routing
information modification prevents the attack by automatic
error correction that leads the node to select the correct path
in the routing path, thus securing the network from attack
and also providing the communication link between the
server and access point, and thus making it more secure by
transferring the data flow through the trusted nodes between
server, access points, and the nodes.
Since every node in the MANET has to rely on another for
data transmission, cooperativeness among the nodes must be
maintained. However, it is hard to encourage
cooperativeness among the nodes, each node has limited
resources that need to be secured and the nodes become
selfish and could not help in data transmission process, such
nodes are known as selfish nodes. It leads to several issues
such as Quality Of Service (QoS), routing, security, auto-
configuration and resource management. A highly reliable
cooperativeness must be established to attain a significant
data transfer without compromising the network resources.
The structured classification of these clustering schemes
enables us to better understand and make significant
changes. In MANET the movement of nodes change the
topology quickly resulting in increased overhead in message
transfers. The protocols try to keep the number of nodes
within the cluster so as to attain the better functionality. The
cluster head is selected on-demand so as to improve the
communication costs.
This section provides the previously made contributions
with respect to MANET security and the dominant black
hole attack and its overcoming. The proceeding section
describes the proposed methodology to detect and prevent
the black hole in a MANET.

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4. PROPOSED METHODOLOGY
The proposed approach provides the clustered organization
of the nodes where the nodes and the node heads are
distributed as following:
1) Cluster nodes: These nodes are a part of the network and
participate in data communications, at any instant of time
these nodes may leave or may be a part of another cluster.
2) Two Cluster heads: These cluster heads act as a check in
point and monitors the incoming/outgoing data flow path in
a cluster, these two cluster heads act as a double layer
security mechanism in which if the inspection is not done at
the first node then it could be carried out in second node,
and these are also responsible for establishing
communication among other clusters , and also keeping the
profile information of all the nodes under it such as trust
value, data transmitted/received by individual nodes and the
node behavior.
3) Monitoring node: This node acts as a centralized node,
responsible for managing all the tasks carried out in a
MANET, such as monitoring all the nodes, inspecting the
data flow routing, pinging all the cluster heads to ensure its
involvement in the network monitoring.
Fig -1: Schematic organization of cluster nodes, cluster
heads and monitoring node
Once the cluster formation is done the nodes in a cluster
interact with each other and ping to cluster head and start
establishing communications with it. The nodes in a cluster
are assumed to be trusted nodes such that their profile
information is maintained at the cluster head and monitoring
node, this enables secure routing in a MANET and limits the
probability of vulnerability. After establishing the
communications between the cluster nodes, cluster head and
the monitoring node, the nodes in MANET are distributed
with public keys by a monitoring node, if the nodes need to
establish a communication with other nodes/cluster
head/monitoring node, then they must exchange the private
keys and if they are matched then secure communication
takes place between them.
Initially all the nodes are kept with the profile information
of all the nodes, such that upon receiving a private key the
nodes must ensure proper data exchange by checking the
profile information of other node and upon matching the
desired information the data exchange takes place.
When a black hole is found to exist, and try to establish a
network connection upon receiving a public key if it tries to
act as a part of the network and start communicating with
other nodes in the network. communication with it hampers,
since the profile information of a black hole node is not
updated and marked it as a fake node and ping monitoring
node via cluster head, and updates the information regarding
unknown node, which in turn the monitoring node populates
the same information to all the other nodes such that in the
future if the same attack exits then it is no longer taken into
account. With this approach the advent of Black hole attack
is detected and prevented with dual security mechanism.
The same approach could be applied for worm hole attack, it
involves two unknown nodes and tends to be a part of the
network, one node forms a part of the network and transfers
all the data flow through a tunnel to the node on the other
end, if these nodes are detected through encryption
mechanisms they can no longer be a part of the network, the
worm hole attack prevention could be visualized to some
extent.
By taking throughput into consideration the, maximum
throughput could be achieved only in the absence of
vulnerable attacks, with this dual secure mechanism an
enhanced result could be expected, even if an attack occurs
chances of attacking the network could be completely
reduced. This results in better QoS, monitoring the dynamic
behavior of the nodes, the data flow routing, number of data
packets sent or received by an individual node. With these
properties a network is assumed to be trust worthy and more
efficient as compared with a network having loads of attacks
and vulnerabilities in it.
Since the MANETs are applied in a wide range of
applications, it became a boon for many of the attackers to
exploit it in various ways; efficient mechanisms must be
implemented by taking considerations in all the aspects with
respect to resource utilization, QoS, throughput, attacks.
5. DESIGN AND ARCHITECTURE
The clusters are formed randomly by selecting few nodes
and from those nodes the cluster head and the monitoring
node is selected based on parameters like highest residual
energy and the distance parameter, the design part of the
network consists of a two cluster heads for each cluster and
a monitoring node, such that the cluster head acts a check in
and checkout point for the data flow that is transferring
within and outside the network, and also monitors the data
flow between inter and intra cluster communications, the
monitoring node acts as an overall supervision of the

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network and also maintains all the information about the
cluster heads, cluster nodes, and the data flow path
sent/received by each node in a data communication
process.
Fig -2: Cluster heads, Cluster nodes and Monitoring node
The efficiency of the network could be improved with
respect to performance, throughput and delays, with the two
tier mechanism the attacks could be minimized and the
normal functioning of the network continues without any
interruptions which leads to increased throughput and also
lesser end to end delays, that leads to increased
performance, with this approach the overall efficiency of the
network could be visualized when compared with the earlier
works this paper mainly focuses on security parameter with
the two tier mechanism the chances of attacking a network
could be minimized to some extent and the increase in
throughput and performance could be analyzed.
Fig -3: Enhanced Throughput

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6. CONCLUSION
In this paper we have presented a complete overview on
Black hole attack and its impacts, and an approach to
overcome such kind of related attacks such that even under
this kind of attacks the operations can be carried out in a
hassle free manner, and mainly focuses on secured and
efficient mechanism to prevent Black hole attack in such a
way that the throughput could be minimized and to increase
the performance of the network to some extent.
REFERENCES
[1]. Pooja Jaiswal and Dr. Rakesh Kumar, “Prevention of
Black Hole Attack in MANET”, IRACST, Vol.2, No5,
October 2012
[2]. T.Manikandan, S.Shitharth, C.Senthilkumar,
C.Sebastinalbina, N.Kamaraj, “Removal of Selective Black
Hole Attack in MANET by AODV Protocol, IJCIET’14,
Volume 3, Special Issue 3, March 2014.
[3]. Gurnam Singh, Gursewak Singh “Detection and
Prevention Of Black Hole Using Clustering In MANET
Using Ns2”, IJECS, Volume - 3 Issue -8 August, 2014
[4]. Rashmi, Ameeta Seehra, “Detection and Prevention of
Black-Hole Attack in MANETS “, IJCST, Volume 2 Issue
4, Jul-Aug 2014.
[5]. Rashmi, Ameeta Seehra, “A Novel Approach for
Preventing Black-Hole Attack in MANETs”, IJCSIT,
Volume 2, No.3, September 2014.
BIOGRAPHIES
Avinash Gada, M.Tech(IV sem),
Computer Science & Engineering,
Acharya Institute of Technology,
Bangalore.
Praveen Naik, currently working as
Assistant Professor, Dept. of Computer
Science & Engineering in Acharya
Institute of Technology, Bangalore, and
having 10 years of experience in
teaching and industry and pursuing PhD
in the field of Software Engineering.

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