Comparison of the performance of trsaodv with aodv under blackhole attack in manets

IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308
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Volume: 05 Issue: 01 | Jan-2016, Available @ http://www.ijret.org 221
COMPARISON OF THE PERFORMANCE OF TRSAODV WITH AODV
UNDER BLACKHOLE ATTACK IN MANETS
Gayathri. D1
, S. JanakiRaman2
1
Research Scholar, Bharathiar University, Coimbatore, Tamil Nadu, India.
gayathridhananjayan@gmail.com
2
Assistant Professor, Department of Banking Technology, Pondicherry University, Pondicherry, India.
jana3376@yahoo.co.in
Abstract
A MANET is a self configuring, decentralized network of mobile nodes with limited energy and bandwidth. They have dynamic
topology which means their topology keeps changing. These bring lot of challenges in routing. Since there is no central authority
the mobile nodes act both as hosts as well as routers. They provide great comfort due to their portability and ease of installation
with no infrastructure but their nature brings in security issues which could not be compromised which paves way for extensive
research. They are vulnerable to many attacks and one such attack, Black hole Attack is implanted and a Trust based AODV,
TRSAODV has been proposed to overcome the attack and a comparative analysis of proposed TRSAODV with AODV is done in
this paper.
KeyWords: MANET; Blackhole Attack; AODV; Trust; TRSAODV;
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I. INTRODUCTION
MANETs are Mobile Ad-hoc Networks where the mobile
nodes come in to communication without a fixed
infrastructure. This indicates they can be formed and
resolved at any point of time or at anyplace. This nature
makes them ideal for military operations, rescue operations,
battle-field area and where ever infrastructure is severely
damaged are not present. This decentralized nature paves
way for various attacks in MANETs, where valuable
information is compromised. The attacks are by malicious
nodes or by active nodes which can be categorized in to
active attacks or passive attacks. While passive attacks just
listen to the channel, active attacks usually take place inside
the network. Some common and prevailing active attacks are
Rushing attack, Wormhole Attack, Jellyfish Attack, Black
hole Attack and Neighbor attack. Black hole attack has been
implemented in this simulated MANET and a comparison
analysis of proposed Trust based AODV, TRSAODV with
AODV is analyzed. This paper gives a overview of AODV
protocol and that of a Black hole attack. It then gives the
framework of trust implemented in the TRSAODV protocol.
Following is the simulation model details and discussion of
the result and the future extension of the work.
II. OVERVIEW OF AODV PROTOCOL
AODV is a protocol, finding the route to the destination only
on demand. This protocol maintains the routing table in the
nodes and not in the packets in order to reduce the memory
overhead. AODV makes use of the destination sequence
number for the route’s freshness which prevents looping. It
goes as follows. If the source node has the route to the
destination node then it forwards the packet via that route to
the destination. Destination sequence number of the sought
route in the recipient node’s routing table greater than the
destination sequence number in RREQ packet itself,
indicates the route is fresh route. Else the source starts
flooding the RREQ packets to its neighbor nodes. The
neighbor nodes checks if they are the destination. If they are
the destination they forward the RREP packets to the source
node else they forward the RREQ packets to their neighbor
nodes follow the same procedure. The neighbor nodes on
receiving the RREQ packets check if they have route to the
destination. If they have they send the RREP message with
the route to destination. This is possible because on receiving
the RREQ packets they cache route back to the originator of
RREQ. The RREP packet is checked for the destination
sequence number to be greater than that of the RREQ packet
by the sender. If it is, the sender establishes the route to the
destination.
Every node on receiving RREP packet also creates a route to
the destination in the routing table. Hence, at the time when
RREP packet reaches the source node, all the intermediate
nodes in the shortest route path will have routes to source as
well as destination. AODV uses HELLO messages to ensure
its presence to its neighbors periodically. It uses the RRER
packets about the link failure.
III. BLACKHOLE ATTACK
Black hole attack is a kind of Active attacks in MANET. In
this a malicious node uses its routing protocol in order to
advertise itself for having the shortest path to the destination
node or to the packet it wants to intercept. This hostile node
advertises its availability of fresh routes irrespective of
checking its routing table. In this way the attacker node will
always have the availability in replying to the route request
and thus intercept the data packet and retain it.

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In AODV Black hole attack the malicious node “X” first
finds the route which is active between the source node and
the destination node. Then it sends the RREP packet which
contains the spoofed destination address including small hop
count and large destination sequence number than normal to
the node “B” which is the actual destination. Node “Y”
forwards this RREP packet from the node “X” to the source
node “A”. Now the sender or the source node uses this route
to forward the data packet which is caught by the malicious
node and dropped. Hence there is no communication of the
sender and receiver in the black hole attack.
Malicious node (drops the packet)
DATA
RREP high DSN
RREP high DSN RREP low DSN Receiver
DATA
Sender
X
A
Y
B
C
Fig-1: Black Hole Attack
IV. TRSAODV-TRUST IMPLEMENTED AODV
Trust is a metric implemented in AODV in order to enhance
the security issues in MANETs. Many research work are
being carried out in order to have better performance of
MANETs. Here Trust has been quantized and implemented
to have better outcome. Trust is the reliability of one node
on another. Trust is dynamic, subjective, asymmetric,
context dependent, not necessarily transitive. Normal
AODV performs well in the absence of any attacks in the
network but in presence of Black hole attack its performance
decreases drastically and to overcome this Trust is being
introduced.
Framework TRSAODV
Trust is a metric implemented in AODV in very simple yet
effective way in order to overcome black hole attack. It is
done by monitoring the packets forwarded in promiscuous
mode. The detection is done by buffer of packets stored that
have been recently sent for forwarding. A cyclic buffer is
used for the packets storage. Two circular buffers have been
used one to store the general packets forwarded and another
to store the packets that are promiscuous watched. When the
packets delayed for forwarding or if they have not been
forwarded for a very long time the last element is erased thus
decreasing the trust value of that node which is expected to
actually forward the packet. If the packet has been
successfully forwarded that packet is removed from the
buffer, increasing the trust value of the node.
The promiscuous monitoring is implemented using tap
function as follows:
Void TRSAODV : : tap ( const packet *p)
The value is initialized to be zero. Then it is incremented that
are detected to forward packets and are decremented for
nodes that do not forward packets. Hence the route with
node’s trust value which is higher is taken for routing and the
malicious node whose trust value falls down is blacklisted
and avoiding them in packet forwarding.
Map<int, TrustNode*>
Node id : int Trust Node *
Node id : int Trust node *
N1
.
.
.
.
.
.
.
.
.
.
.
Node id : int
Trust value : double
…
Packet buffer :
circular buffer
General packet
buffer : circular
buffer
Fig-2: Trust Map
V. SIMULATION RESULT AND ANALYSIS
Under the Linux system in a virtual machine, NS2 has been
used to simulate the network environment carried on a
analysis of TRSAODV protocol and AODV. The examined
protocols are TRSAODV and AODV with black hole
implemented. The number nodes were from ten to hundred
and the number of black hole attackers were varied from one
to five. The traffic type is constant bit rate (CBR)
,transmission range of 250 meters with the MAC layer
802_11 implemented. The simulation time has been set to
100 seconds with area of 1500 * 1000. Here the packet
delivery ratio and throughput are the metrics considered for
the performance analysis of TRSAODV and AODV.
Table-1: Simulation Parameter Values
PARAMETER VALUES
EXAMINED PROTOCOLS AODV, TRSAODV
TRAFFICTYPE CONSTANT BIT RATE (UDP)
PACKET SIZE 1000 BYTES
SPEED 5M/S
SIMULATION TIME 100S
AREA 1500 * 1000
PROPAGATION TWO RAY GROUND
MAC LAYER 802_11
ANTENNA OMNI ANTENNA
The investigation had been carried out considering
throughput and packet delivery ratio with varying number of

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nodes where the number of attackers is kept constant and
with varying number of attackers where number of nodes is
kept constant.
A. Packet Delivery Ratio
Packet Delivery Ratio is the ratio of data packets delivered to
the destination to those generated by the source. In the first
scenario of varying number of attackers the Packet Delivery
Ratio of both AODV and TRSAODV tend to decrease
gradually. However, the TRSAODV’s Packet Delivery Ratio
remains considerably higher than that of the AODV where it
becomes negligible for higher number of attackers.
In the case of varying number of nodes the Packet Delivery
Ratio of TRSAODV increases gradually and remarkably but
for the AODV the increase is negligible and for more dense
network there is a raise in the Packet Delivery Ratio which
speaks about the fairness of TRSAODV.
Fig-3: Packet Delivery Ratio versus Number of Attackers
Fig-4: Packet Delivery Ratio versus Number of Nodes
B. Throughput
Throughput is the number of bytes received successfully. In
case of varying number of attackers the dip is very drastic for
AODV and becomes negligible for higher number of
attackers but stands remarkably high for TRSAODV and
manages even with higher number of attackers.
In case of varying number of nodes the TRSAODV keeps its
efficiency increasing with higher number of nodes where as
the AODV is able to deliver a small amount only when the
node density is high.
Fig- 5: Throughput versus Number of Attackers
Fig- 6: Throughput versus Number of Nodes
The above investigation clearly states the remarkable fairness
of TRSAODV for MANETs over AODV.
V. CONCLUSION AND FUTURE EXTENSION
Securing MANETs from vulnerable attacks is one of the
most challenging area of research. This research paper has
given a fair solution TRSAODV to overcome Black Hole
attack in AODV. In addition to the Trust factor cryptographic
measures, energy efficient strategy can be combined to give a
more robust protocol. Moreover the type of attack
implemented is Black hole where this can substituted with
other active attacks for investigation.
REFERENCES
[1] S.Corson, J.Marker,”Mobile Ad hoc Networking”,RFC-
3651.
[2] C.Perkins, E.Royer and S.Das,”Ad hoc On demand
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[3] Hoang Lan Nguyen, Uyen Trang Nguyen, “A Study of
Different Types of Attacks on MANETs” Elsevier – Ad
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[4] Mohammed AL-shurman and Seong_Moo yoo,
“Blachhole Attack in Mobile Ad Hoc Networks”
ACMSE’04, April2-3,2004.
[5] Fan-Hsun Tseng, Li-Derchou, Han-chieh Chao, “A
Survey of Blackhole Attacks in wireless mobile ad hoc
Networks” human centric Computing and Information
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