security in wireless sensor networks

IJSRSET151440 | Received: 30 July 2015 | Accepted: 02 August 2015 | July-August 2015 [(1)4: 203-206]
© 2015 IJSRSET | Volume 1 | Issue 4 | Print ISSN : 2395-1990 | Online ISSN : 2394-4099
Themed Section: Engineering and Technology
203
Agent Based Security Framework towards Misrouting Attack
in Wireless Sensor Networks under Node Replication
Rama Chaithanya Tanguturi*1, C. Jayakumar2
*1
Department of Computer Science and Engineering, Anna University, Chennai, Tamil Nadu, India
2
Department of computer Science and Engineering, R.M.K Engineering College, Chennai, Tamil Nadu, India
ABSTRACT
Drastic development in wireless technology increased the demand for Wireless Sensor Network (WSN) applications
for monitoring areas of interest. The sensible information monitored by the sensor nodes need to be securely
communicated to the sink. Even after the evolution of mobility in the wireless sensor networks, a large number of
application deploying static nodes. Node replication in WSN gives the attacker a chance to perform various attacks.
One of the major attacks in this category was misrouting attack. The replicated node changes the route of the non-
captures nodes resulting entire network compromise. We proposed an agent based security frame work which makes
the non-captures nodes will not affected by the captures nodes thereby increase the resilience of the network under
misrouting attack.
Keywords: Wireless Sensor Networks, Security, Misrouting, Node Replication, Agent
I. INTRODUCTION
In the current scenario, Wireless sensor networks
consists of wirelessly communicating sensor nodes
which monitors the surrounding environments producing
data corresponding to the area of interest and forwarding
to a collection points called sink or base station through
intermediate nodes or access points.
Wireless Sensor networks are resource constrained
networks with limited power supply (Battery), low
computational capacity and short range of wireless
communicating device. As sensor nodes carry critical
information secure communications need to be ensured,
because these networks are prone to attacks. Energy is
the critical constraint for WSNs. All the applications
need to consider the energy level of the nodes for their
operations.
A security frame work for WSN defines the method of
protecting sensor network from the attacks. WSNs
require a special category of security mechanism
comprising a simple and secure mechanism which
ensures secure communication to entire network.
Replication attack is highly potential attack where
attacker tries to capture a fraction of the nodes in the
network and will extract the key pool information and
start communicating with the other parts of the network
[1]. Once the attacker reaches a threshold value of the
captured nodes entire network will be retrieved by the
attacker. In this paper we focus on the most serious
misrouting attack introduces by capturing and
replicating a single or fraction of nodes in static wireless
sensor networks. The works in [2] - [7] detail different
mechanisms to increase the resilience of the network.
Figure 1: Effect of node replication
Figure 1 show the various possible attacks based on
node replication by a smart adversary. The remainder of
Node Replication
Misrouting
Attack
False Data
Transmission
Sink Hole
Attack

International Journal of Scientific Research in Science, Engineering and Technology (ijsrset.com)
204
the paper is as follows, section II details the attack
model, section III elaborates the related works and
section IV proposed frame work.
The organization of this paper is as follows. In Section 2
(Methods and Material), details of the proposed
scheme. In Section 3 (Result and Discussion), the
proposed model is analysed and evaluated and
conclusion in the section 4.
II. METHODS AND MATERIAL
Attack Model
The advance in the wireless technology eases mobility in
the wireless sensor networks. Even after the emergence
of mobility in the wireless sensor networks, majority of
the applications deploying static sensor nodes. These
nodes are unattended and targeted by the intruder for
getting control over the entire network. Intruder will
gather information by listening to the network traffic and
uses the same for node capture. Once intruder succeed in
node capture, will invoke the node replication procedure
as follows:
Procedure for node replication:
1. Intruder will get the captured node ID’s
2. Extract Key shares available in the captured
node
3. Draw the pair-wise keys used by the captured
node
4. Capture more nodes
5. Introduce new node in the network with
captures node ID and Keying information
Intruder introduces replicated nodes to perform various
attacks such as misrouting, false data transmission etc.
easy way to comply with the conference paper
formatting requirements is to use this document as a
template and simply type your text into it.
Related Works
A witness based replication detection scheme was
proposed in [8] where the collective action of multiple
nodes with the network topology is used to detect the
replicated nodes in the wireless sensor network. The
randomized multicast uses randomly selected witness
nodes to have node identities which detect multiple
claims of a node at different locations. Line select
multicast considers the intersection of claims at some
point in the routing path of the nodes. A recent work in
[9] is a self-healing, Randomized, Efficient, and
Distributed (RED) protocol which considerably
increases the resilience to a smart adversary when
compared with the protocols proposed in [1], the witness
in this protocol may present anywhere in the network.
The adversary has to clone all these distributed nodes to
escape from the replication detection, protocol need an
infrastructure to distribute pseudo-random number. A
memory efficient protocol in [10] using public key
cryptographic scheme for replication detection. A
periodic check based scheme SET in [11] gathers node
identities periodically up the network and detect the
replicated nodes with conflict of identities at a central
point. Two Localized Multicast approaches in [12],
Single Deterministic Cell (SDC) and Parallel Multiple
Probabilistic Cells (P-MPC) which maps the node
identities to single and multiple grids in the network, by
analysing the identities the replication is detected.
Proposed Method
This framework introduces a mobile agent in the
network to carry out the secure operations and also to
identify the node capture and node replication attacks.
Mobile agent is a piece of software code that can reside
in any node or clones in to the other node with desired
configuration which can handle any critical situations.
By using software agent this framework will never
trade-off on the network resources which caused by the
operation of the proposed mechanism. Mobile agent in
the network will resides in the required node shown in
figure. 4.1. Depending up on the requirement of the
network, the agent will be configured. Mobile agent will
take necessary action in the wireless sensor network. As
we assumed the network as a static one, the nodes once
deployed will not move from the location of deployment.
Assume that, Time required for nodes to get the path
establishment in the network is Te, Time required for the
intruder to launch node capture attack is Ti. Here Ti >>
Te because immediate after the establishment of the
network the nodes start establishing the paths with the
adjacent nodes and the sink. So, we consider the time for
the intruder to launch the attack will be greater than the
time for link establishment. Once after the deployment
of the network nodes will have routing table which is
used to forward the sensed data to the sink. The mobile
agent will clone to the nodes in the network and copies

205
all the routing information to the database. Due to the
static nature of the nodes the routing table will not be
changed unless a node misbehaves in the network.
III. RESULTS AND DISCUSSION
The framework will be explained with a wireless sensor
network randomly deployed in an area of interest like
battle field as shown in figure.2
Figure 2 : Wireless Sensor Network randomly deployed in an area of
interest
The route for each node towards the destination after the
deployment of the network is as show in Table I.
Intruder captures the node N5 and replicated in two
places with same node ID N5 as show in fig.1.
The replicated nodes will request neighbour nodes to
change their routes towards their destination. Making the
nodes believe that the route through replicated node will
be the correct path towards the destination. In this
framework every node has to coordinate with the mobile
agent to update route towards the destination. The WSN
will act similar to the WSN without the implementing
the framework unless a route request reaches the agent.
Once a route request reaches the agent, it compares the
trusted route RT with the new requested route RR to
find from which hop the route is bypassed. Agent will
list the nodes that are having the bypassed node as first
hop in their route and check whether these nodes also
communicated for route request. The replicated nodes
will request neighbour nodes to change their routes
towards their destination. Making the nodes believe that
the route through replicated node will be the correct path
towards the destination. In this framework every node
has to coordinate with the mobile agent to update route
towards the destination. The WSN will act similar to the
WSN without the implementing the framework unless a
route request reaches the agent. Once a route request
reaches the agent, it compares the trusted route RT with
the new requested route RR to find from which hop the
route is bypassed. Agent will list the nodes that are
having the bypassed node as first hop in their route and
check whether these nodes also communicated for route
request. If all the first hop nodes route request reaches
the agent then the bypassed node will be considered as
failure node else the new route request is due to some
replicated nodes introduces by the intruder. In the above
example the intruder captured the node N5 and
replicated it in two different places in the network. The
replicated node N5 will communicate with its neighbour
as a trusted next hop towards the destination. The nodes
will calculate the new path and requests the mobile
agent which route to choose to have secure
communication. The requests for route change are
shown in Table II.
TABLE II
NEW ROUTE REQUEST
New route requested nodes
(SN )
N8, N13 , N14 , N15, N18 , N19 , N20
TABLE III
N7 FIRST HOP NODES
Nodes with N7 as first
hop
towards sink (SF )
N6, N12 ,
N13
The new route request come from node N20 is as
follows < N19, N18, N13, N5, N1>.When comparing it
with the trusted route, node N7 is bypassed in the new
request. From the Table I the nodes having N7 as first
TABLE I
NODE TRUSTED ROUTE TABLE
Node
Trusted Route To
Destination
Node
Trusted Route To
Destination
N1 Direct communication
with sink
N11 < N10 ,N6 , N7 ,N1>
with sink
N12 < N7 ,N1>
with sink
N13
< N7 ,N1>
N4 <N3> N14 < N8 ,N2>
N5 < N4, N3> N15 < N9 ,N4 , N3>
N6 < N7, N1> N16 < N9 ,N4 , N3 >
N7 <N1> N17 < N16,N9 ,N4 , N3>
N8 <N2> N18 < N13 ,N7 , N1>
N9 < N4 ,N3> N19 < N18, N13 ,N7 , N1>
N10 < N6 ,N7 , N1> N20 <N19 , N18, N13 ,N7 , N1>

206
hop towards the destination are as shown in Table III.
Let SF be the set of first hop nodes of N7 and SN be the
set of nodes that requested for route request. As shown
in fig 3 if SF ⊆ SN new route will be selected else
replication nodes present in the network.
Figure. 3 : SF ⊆ SN
Out of one hop distance nodes N6, N12, N13 of N7 only
N13 requested for route change. From this the agent will
identify that the node N7 is a legitimate node towards
the destination by discarding the new route request from
the node N20. Mobile agent identifies the node N5’ as a
replicated node and flooded the information into the
network.
IV.CONCLUSION
We proposed a security framework for the misrouting
attack in the wireless sensor network under replication
attack. The analysis shows that the proposed algorithm
increases the resilience of the wireless sensor networks.
V. REFERENCES
[1]. V. J. Rathod, M. Mehta, “Security in Wireless Sensor
Network:A Survey”, Ganpat University Journal of
Engineering and Technology, Vol. 1, No. 1, pp. 35-44,
2011.
[2]. H. Chan, A. Perrig, and D. Song, “Random Key
Predistribution Schemes for Sensor Networks”,
Proceeidngs of IEEE Symposium on Security and
Privacy, pp.197, 2003.
[3]. Firdous Kausar, Sajid Hussain, Tai-hoon Kim, and
Ashraf Masood, “Attack Resilient Random Key
Distribution Scheme for Distributed Sensor Networks”,
Emerging Direction in Embedded and Ubiquitous
Computing Lecture Notes in Computer Science, vol.
4809, pp. 1–11, 2007.
[4]. Jun-Won Ho, “Distributed Detection of Node Capture
Attacks in Wireless Sensor Networks”, in Smart
Wireless Sensor Networks, pp. 345-360, 2010.
[5]. T. Bonaci, L. Bushnell, R. Poovendran, “Node Capture
Attacks in Wireless Sensor Networks:A System
Theoretic Approach”, IEEE Conf. on Decision and
Control (CDC), pp. 6765 – 6772, 2010.
[6]. K. Shaila, S. H. Manjula, J. Thriveni, K. R. Venugopal,
and L. M. Patnaik, “ Resilience Against Node Capture
Attack using Asymmetric Matrices in Key
Predistribution Scheme in Wireless Sensor Networks”,
International Journal on Computer Science and
Engineering, vol. 3, pp. 3490-3501, 2011.
[7]. Amar Rasheed and Rabi N. Mahapatra, “Key Pre-
distribution Schemes for Establishing Pairwise Keys
with a Mobile Sink in Sensor Networks”, IEEE Trans.
Parallel and Distributed Systems, vol. 22, no. 1, pp. 176-
184, 2011.
[8]. B. Parno, A. Perrig, and V.D. Gligor, “Distributed
Detectionof Node Replication Attacks in Sensor
Networks”, Proc. IEEE Symp. Security and Privacy
(S&P ’05), pp. 49-63, 2005.
[9]. Mauro Conti, Roberto Di Pietro,Luigi Vincenzo
Mancini, and Alessandro Mei, “Distributed Detection of
Clone Attacks in Wireless Sensor Networks”, IEEE
TRANSACTIONS ON DEPENDABLE AND SECURE
COMPUTING, VOL. 8, NO. 5, pp.685-698, 2011.
[10]. M. Zhang, V. Khanapure, S. Chen, and X. Xiao,
“Memory efficient protocols for detecting node
replication attacks in wireless sensor networks”, in proc.
17th IEEE International Conference on Network
Protocols (ICNP’09), pp. 284–293,Oct. 2009.
[11]. H. Choi, S. Zhu, and T. Laporta, “SET: Detecting Node
Clones in Sensor Networks”, International ICST
Conference on Security and Privacy in Communication
Networks (SecureComm), pp.341-350, September 2007.
[12]. B. Zhu, V.G.K. Addada, S. Setia, S. Jajodia, and S. Roy,
“Efficient Distributed Detection of Node Replication
Attacks in Sensor Networks”, Proc. Ann. Computer
Security Applications Conf.(ACSAC ’07), pp. 257-266,
2007.
SF
SN

security in wireless sensor networks

More Related Content

What's hot (19)

Similar to security in wireless sensor networks (20)

Recently uploaded (20)

security in wireless sensor networks