Securing WSN communication using Enhanced Adaptive Acknowledgement Protocol

86 International Journal for Modern Trends in Science and Technology
Volume: 2 | Issue: 04 | April 2016 | ISSN: 2455-3778IJMTST
Securing WSN communication using
Enhanced Adaptive Acknowledgement
Protocol
Mr. Sachin Acharya T
Department of CS&E, P.E.S College of Engineering, Mandya, Karnataka, India
Paper Setup must be in A4 size with Margin: Top 1.1 inch, Bottom 1 inch, Left 0.5 inch, Right 0.5 inch,
Wireless Sensor Networking is one of the most important technologies that have different applications. The
security of wireless sensor networks is a big concern. Hence for secure communication it is important to
detect and prevent the attacks in network. Major focus is given on security and on detection and prevention of
attacks. Adversary can create gray-hole attack and black-hole attack simultaneously. There are many
methods which do not provide proper method to defend against these kinds of attacks. The Ad-hoc On
Demand Distance Vector (AODV) scheme is used for detecting Gray-Hole attack and Enhanced Adaptive
Acknowledgment (EAACK) mechanism is used for detecting black-hole attack in network. But only by
detecting and preventing the attacks, it does not provide the better security to wireless network. Therefore, to
secure network a hybrid mechanism is deployed in wireless sensor network. Security algorithm for wireless
sensor networks such as CAWS and Modern Encryption Standard (MES-1) is used for secure communication.
The CAWS and Modern Encryption Standard (MES-1) is an advanced cryptography method which is used for
encryption and decryption process to provide special security.
KEYWORDS: EAACK; False misbehavior reporting; Security challenges in WSN; Security attacks in WSN;
MRA
Copyright © 2015 International Journal for Modern Trends in Science and Technology
All rights reserved.
I. INTRODUCTION
Wireless sensor network is a group of specialized
transducers that are deployed in particular
environment to gather information. Wireless
sensor network is an advanced technology with
their limited energy, processing and transmission
capabilities. WSN have gained popularity due to
their usage in various applications in impractical
environments. Wireless communication medium is
inherently insecure and sensor nodes have low
computational power processors, low memory, and
runs on battery. In addition, sensor nodes are
likely be deployed in open, physically impractical,
or hostile environments where sensor nodes can be
easily compromised by the attackers [1].
Fig 1: Structure of a typical sensor node
As shown in Fig 1, a typical sensor node consists
of three subsystems. Sensing subsystem for data
acquisition; Processing subsystem for processing
gathered information, and Communication
subsystem for the transmission of gathered
information. Finally, the three subsystems of
sensor nodes run on the energy provided by
underlying battery. Though sensor nodes are
deployed in impractical environments, security
requirements is to be provided such as integrity,
confidentiality, and availability so on.
Challenges of WSN
WSNs have many constraints compared to the
traditional computer networks. This always gives
significant challenges in providing security to these
wireless sensor networks.
Some of them are:
A. Wireless Medium
The wireless medium is inherently less secure
because its broadcast nature makes eavesdropping
ABSTRACT

Securing WSN communication using Enhanced Adaptive Acknowledgement protocol
simple. Any transmission can easily be intercepted,
altered, or replayed by an adversary. The wireless
medium allows an attacker to easily intercept valid
packets and easily inject malicious ones. Although
this problem is not unique to sensor networks,
traditional solutions must be adapted to efficiently
execute on sensor networks. [2]
B. Ad-Hoc Deployment
The ad-hoc nature of sensor networks means no
structure can be statically defined. The network
topology is always subject to changes due to node
failure, addition, or mobility. Nodes may be
deployed by airdrop, so nothing is known of the
topology prior to deployment. Since nodes may fail
or be replaced the network must support
self-configuration. Security schemes must be able
to operate within this dynamic environment.
C. Hostile Environment
The next challenging factor is the hostile
environment in which sensor nodes function.
Motes face the possibility of destruction or capture
by attackers. Since nodes may be in a hostile
environment, attackers can easily gain physical
access to the devices. Attackers may capture a
node, physically disassemble it, and extract from it
valuable information (e.g. cryptographic keys). The
highly hostile environment represents a serious
challenge for security researchers.
D. Resource Scarcity
The extreme resource limitations of sensor
devices pose considerable challenges to
resource-hungry security mechanisms. The
hardware constraints necessitate extremely
efficient security algorithms in terms of bandwidth,
computational complexity, and memory. This is no
trivial task. Energy is the most precious resource
for sensor networks. Communication is especially
expensive in terms of power. Clearly, security
mechanisms must give special effort to be
communication efficient in order to be energy
efficient. [3]
Security attacks and threats
Attacks on the sensor networks can be classified
[4] as following ways:
 Interruption is a class of attack on WSN where
the availability of the sensor nodes is damaged.
It includes problems such as malicious content
insertion, capturing the nodes, corrupting
messages etc.
 Interception is a class of attack on WSN where
the confidentiality of data that’s being
transmitted over the network is disclosed. It
includes unauthorized access to sensor node or
data within it.
 Modification is a class of attack on WSN where
the integrity of data that’s being transmitted
over the network is modified. It includes the
modification of the data packets or causing
denial of service attack.
 Fabrication is a class of attack on WSN where
the authentication for the transfer of control
information is altered. In this sort of attacks an
intruder injects false data and gains the
trustworthiness.
These are all the different classes of attacks that
may occur in sensor network. This classes of
attacks can be rectified by using some
acknowledgement schemes that ensure about the
attacks on which preventive actions can be taken.
But traditional acknowledgement schemes are
volatile for the attacks that are explained below
such as black hole and grey hole attacks.
A. Black Hole Attack:
A black hole attack is a kind of attack in WSN
where a malicious node in the sensor network
makes use of the routing information and
represents itself has the shortest path to the
destination node in the sensor network. After
representing itself has a shortest path to
destination node, the malicious node receives
routing packets and does not forward packets to its
neighbor nodes. This kind of malicious node is
called black hole [5]. After the creation of this black
hole in sensor network the source node sends out
its data packets to the black hole believing that it’s
the shortest path to destination node. Thus the
black hole receives all sent packets from the source
node and behalf of forwarding those data packets
to the destination it will simply discard those
packets. So the data packets obtained by the black
hole node will not arrive at the destination node.
B. Grey Hole Attack:
The grey hole attack was first described by Karlof
and Wagner [6]. This attack is sometimes also
called as selective forwarding. The grey hole attack
is a kind of attack in WSN where a malicious node
in the sensor network tries to stop the data packets
that are passing through it in a sensor network by
refusing to forward the data packets or dropping
the data packets passing through them. In this

grey hole attack, the malicious node can selectively
drops the data packets coming from particular
sensor node. This selective dropping may create
DoS attack in the sensor network. In this sort of
attacks the malicious nodes may also behave like
black hole and refuses to forward the data packets
passing through them.
As explained above the black hole and grey hole
attacks are two severe attacks on WSN with passive
nature. Due to their passive nature the present
acknowledgements schemes are vulnerable to this
kind of attacks on WSN. The present
acknowledgement schemes are explained in next
section with their related work in field of WSN.
II. EXISTING SCHEMES
The nodes in WSNs assume that other nodes
always cooperate with each other in data
transmission. This assumption leaves the
attackers to cause significant impact on the
network with just one or two compromised nodes.
To address this problem, IDS should be added to
enhance the security level of WSNs. If WSN can
detect the attackers as soon as they enter the
network, we will be able to completely eliminate the
potential damages caused by compromised nodes.
In this paper, we discuss some of the security
schemes which are being used so far.
A. Watchdog
Marti et al. [7] proposed the Watchdog scheme. It
improves the throughput of network with the
presence of malicious nodes. The Watchdog
scheme consists of two parts i.e. ‘Watchdog’ and
‘Path-rater’.
Watchdog serves as an IDS for WSNs. It is
responsible to detect malicious node misbehavior
in the network. It detects the malicious
misbehaviors by listening to its next hop’s
transmission. If a Watchdog node overhears that
its next node fails to forward the packet within a
certain period of time, it increases its failure
counter. Whenever a node’s failure counter exceeds
a predefined threshold, the Watchdog node reports
it as misbehaving. In this case, the Path-rater
cooperates with the routing protocols to avoid the
reported nodes in future transmission.
The Watchdog scheme fails to detect malicious
misbehaviors with the presence of the following: 1)
ambiguous collisions; 2) receiver collisions; 3)
limited transmission power; 4) false misbehavior
report; 5) collusion; 6) partial dropping.
B. TWOACK
To overcome the weaknesses of the Watchdog
scheme, a new scheme named TWOACK was
proposed by Liu et al. [8] Aiming to resolve the
receiver collision and limited transmission power
problems of Watchdog, TWOACK detects
misbehaving links by acknowledging every data
packet transmitted over every three consecutive
nodes along the path from the source to the
destination.
Upon retrieval of a packet, each node along the
route is required to send back an acknowledgment
packet to the node that is two hops away from it
down the route. TWOACK is required to work on
routing protocols such as Dynamic Source Routing
(DSR) [9].
The receiver collision and limited transmission
power problems posed by Watchdog are solved by
this scheme. But the acknowledgment process
required in every packet transmission process
increased the network traffic. Due to the limited
battery power nature of WSNs, such redundant
transmission process can degrade the life span of
the entire network.
Fig 2: TWOACK Scheme
C. AACK
Sheltami et al. [10] proposed a new scheme called
AACK. Similar to TWOACK, AACK is an
acknowledgment-based network layer scheme
which is a combination of a scheme called
TWOACK and an end-to-end acknowledgment
scheme called ACKnowledge (ACK). Compared to
TWOACK, AACK significantly reduced network
overhead while still capable of maintaining or even
surpassing the same network throughput.
Within a predefined time period, if the source
node S receives this ACK acknowledgment packet,
then the packet transmission from source node S
to destination node D is successful. Otherwise, the
source node S will switch to TWOACK scheme by
sending out a ACK packet. This scheme reduces
the network overhead, but both TWOACK and
AACK fails to detect the malicious nodes and false
misbehavior reporting.

Securing WSN communication using Enhanced Adaptive Acknowledgement protocol
Fig 3: AACK Scheme
D. Digital Signature
Cryptography is the study of mathematical
techniques related to aspects of information
security such as confidentiality, data integrity,
entity authentication, and data origin
authentication [11]. Digital signature is a widely
adopted approach to ensure the authentication,
integrity, and nonrepudiation of WSNs. It can be
defined as a data string, which associates a
message in digital form with some originating
entity. Digital signature schemes can be mainly
divided into the following two categories.
1) Digital signature with appendix: The original
message is required in the signature verification
algorithm. Examples include a digital signature
algorithm (DSA) [12].
2) Digital signature with message recovery: This
type of scheme does not require any other
information besides the signature itself in the
verification process. Examples include RSA [11].
Fig 4: Communication using Digital Signature
III. ENHANCED ADAPTIVE ACKNOWLEDGEMENT
SCHEME
In order to overcome the drawbacks of the above
discussed scheme, the Enhanced Adaptive
Acknowledgement scheme (EAACK) was
introduced. EAACK is consisted of three major
parts, namely, ACK, Secure ACK (S-ACK), and
misbehavior report authentication (MRA)[12].
A. ACK
ACK is basically an end-to-end acknowledgment
scheme. It acts as a part of the hybrid scheme in
EAACK, aiming to reduce network overhead when
no network misbehavior is detected. If the ACK
packet doesn’t reach the source in predefined
period of time then S-ACK scheme will be adopted
for the network.
B. S-ACK
The S-ACK scheme is an improved version of the
TWOACK. Here every three consecutive nodes work
in a group to detect misbehaving nodes. For every
three consecutive nodes in the route, the third
node is required to send an S-ACK
acknowledgment packet to the first node. The
intention of introducing S-ACK mode is to detect
misbehaving nodes in the presence of receiver
collision or limited transmission power.
C. MRA
The false misbehavior report can be generated by
malicious attackers to falsely report innocent
nodes as malicious. The Misbehavior Report
Authentication scheme (MRA) is designed to detect
misbehaving nodes with the presence of false
misbehavior report. This scheme authenticates
whether the destination node has received the
reported missing packet.
To initiate the MRA mode, the node which creates
the MRA packet is expected to digitally sign the
packet. This digital signature can be done by only
the authenticated nodes. If the digital signature
does not match with the authenticated digital
signature then ‘false misbehavior’ is reported.
These nodes are labeled malicious and are
neglected for further transmission.
CONCLUSION
In this paper, an enhanced and adaptive
acknowledgement scheme has been proposed to
introduce security into a wireless sensor network.
The main advantage of this scheme is to detect
false misbehavior reporting and the malicious node
responsible for it. The involvement of digital
signature in every MRA packet promotes
authenticity and also reduces network traffic.
Hence the proposed EAACK scheme helps to
uphold the security goals of the wireless sensor
networks.

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Securing WSN communication using Enhanced Adaptive Acknowledgement Protocol

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