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International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 05 Issue: 06 | June-2018 www.irjet.net p-ISSN: 2395-0072
© 2018, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 1774
A RELIABLE STRATEGY AGAINST POWER DISSIPATING ATTACKS IN
HIERARCHICAL WIRELESS SENSOR NETWORKS
Nida Ambreen 1, Rubeena Naz2,E. Channaveeramma3
1,2M. Tech Student, DCN, Navodaya Institute of Technology, Raichur-584103
3Asst Prof. Dept .of ECE, DCN Navodaya Institute of Technology, Raichur-584103
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Abstract - Efficient energy andreliabilityarecriticalconcerns
in wireless sensor network (WSN) design. In this work we are
aimed to develop an energy-efficient reliable strategy against
power dissipate attacks, especially the denial-of-sleepattacks,
which can reduce the lifetime of WSNs rapidly. The well-
known reliable process usually awake the sensor nodes before
these nodes are allowed to perform the security processes.
Therefore, the practical method is to simplify the
authenticating process in order to cut down the energy
consumption of sensor nodes and increase the performance of
the MAC protocol in countering the power dissipate attacks.
The scrutiny shows that the proposed strategies can counter
the replay attack and forge attack in an energy-efficient way.
Key Words: MAC protocol, Cluster, sensor nodes,
wireless sensor network .
1. INTRODUCTION
Large-scale sensor networks are deployed in
numerous application domains, and the informationthatwe
collect are used in decision making for critical frameworks.
Information’s are rushed from multiple sources through
transitional processingnodesthataccumulateinformation.A
malicious attacker may introduce additional nodes in the
network or compromise existing ones. Therefore, persuade
high data trustworthiness is crucial for correct decision-
making.
Data provenance serves as key factor in evaluating
the trustworthinessofsensordata.Provenancemanagement
for sensor networks introduces several challenging
demands, such as low energy and bandwidth consumption,
efficient storage and reliable transmission.
We propose a lightweight strategy to reliable
transmit provenance for sensor data. The proposed
approach relies on in-packet Bloom filters to encode
provenance. We introduce efficient system for provenance
verification and reconstruction at the base station [8]. In
addition, we enhance the reliable provenance strategy with
functionality to detect packet drop attacks staged by
malicious data forwarding nodes. We evaluate the proposed
approach both analytically and empirically, and the results
prove the capability and efficiency of the lightweightreliable
provenance strategy in identifying packet forgery and loss
attacks.
2. OVERVIEW OF RELIABLE STRATEGY AGAINSTPOWER
DISSIPATION ATTACKS
Low Energy consumption and enhancing the
lifetime of WSNs is the major concern in today’s world, the
duty cycle based protocol is one of the major strategies in
energy conservation of WSNs. This duty-cycle based WSN
MAC protocols, sensor nodes are transposed from
awake/active to sleep state periodically and these nodes
move into sleep mode after little idle period.
B-MAC is theLowPowerListening(LPL)based WSN
MAC protocol. In this technique receiver wakes up
periodically to sense the preamble from the source and then
to receive and process the data. When the source requiresto
send data, it sends a long preamble to coverthesleep period.
The LPL based MAC protocol is an asynchronous protocol,
decouples the sourceandreceiverwithtimesynchronization
[lo].This long preamble design of LPL based protocol
consumes the major energy of both source and receiver.
Based on the variant initiator, thisduty-cyclestrategywill be
classified into two types: sender-initiated strategy and
receiver initiated (RI) strategy. For purpose, the X-MAC
protocol is one of the sender-initiated strategies to improve
B-MAC protocol by replacing the long preamble with short
preambles, which allows the receiver to send
acknowledgment (ACK) back to the sender as soon as it
senses the preamble.
The RI-MAC protocol is one of the receiver-started
strategies to lowers the channel occupancytimeofa pair ofa
source and receiver, allows the sender to send data to the
receiver as soon as it senses the beacon. However, current
layer-2 protocol plans are inadequate to protecta WSN from
Denial-of-Sleep attack. The energy conservationisoneof the
major goals of WSN plan, whereas the reliable strategy
always consumes more energy of model. There is no well
decision rule to compromise the needs between energy
conservation and reliable strategy.
The Denial-of-Sleep is one of the power exhausting
attacks of WSNs. An anti-node can send fake data packets to
sensor node of unprotected WSNs to initiate unnecessary
transmissions repeatedly[l2]. Without reliable technique, an
anti-node can broadcast a fake preamble frequently in the
source-initiated strategies. Though the receiver cannot tell
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 05 Issue: 06 | June-2018 www.irjet.net p-ISSN: 2395-0072
© 2018, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 1775
real preamble and the fake one, the receiver will receiveand
process the information from the anti-node. This attack will
preserve the receiver is as long as the data transmission
sustains, which exhausts the battery of nodes rapidly.
Moreover, an anti-node can replay a fake preamble ACK to
the sender. Thus, the sender will start to send the data tothe
anti-node but it will never receive the right data ACK.
Similarly, the sender may send data repeatedlyandexhausts
the battery of node rapidly.
In receiver-initiated strategies, an anti-node can
broadcast a “fake beacon” to cheat sender to process and
send the data to the anti-node but it will never receive the
right data ACK. An anti-node can senda “fakebeaconACK” to
the receiver.
Thus, the receiver will start to receive and process
the data from the anti-node. If attack packets interval is
shorter than the sleep period of a Network, then
communication with neighboring nodes in a WSN could be
impede by attack packets.Consequently,nopacketsfrom the
attacked nodes can be delivered, which issues with a
jamming-like scenario. However, unlike the physical
jamming attack, no consecutive signals or packets are
required for the packet attack. A well-planned periodical
attack, packet can be applied to perform like jamming-like
attack, which may lowers the performance of a duty-cycle
strategy for WSN operatingandachieve energyconservation
of an anti-node during the adversaries. As a result, the
source and receiver required mutual authentication
strategies to counterattack.Inconventional wirelessreliable
technique, with symmetric key or asymmetric, encryption
algorithm is used to send the data.
The wireless sensor networks preferthesymmetric
algorithm to avoid the complicated computing and heavy
energy consumption. But the encrypted message makes the
battery exhaustion evenworseunderDenial-of-Sleepattack.
The anti-node can send the encrypted “garbage” data to
receiver. This attack forces the receiver to decrypt the data.
Before the receiver identifies that the data is “garbage”, the
receiver consumes more power to receive and decrypt data.
These processes also preserve sensor nodes to stay awake
for longer period[l4].
Accordingly, an easy and fast mutual authentication
strategy is required to populate with MAC protocol to
counter the Denial-of-Sleep attack. In any adopted reliable
technique of WSNs, the sensor nodes need to be waked
before collecting data and authenticatingreliable properties.
The practical method is to simplify the reliable
process when detorriate the power exhausting attacks.
The Plan of reliable strategies in above layers may
be coupled with the fixed data link layer technique.
Here, a cross-layer plan of reliable strategy
populating the MAC protocol, Two-Tier Energy-Efficient
Reliable Strategy (TE2S), is proposed to protect the WSNs
from the above attacks based on our preliminary
frameworks.
This cross-layer designinvolvescouplingtwolayers
at plan time without creating new interface for information
exchanging at runtime.
The principles and features of the proposedreliable
strategies are:
 Energy conservation
 Low complexity
 Mutual authentication
 Symmetric encryption
 Dynamic session key created with challenge text
 Capability to counter the Denial-of-Sleep attack
 Integrating the MAC protocol
This strategy implies with the hash-chain to create the
dynamic session key, which can be used for mutual
authentication and the same encryption key.
The only computations of dynamic session key are the hash
functions, like MD5 or SHA-l, these are very simple and fast.
By accommodating with MAC protocol, there is no extra
packet compared with the prevailedMACplans.Thetwo-tier
plan can investigate and impede with the attacks at various
check points. The combination of low complexity reliable
process and multiple check points designcanprotectagainst
attacks and send the sensor nodes back to sleep mode as
soon as possible.
The reliable analysis shows that thesestrategiescancounter
the replay attack and forge attack, and the energy analysis
shows that this strategy is energy efficient as well. The
detailed energy distribution of energy analysis also shows a
new possible decision rule to compromise the needs
between energy conservation and reliable strategy.
2.1 Data Flow Diagram
A data-flow diagram (DFD) is a graphical representation of
the "flow" of data through an information system. This type
of flow diagrams can mostly be used for
the visualization of data processing (structureddesign). The
data items in this type of flow diagram flow from either
external data source or an internal data store to an internal
data store or an external data sink
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 05 Issue: 06 | June-2018 www.irjet.net p-ISSN: 2395-0072
© 2018, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 1776
Fig-1: Data Flow Diagram
2.2 System Flow Diagram
1. The Flow chart is also called as bubble chart. It is a
simple graphical formalism that can be used to
present a model in basis of input data to the system,
various processing carried out on this data, and the
output data is moderated by this system.
2. The data flow structure is oneofthe mostimportant
modeling tools. It is used to model the system
components. These components are the system
process, the data used by the process, an external
entity that collaborates with the system and the
information flows in the system.
3. Flow diagram shows how the information moves
through the system and how it is modified by a
series of transformations. It is a graphical method
that narrates information flow and the
transformations that are applied as data moves
from input to output.
4. A Flow diagram may be used to constitute a
system at any level of abstraction. This may be
partitioned into levels that constitutes growing
information flow and functional detail.
Fig -2: System Flow Diagram
3. PROPOSED SYSTEM
3.1 Modules Description
3.1.1 Topology Creation
In this project we are employing wireless sensor
network. In this network, the nodes are static and attached.
The sensor nodes are recognizing the information and then
send to the server. If the source node sends thepacket,it will
send through the in-between nodes. The nodes are
communicates only within the communication range.So, we
have to find the node’s communication range[26].
3.1.2 Anti-Node Detection
In order to make the network robust against
adversaries, an authenticated broadcasting technique, such
as the μ TESLA in SPINS may be required in this stage. In the
authenticated broadcasting technique, with the help of the
pre-shared key a plaintext “Hi” message is encrypted.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 05 Issue: 06 | June-2018 www.irjet.net p-ISSN: 2395-0072
© 2018, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 1777
If the sensor cannot decrypt the message received
successfully, the source is indicated to be as anti-node.Thus,
the normal nodes and the anti-nodes can be distinguished.
Therefore, we built thenetwork topology withoutanti-nodes
in order to make the network safe. Notice that an external
attack can be intercepted by the operation of stage I. Here in
this work, we do not have a lightweight countermeasure to
protect against authenticated malicious nodes. If the
authenticated node is compromised and performsmalicious
activities, a strategy for expelling the compromised nodes is
required.
3.1.3 Cluster Formation
Each sensor updates a random waiting timer,
broadcasts its localizes via a “Hello” signal, and listens for its
neighbor’s “Hello.”Thesensorsthathearmanyneighborsare
good candidates for starting new clusters; those with least
neighbors should choose to wait. Sensors set their neighbor
information and cut down thewaitingrandomtime based on
each new “Hi” message received. This encourages those
sensors with all neighbors to become cluster heads.
If a neighbor declares itself to be a cluster head, the
sensor cancels its own timer and joins the neighbor’s new
cluster. After applying the ADTCA, there are three separate
kinds of sensors: (1) the cluster heads (2) sensors with a
naming cluster ID (3) sensors withoutnamingIDofa cluster,
which will join any nearby cluster and become 2-hop
sensors. This topology of the ad-hoc network is constituted
by a hierarchical collection of clusters.
3.1.4 Gateway Selection
To interconnect two adjacent non-overlapping
clusters, one cluster member fromeachclustermust become
a gateway. According to the process of cluster formation,
sensors can obtain local information and know the number
of neighboring sensors in adjacent clusters.
Therefore, given the local information, sensorsmay
initialize their counters for gateway selection. Based on the
counter, cluster heads broadcast messages to trigger the
gateway selection process.
After applying the procedure for dictate the
gateways, the gateway nodes broadcast messages to update
the connectivity information and activate the linked cluster
construction.
3.1.5 Key Distribution
In this domain, two symmetric are considered to be
as shared keys, gateway key, and a cluster key which are
encrypted by the pre-spread key and these are spread
locally. A cluster key is a key distributed by a cluster head
and all its cluster members, which is mainly used for
securing locally broadcast messages, e.g., routing control
information, or securing sensor messages. Moreover, in
order to form a secure communication channel between the
gateways of adjacent clusters, a symmetric exchangedkeyis
used to encrypt the sending message. Another challenge
encrypted by a cluster key or a gateway key may be made to
protect against anti-nodes that have not been found out.
Therefore, the reliability of intra-clustercommunicationand
inter-cluster communication are established upon a cluster
key and a shared gateway key, respectively[l9].
3.1.6 Key Renewal
With the same encryption key for extended periods
may occur a cryptanalysis risk. To protect the sensor
network and prevent the attackersfromgettingthekeys,key
renewing may be obligatory. Initially all cluster heads (CHs)
choose an originator to start the “key renewals”, and then it
will send the list to all cluster heads in the network. After
selecting the originator, it initializes the “Key renewal”
process and sends the lists to its neighboring clusters by
gateways. Then the cluster head restores the two keys from
the key pool and distributes the two new keys to their
cluster members locally.
3.1.7 Performance Evaluation
In this section, we evaluate the performance of
simulation. We are getting the x-graph for evaluate the
performance. We choose the some evaluation metrics:
Packet delivery ratio – the ratio of the total number of
packets received by the destination node to the number of
packet sent by the source, End-to-End delay – the timetaken
to be data sent from source node to destination node. And
calculate the Energy consumption by the sensor node.Along
these evaluation metrics we have to evaluate the simulation
performance in x-graph.
3.2 Design
3.2.1 Input Design
The input design is the link between the information
system and the user. It comprises the developing
specification and procedures for data preparation andthose
steps are necessary to put transaction data in to a usable
form for processing can be attained by moitoring the
computer to read data from a written or printed document
or it can occur by having people keying the data directly into
the system.
The design of input focuses on controlling theamount
of input required, controlling the errors, avoiding delay,
avoiding other steps and preserving the process simple.The
input is designed in such a way so that it provides reliability
and ease of use with preserve the privacy. Input Design
considered the following things:
 Some data should be given as input
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 05 Issue: 06 | June-2018 www.irjet.net p-ISSN: 2395-0072
© 2018, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 1778
 The data should be arranged or coded
 The dialog to guide the operating personnel in
providing input.
 Methods for preparinginput validationsandsteps
to follow when error occur.
3.2.2 Design Objectives
1. Input Design is the process of converting a user-oriented
description of the input into a computer-based system. This
plan is important to avoid errors in the data input process
and show the correct direction to the management for
getting correct information from the computerized system.
2. It is attained by generating user-friendly screens for the
data entry to handle large volume of data. The goal of
designing input is to make data entry will be effortlessand to
be free from errors. The data entry screen is designed in
such a way that all the data manipulates canbe performed. It
also provides record viewing facilities.
3. When the data is inputted it will check for its validity.Data
can be entered with the help of screens. Appropriate
information are provided as when needed so that the user
will not be in maize of instant. Thus the objective of input
design is to create an input layout that is easy to follow.
3.2.3 Output Design
A quality output is one,whichmeetstheneeds ofthe
end user and gives the information clearly. In any system
results of processing are communicated to the users and to
other system through outputs. In output plan it is regulate
how the information is to be displaced for instant need and
also the hard copy output. It is the mostimportantanddirect
source information to the user. Efficient and intelligent
output design improves the system’s relationship to help
user decision-making.
1. Planning computeroutput shouldproceedinanorganized,
well thought out manner; the right output must be
developed while ensuring that each outputelementissketch
so that people will find the network which canuseeasilyand
effectively. When analysis design computer output, they
should Identify the specific output that is required to meet
the needs.
2. Select methods for presenting information.
3. Create document, report, or other formats that contain
information produced by the system.
The output form of an information system should
accomplish one or more of the following objectives.
 Convey information about past activities,
current status or projections.
 Future.
 Signal important events, opportunities,
problems, or warnings.
 Trigger an action.
 Confirm an action.
3.3 Sequence Diagram
A sequence structure flow is a kind of interaction, that
shows how processes operate with one another and in what
order. It is a construct of a Message Sequence Chart.
Sequence diagrams are sometimes called event diagrams,
event scenarios, and timing diagrams.
Fig-3: Sequence Diagram
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 05 Issue: 06 | June-2018 www.irjet.net p-ISSN: 2395-0072
© 2018, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 1779
3.4 Activity Diagram
Activity structures are graphical representations of
workflows of stepwiseactivitiesandactionswithsupport for
choice, iteration and concurrency. Activity flow can be used
to describe the business and operational step-by-step
workflows of components in a system. An activity diagram
shows the overall flow of control.
Fig-4: Activity Diagram
4 Performance Evaluations
4.l Delay Graph
Shows graph of delay versus speed as speed increasesdelay
increases. At decreasing speed delay seems constant
Fig-5: Delay Graph Comparison between Existing and
Proposed Scheme
4.2Energy Consumption
Graph of energy versus time in mile second. As time
increases energy decreases. At start energy is considered to
be 1ooJ. Packet drop ratio is 1o packets per mile second
Fig- 6: Energy Consumption Graph compared between
Existing and Proposed Scheme
DESTINATI
ON
RECEIVE
ACKNOWLE
DGEMENT
SOURCE
Star
t
RENEW
CLUSTER
HEAD KEY
CLUSTER
HEAD
RECEIVE
HELLO
MESSAGE
BROADCAST
DISTRIBUTE
KEY
DECRYPT
MESSAGE
SEND ACK
RECEIVE
KEY
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 05 Issue: 06 | June-2018 www.irjet.net p-ISSN: 2395-0072
© 2018, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 1780
4.3 Packet Delivery Ratio
Graph of Packet Delivery ratio describes no. of packet
received to the no. of packet sent measured in %.
Fig-7: Packet Delivery Ratio Graph compared between
Existing and Proposed Scheme
4.4 Throughput
Throughput Graph describes no. of packet sent in particular
time measured in kb/s.
Fig-8: Throughput Graph compared between Existing and
Proposed Scheme
CONCLUSION
We proposed a cross-layer designofenergy-efficientreliable
strategy populating the MAC protocol. Extra packet is not
involved in the original MAC protocol method. This strategy
can cut down the authenticating processas shortaspossible
to mitigate the effect of the power dissipating attacks. By
combination of lowcomplexitysecurityprocessandmultiple
check points, the proposed method can protect against
attacks and send the sensor nodes back to sleep mode as
soon as possible. The security analysis shows that this
strategy can counter the replay attack and forge attack. The
energy analysis identifies the operating mode precisely,
including the MCU andradio modules.Thesimulation results
of normalized energy consumption for normal condition,
which has no attacks, shows that the proposed scheme
increases up to 6o% more efficient than that of the X-MAC
protocol in energy consumption. The simulation results of
normalized energy consumption for attack conditions also
shows that the proposed strategy can save times of energy
consumptions than X-MAC or RI-MAC does, which also can
enlarge the lifetime of WSNs under attacks. The energy
analysis shows that this strategy is efficient in both sender-
initiated plan and receiver-initiated plan. Theoverall results
show that the proposed method TE2S strategy can attain the
same throughput performance with less energy
consumption. Moreover energy consumption of the
proposed strategy under various duty cycles can be checked
to provide more extensive simulation results to support the
efficiency of TE2S strategy in the later state. The detailed
analysis of energy distributions clears up the proportions of
energy consumptions for each state of MCU and radio
modules. This analysis shows that the MCU consumes onlya
slit portion on entire energy consumption. Thus, applying a
well design of light-weight reliable strategy to increase the
MCU loading but to cut down the energy consumption of
radio module is a reasonable decision rule of coordination
between energy conservationandsecurityneedsindesignof
WSN applications.
REFERENCES
[1] G. Halkes, van Dam T, and Langendoen K. G., “Comparing
energy saving MAC protocols for wireless sensor networks,”
Mobile Netw. Appl., vol. l0, n0. 5, pp. 783–79l, 2OO5.
[2] A. Bachir, M. Dohler, K. K. Leung, and T. Watteyne, “MAC
essentials for wireless sensor networks,” IEEE Commun.
Surv. Tuts., vol. 12, no. 2, pp. 222–248,SecondQuarter2O1O.
[3] J. Kabara and Calle M, “MAC protocols used by wireless
sensor networks and a general method of performance
evaluation,” Int. J. Distrib. Sensor Netw., vol. 2O12, pp. 1–l1,
2O12, Art. ID 834784.
[4] M. Li, A. V. Vasilakos and Z. Li, “A survey on topology
control in wireless sensor networks: Taxonomy,
comparative study, and open issues,” Proc. IEEE, vol.lO1,no.
l2, pp. 2538–2557, Dec. 2O13.
[5] R. Carrano, Passos.D , L. C. S. Magalhaes, and C. V.
Albuquerque, “Survey and taxonomy of duty cycling
mechanisms in wireless sensor networks,” IEEE Commun.
Surv. Tuts., vol. 16, no. l pp. 181–194, First Quarter 2O14.
[6] P. Huang, L. Xiao, S. Soltani, N. Xi , and M.W. Mutka, “The
evolution of MAC protocols in wireless sensor networks: A
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 05 Issue: 06 | June-2018 www.irjet.net p-ISSN: 2395-0072
© 2018, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 1781
survey,” IEEE Commun. Surv. Tuts., vol. 15, no. l, pp. 1O1–
12O, First Quarter 2O13.
[7] W. Ye, D. Estrin, and J. Heidemann, “An energy-efficient
MAC protocol for wireless sensor networks,” in Proc. 21st
Annu. Joint Conf. IEEE Comput. Commun. Soc. (INFOCOM),
Los Angeles, CA, USA, 2OO2, vol. 3, pp. 1567–1576.
[8] Van Dam T and K. Langendoen, “An adaptive energy-
efficient MAC protocol for wireless sensor networks,” in
Proc. 1st Intrnl. Conf. Embedded Network. Sensor Syst.
(SeuSys), Los Angeles, CA, USA, 2OO3, pp. 17l–18O.
[9] J. Polastre, J. Hi1l, and D. Cu1ler, “Versatile low power
media access for wireless sensor networks,” in Proc. 2nd
Intrnl. Conf. Embedded Network. Sensor Syst. (SeuSys),
Baltimore, MD, USA, 2OO4, pp. 95–1O7.
[10] M. Buettner, R. Han, E. Anderson, and G. V. Yee, “X-MAC:
A short preamble MAC protocol for duty-cycled wireless
sensor networks,” in Proc. 4th Intrnl. Conf. Embedded
Network. Sensor System. (SenSys), Boulder, Co, USA, 2OO6,
pp. 3O7–32O.

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Reliable Strategy Against Power Attacks

  • 1. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 05 Issue: 06 | June-2018 www.irjet.net p-ISSN: 2395-0072 © 2018, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 1774 A RELIABLE STRATEGY AGAINST POWER DISSIPATING ATTACKS IN HIERARCHICAL WIRELESS SENSOR NETWORKS Nida Ambreen 1, Rubeena Naz2,E. Channaveeramma3 1,2M. Tech Student, DCN, Navodaya Institute of Technology, Raichur-584103 3Asst Prof. Dept .of ECE, DCN Navodaya Institute of Technology, Raichur-584103 ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - Efficient energy andreliabilityarecriticalconcerns in wireless sensor network (WSN) design. In this work we are aimed to develop an energy-efficient reliable strategy against power dissipate attacks, especially the denial-of-sleepattacks, which can reduce the lifetime of WSNs rapidly. The well- known reliable process usually awake the sensor nodes before these nodes are allowed to perform the security processes. Therefore, the practical method is to simplify the authenticating process in order to cut down the energy consumption of sensor nodes and increase the performance of the MAC protocol in countering the power dissipate attacks. The scrutiny shows that the proposed strategies can counter the replay attack and forge attack in an energy-efficient way. Key Words: MAC protocol, Cluster, sensor nodes, wireless sensor network . 1. INTRODUCTION Large-scale sensor networks are deployed in numerous application domains, and the informationthatwe collect are used in decision making for critical frameworks. Information’s are rushed from multiple sources through transitional processingnodesthataccumulateinformation.A malicious attacker may introduce additional nodes in the network or compromise existing ones. Therefore, persuade high data trustworthiness is crucial for correct decision- making. Data provenance serves as key factor in evaluating the trustworthinessofsensordata.Provenancemanagement for sensor networks introduces several challenging demands, such as low energy and bandwidth consumption, efficient storage and reliable transmission. We propose a lightweight strategy to reliable transmit provenance for sensor data. The proposed approach relies on in-packet Bloom filters to encode provenance. We introduce efficient system for provenance verification and reconstruction at the base station [8]. In addition, we enhance the reliable provenance strategy with functionality to detect packet drop attacks staged by malicious data forwarding nodes. We evaluate the proposed approach both analytically and empirically, and the results prove the capability and efficiency of the lightweightreliable provenance strategy in identifying packet forgery and loss attacks. 2. OVERVIEW OF RELIABLE STRATEGY AGAINSTPOWER DISSIPATION ATTACKS Low Energy consumption and enhancing the lifetime of WSNs is the major concern in today’s world, the duty cycle based protocol is one of the major strategies in energy conservation of WSNs. This duty-cycle based WSN MAC protocols, sensor nodes are transposed from awake/active to sleep state periodically and these nodes move into sleep mode after little idle period. B-MAC is theLowPowerListening(LPL)based WSN MAC protocol. In this technique receiver wakes up periodically to sense the preamble from the source and then to receive and process the data. When the source requiresto send data, it sends a long preamble to coverthesleep period. The LPL based MAC protocol is an asynchronous protocol, decouples the sourceandreceiverwithtimesynchronization [lo].This long preamble design of LPL based protocol consumes the major energy of both source and receiver. Based on the variant initiator, thisduty-cyclestrategywill be classified into two types: sender-initiated strategy and receiver initiated (RI) strategy. For purpose, the X-MAC protocol is one of the sender-initiated strategies to improve B-MAC protocol by replacing the long preamble with short preambles, which allows the receiver to send acknowledgment (ACK) back to the sender as soon as it senses the preamble. The RI-MAC protocol is one of the receiver-started strategies to lowers the channel occupancytimeofa pair ofa source and receiver, allows the sender to send data to the receiver as soon as it senses the beacon. However, current layer-2 protocol plans are inadequate to protecta WSN from Denial-of-Sleep attack. The energy conservationisoneof the major goals of WSN plan, whereas the reliable strategy always consumes more energy of model. There is no well decision rule to compromise the needs between energy conservation and reliable strategy. The Denial-of-Sleep is one of the power exhausting attacks of WSNs. An anti-node can send fake data packets to sensor node of unprotected WSNs to initiate unnecessary transmissions repeatedly[l2]. Without reliable technique, an anti-node can broadcast a fake preamble frequently in the source-initiated strategies. Though the receiver cannot tell
  • 2. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 05 Issue: 06 | June-2018 www.irjet.net p-ISSN: 2395-0072 © 2018, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 1775 real preamble and the fake one, the receiver will receiveand process the information from the anti-node. This attack will preserve the receiver is as long as the data transmission sustains, which exhausts the battery of nodes rapidly. Moreover, an anti-node can replay a fake preamble ACK to the sender. Thus, the sender will start to send the data tothe anti-node but it will never receive the right data ACK. Similarly, the sender may send data repeatedlyandexhausts the battery of node rapidly. In receiver-initiated strategies, an anti-node can broadcast a “fake beacon” to cheat sender to process and send the data to the anti-node but it will never receive the right data ACK. An anti-node can senda “fakebeaconACK” to the receiver. Thus, the receiver will start to receive and process the data from the anti-node. If attack packets interval is shorter than the sleep period of a Network, then communication with neighboring nodes in a WSN could be impede by attack packets.Consequently,nopacketsfrom the attacked nodes can be delivered, which issues with a jamming-like scenario. However, unlike the physical jamming attack, no consecutive signals or packets are required for the packet attack. A well-planned periodical attack, packet can be applied to perform like jamming-like attack, which may lowers the performance of a duty-cycle strategy for WSN operatingandachieve energyconservation of an anti-node during the adversaries. As a result, the source and receiver required mutual authentication strategies to counterattack.Inconventional wirelessreliable technique, with symmetric key or asymmetric, encryption algorithm is used to send the data. The wireless sensor networks preferthesymmetric algorithm to avoid the complicated computing and heavy energy consumption. But the encrypted message makes the battery exhaustion evenworseunderDenial-of-Sleepattack. The anti-node can send the encrypted “garbage” data to receiver. This attack forces the receiver to decrypt the data. Before the receiver identifies that the data is “garbage”, the receiver consumes more power to receive and decrypt data. These processes also preserve sensor nodes to stay awake for longer period[l4]. Accordingly, an easy and fast mutual authentication strategy is required to populate with MAC protocol to counter the Denial-of-Sleep attack. In any adopted reliable technique of WSNs, the sensor nodes need to be waked before collecting data and authenticatingreliable properties. The practical method is to simplify the reliable process when detorriate the power exhausting attacks. The Plan of reliable strategies in above layers may be coupled with the fixed data link layer technique. Here, a cross-layer plan of reliable strategy populating the MAC protocol, Two-Tier Energy-Efficient Reliable Strategy (TE2S), is proposed to protect the WSNs from the above attacks based on our preliminary frameworks. This cross-layer designinvolvescouplingtwolayers at plan time without creating new interface for information exchanging at runtime. The principles and features of the proposedreliable strategies are:  Energy conservation  Low complexity  Mutual authentication  Symmetric encryption  Dynamic session key created with challenge text  Capability to counter the Denial-of-Sleep attack  Integrating the MAC protocol This strategy implies with the hash-chain to create the dynamic session key, which can be used for mutual authentication and the same encryption key. The only computations of dynamic session key are the hash functions, like MD5 or SHA-l, these are very simple and fast. By accommodating with MAC protocol, there is no extra packet compared with the prevailedMACplans.Thetwo-tier plan can investigate and impede with the attacks at various check points. The combination of low complexity reliable process and multiple check points designcanprotectagainst attacks and send the sensor nodes back to sleep mode as soon as possible. The reliable analysis shows that thesestrategiescancounter the replay attack and forge attack, and the energy analysis shows that this strategy is energy efficient as well. The detailed energy distribution of energy analysis also shows a new possible decision rule to compromise the needs between energy conservation and reliable strategy. 2.1 Data Flow Diagram A data-flow diagram (DFD) is a graphical representation of the "flow" of data through an information system. This type of flow diagrams can mostly be used for the visualization of data processing (structureddesign). The data items in this type of flow diagram flow from either external data source or an internal data store to an internal data store or an external data sink
  • 3. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 05 Issue: 06 | June-2018 www.irjet.net p-ISSN: 2395-0072 © 2018, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 1776 Fig-1: Data Flow Diagram 2.2 System Flow Diagram 1. The Flow chart is also called as bubble chart. It is a simple graphical formalism that can be used to present a model in basis of input data to the system, various processing carried out on this data, and the output data is moderated by this system. 2. The data flow structure is oneofthe mostimportant modeling tools. It is used to model the system components. These components are the system process, the data used by the process, an external entity that collaborates with the system and the information flows in the system. 3. Flow diagram shows how the information moves through the system and how it is modified by a series of transformations. It is a graphical method that narrates information flow and the transformations that are applied as data moves from input to output. 4. A Flow diagram may be used to constitute a system at any level of abstraction. This may be partitioned into levels that constitutes growing information flow and functional detail. Fig -2: System Flow Diagram 3. PROPOSED SYSTEM 3.1 Modules Description 3.1.1 Topology Creation In this project we are employing wireless sensor network. In this network, the nodes are static and attached. The sensor nodes are recognizing the information and then send to the server. If the source node sends thepacket,it will send through the in-between nodes. The nodes are communicates only within the communication range.So, we have to find the node’s communication range[26]. 3.1.2 Anti-Node Detection In order to make the network robust against adversaries, an authenticated broadcasting technique, such as the μ TESLA in SPINS may be required in this stage. In the authenticated broadcasting technique, with the help of the pre-shared key a plaintext “Hi” message is encrypted.
  • 4. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 05 Issue: 06 | June-2018 www.irjet.net p-ISSN: 2395-0072 © 2018, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 1777 If the sensor cannot decrypt the message received successfully, the source is indicated to be as anti-node.Thus, the normal nodes and the anti-nodes can be distinguished. Therefore, we built thenetwork topology withoutanti-nodes in order to make the network safe. Notice that an external attack can be intercepted by the operation of stage I. Here in this work, we do not have a lightweight countermeasure to protect against authenticated malicious nodes. If the authenticated node is compromised and performsmalicious activities, a strategy for expelling the compromised nodes is required. 3.1.3 Cluster Formation Each sensor updates a random waiting timer, broadcasts its localizes via a “Hello” signal, and listens for its neighbor’s “Hello.”Thesensorsthathearmanyneighborsare good candidates for starting new clusters; those with least neighbors should choose to wait. Sensors set their neighbor information and cut down thewaitingrandomtime based on each new “Hi” message received. This encourages those sensors with all neighbors to become cluster heads. If a neighbor declares itself to be a cluster head, the sensor cancels its own timer and joins the neighbor’s new cluster. After applying the ADTCA, there are three separate kinds of sensors: (1) the cluster heads (2) sensors with a naming cluster ID (3) sensors withoutnamingIDofa cluster, which will join any nearby cluster and become 2-hop sensors. This topology of the ad-hoc network is constituted by a hierarchical collection of clusters. 3.1.4 Gateway Selection To interconnect two adjacent non-overlapping clusters, one cluster member fromeachclustermust become a gateway. According to the process of cluster formation, sensors can obtain local information and know the number of neighboring sensors in adjacent clusters. Therefore, given the local information, sensorsmay initialize their counters for gateway selection. Based on the counter, cluster heads broadcast messages to trigger the gateway selection process. After applying the procedure for dictate the gateways, the gateway nodes broadcast messages to update the connectivity information and activate the linked cluster construction. 3.1.5 Key Distribution In this domain, two symmetric are considered to be as shared keys, gateway key, and a cluster key which are encrypted by the pre-spread key and these are spread locally. A cluster key is a key distributed by a cluster head and all its cluster members, which is mainly used for securing locally broadcast messages, e.g., routing control information, or securing sensor messages. Moreover, in order to form a secure communication channel between the gateways of adjacent clusters, a symmetric exchangedkeyis used to encrypt the sending message. Another challenge encrypted by a cluster key or a gateway key may be made to protect against anti-nodes that have not been found out. Therefore, the reliability of intra-clustercommunicationand inter-cluster communication are established upon a cluster key and a shared gateway key, respectively[l9]. 3.1.6 Key Renewal With the same encryption key for extended periods may occur a cryptanalysis risk. To protect the sensor network and prevent the attackersfromgettingthekeys,key renewing may be obligatory. Initially all cluster heads (CHs) choose an originator to start the “key renewals”, and then it will send the list to all cluster heads in the network. After selecting the originator, it initializes the “Key renewal” process and sends the lists to its neighboring clusters by gateways. Then the cluster head restores the two keys from the key pool and distributes the two new keys to their cluster members locally. 3.1.7 Performance Evaluation In this section, we evaluate the performance of simulation. We are getting the x-graph for evaluate the performance. We choose the some evaluation metrics: Packet delivery ratio – the ratio of the total number of packets received by the destination node to the number of packet sent by the source, End-to-End delay – the timetaken to be data sent from source node to destination node. And calculate the Energy consumption by the sensor node.Along these evaluation metrics we have to evaluate the simulation performance in x-graph. 3.2 Design 3.2.1 Input Design The input design is the link between the information system and the user. It comprises the developing specification and procedures for data preparation andthose steps are necessary to put transaction data in to a usable form for processing can be attained by moitoring the computer to read data from a written or printed document or it can occur by having people keying the data directly into the system. The design of input focuses on controlling theamount of input required, controlling the errors, avoiding delay, avoiding other steps and preserving the process simple.The input is designed in such a way so that it provides reliability and ease of use with preserve the privacy. Input Design considered the following things:  Some data should be given as input
  • 5. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 05 Issue: 06 | June-2018 www.irjet.net p-ISSN: 2395-0072 © 2018, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 1778  The data should be arranged or coded  The dialog to guide the operating personnel in providing input.  Methods for preparinginput validationsandsteps to follow when error occur. 3.2.2 Design Objectives 1. Input Design is the process of converting a user-oriented description of the input into a computer-based system. This plan is important to avoid errors in the data input process and show the correct direction to the management for getting correct information from the computerized system. 2. It is attained by generating user-friendly screens for the data entry to handle large volume of data. The goal of designing input is to make data entry will be effortlessand to be free from errors. The data entry screen is designed in such a way that all the data manipulates canbe performed. It also provides record viewing facilities. 3. When the data is inputted it will check for its validity.Data can be entered with the help of screens. Appropriate information are provided as when needed so that the user will not be in maize of instant. Thus the objective of input design is to create an input layout that is easy to follow. 3.2.3 Output Design A quality output is one,whichmeetstheneeds ofthe end user and gives the information clearly. In any system results of processing are communicated to the users and to other system through outputs. In output plan it is regulate how the information is to be displaced for instant need and also the hard copy output. It is the mostimportantanddirect source information to the user. Efficient and intelligent output design improves the system’s relationship to help user decision-making. 1. Planning computeroutput shouldproceedinanorganized, well thought out manner; the right output must be developed while ensuring that each outputelementissketch so that people will find the network which canuseeasilyand effectively. When analysis design computer output, they should Identify the specific output that is required to meet the needs. 2. Select methods for presenting information. 3. Create document, report, or other formats that contain information produced by the system. The output form of an information system should accomplish one or more of the following objectives.  Convey information about past activities, current status or projections.  Future.  Signal important events, opportunities, problems, or warnings.  Trigger an action.  Confirm an action. 3.3 Sequence Diagram A sequence structure flow is a kind of interaction, that shows how processes operate with one another and in what order. It is a construct of a Message Sequence Chart. Sequence diagrams are sometimes called event diagrams, event scenarios, and timing diagrams. Fig-3: Sequence Diagram
  • 6. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 05 Issue: 06 | June-2018 www.irjet.net p-ISSN: 2395-0072 © 2018, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 1779 3.4 Activity Diagram Activity structures are graphical representations of workflows of stepwiseactivitiesandactionswithsupport for choice, iteration and concurrency. Activity flow can be used to describe the business and operational step-by-step workflows of components in a system. An activity diagram shows the overall flow of control. Fig-4: Activity Diagram 4 Performance Evaluations 4.l Delay Graph Shows graph of delay versus speed as speed increasesdelay increases. At decreasing speed delay seems constant Fig-5: Delay Graph Comparison between Existing and Proposed Scheme 4.2Energy Consumption Graph of energy versus time in mile second. As time increases energy decreases. At start energy is considered to be 1ooJ. Packet drop ratio is 1o packets per mile second Fig- 6: Energy Consumption Graph compared between Existing and Proposed Scheme DESTINATI ON RECEIVE ACKNOWLE DGEMENT SOURCE Star t RENEW CLUSTER HEAD KEY CLUSTER HEAD RECEIVE HELLO MESSAGE BROADCAST DISTRIBUTE KEY DECRYPT MESSAGE SEND ACK RECEIVE KEY
  • 7. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 05 Issue: 06 | June-2018 www.irjet.net p-ISSN: 2395-0072 © 2018, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 1780 4.3 Packet Delivery Ratio Graph of Packet Delivery ratio describes no. of packet received to the no. of packet sent measured in %. Fig-7: Packet Delivery Ratio Graph compared between Existing and Proposed Scheme 4.4 Throughput Throughput Graph describes no. of packet sent in particular time measured in kb/s. Fig-8: Throughput Graph compared between Existing and Proposed Scheme CONCLUSION We proposed a cross-layer designofenergy-efficientreliable strategy populating the MAC protocol. Extra packet is not involved in the original MAC protocol method. This strategy can cut down the authenticating processas shortaspossible to mitigate the effect of the power dissipating attacks. By combination of lowcomplexitysecurityprocessandmultiple check points, the proposed method can protect against attacks and send the sensor nodes back to sleep mode as soon as possible. The security analysis shows that this strategy can counter the replay attack and forge attack. The energy analysis identifies the operating mode precisely, including the MCU andradio modules.Thesimulation results of normalized energy consumption for normal condition, which has no attacks, shows that the proposed scheme increases up to 6o% more efficient than that of the X-MAC protocol in energy consumption. The simulation results of normalized energy consumption for attack conditions also shows that the proposed strategy can save times of energy consumptions than X-MAC or RI-MAC does, which also can enlarge the lifetime of WSNs under attacks. The energy analysis shows that this strategy is efficient in both sender- initiated plan and receiver-initiated plan. Theoverall results show that the proposed method TE2S strategy can attain the same throughput performance with less energy consumption. Moreover energy consumption of the proposed strategy under various duty cycles can be checked to provide more extensive simulation results to support the efficiency of TE2S strategy in the later state. The detailed analysis of energy distributions clears up the proportions of energy consumptions for each state of MCU and radio modules. This analysis shows that the MCU consumes onlya slit portion on entire energy consumption. Thus, applying a well design of light-weight reliable strategy to increase the MCU loading but to cut down the energy consumption of radio module is a reasonable decision rule of coordination between energy conservationandsecurityneedsindesignof WSN applications. REFERENCES [1] G. Halkes, van Dam T, and Langendoen K. G., “Comparing energy saving MAC protocols for wireless sensor networks,” Mobile Netw. Appl., vol. l0, n0. 5, pp. 783–79l, 2OO5. [2] A. Bachir, M. Dohler, K. K. Leung, and T. Watteyne, “MAC essentials for wireless sensor networks,” IEEE Commun. Surv. Tuts., vol. 12, no. 2, pp. 222–248,SecondQuarter2O1O. [3] J. Kabara and Calle M, “MAC protocols used by wireless sensor networks and a general method of performance evaluation,” Int. J. Distrib. Sensor Netw., vol. 2O12, pp. 1–l1, 2O12, Art. ID 834784. [4] M. Li, A. V. Vasilakos and Z. Li, “A survey on topology control in wireless sensor networks: Taxonomy, comparative study, and open issues,” Proc. IEEE, vol.lO1,no. l2, pp. 2538–2557, Dec. 2O13. [5] R. Carrano, Passos.D , L. C. S. Magalhaes, and C. V. Albuquerque, “Survey and taxonomy of duty cycling mechanisms in wireless sensor networks,” IEEE Commun. Surv. Tuts., vol. 16, no. l pp. 181–194, First Quarter 2O14. [6] P. Huang, L. Xiao, S. Soltani, N. Xi , and M.W. Mutka, “The evolution of MAC protocols in wireless sensor networks: A
  • 8. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 05 Issue: 06 | June-2018 www.irjet.net p-ISSN: 2395-0072 © 2018, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 1781 survey,” IEEE Commun. Surv. Tuts., vol. 15, no. l, pp. 1O1– 12O, First Quarter 2O13. [7] W. Ye, D. Estrin, and J. Heidemann, “An energy-efficient MAC protocol for wireless sensor networks,” in Proc. 21st Annu. Joint Conf. IEEE Comput. Commun. Soc. (INFOCOM), Los Angeles, CA, USA, 2OO2, vol. 3, pp. 1567–1576. [8] Van Dam T and K. Langendoen, “An adaptive energy- efficient MAC protocol for wireless sensor networks,” in Proc. 1st Intrnl. Conf. Embedded Network. Sensor Syst. (SeuSys), Los Angeles, CA, USA, 2OO3, pp. 17l–18O. [9] J. Polastre, J. Hi1l, and D. Cu1ler, “Versatile low power media access for wireless sensor networks,” in Proc. 2nd Intrnl. Conf. Embedded Network. Sensor Syst. (SeuSys), Baltimore, MD, USA, 2OO4, pp. 95–1O7. [10] M. Buettner, R. Han, E. Anderson, and G. V. Yee, “X-MAC: A short preamble MAC protocol for duty-cycled wireless sensor networks,” in Proc. 4th Intrnl. Conf. Embedded Network. Sensor System. (SenSys), Boulder, Co, USA, 2OO6, pp. 3O7–32O.