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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 2237
IMPACT OF WORMHOLE ATTACK IN WIRELESS SENSOR NETWORK
Onkar Adarkar1, Rupesh Mane2, Prof. Dipali Shah
1,2STUDENT OF DEPT OF MCA NCRD’S SIMS STUDIES, NERUL.MAHARASHTRA, INDIA
3ASS0CIATE PROFESSOR, DEPT OF MCA NCRD’S SIMS STUDIES, NERUL.MAHARASHTRA, INDIA.
---------------------------------------------------------------------***--------------------------------------------------------------------
Abstract – Lots of different attacks like Wormhole attack in the
wirelesssensornetworkisoneofthegrowingresearch areasina
few years. Tiny devices are known as Wireless Sensor Network
[WSN] which have limited energy, computational power,
transmission range, and memory. Wireless sensor networks are
available in the open and unsecuredenvironment.Weproposethe
wormhole attack, a severe attack in ad hoc networks that is
particularly challengingtodefendagainst.Thewormholeattackis
possibleeveniftheattackerhasnotcompromisedanyhosts,andeven
if all communication provides authenticity and confidentiality. In
wormhole attacks, which undermines the performance gain of
networkcoding.Awirelesssensornetwork(WSN)consistsofalarge
number ofsensor nodes with limited batteries, the sensordevices
are deployed randomly on a zone to collect data. This paper is
focused on impact of wormhole detection and prevention with
differenttypesofrecoverymethod.
Key Words: Wireless sensor network, Security, Attacks,
Challenges,Wormhole,packetLeash,AdhocNetwork.
1.INTRODUCTION
The promise [1] of mobile ad hoc networks to solve
challenging real-world problems continues to attract
attention from industrial and academic research
projects. Applications that may require secure
communications include emergency response
operations, military or police networks, and safety-
critical business operations such as oil drilling
platforms or mining operations. For example in an
emergency, response operations such as after a natural
disaster like a flood, tornado, and hurricane, or
earthquake, ad hoc networks could be used for real-
time safety feedback; regular communication Networks
may be damaged, so emergencyrescueteamsmightrely
upon ad hoc networks for communication.
Inthispaper,weresearchondifferenttypesofattacksand
its challenges to get protection from wormhole attack,
and wepresent anew,generalmechanismfor detecting
and thus defending against wormhole attacks. In this
attack, an attacker store records into a packet, or
individual bits from a packet, at one location in the
network, tunnels the packet (possibly selectively) to
another location and replays it there. We discuss the
procedure of packet leashes to detectwormholeattacks,
and we present two types of leashes:geographicleashes
andtemporalleashes.We designanefficientauthentication
protocol, called TIK, for use with temporal leashes.
II. PROBLEM STATEMENT
Inawormholeattack,anattackerreceivespacketsinbits
at one location in the whole network, “tunnels” them to
another location in the network and then repeats them
into the network from that location. For tunnel spacing
longerthan the normal wireless transmission range ofa
single hop network. It is possible for anattackertomove
each bit of packets directly to the wormhole, without
waiting for the entire packet to be received before
beginning the tunnel. This attack hence prevents any
programs other than throughout the wormhole from
being found, and if the attacker is near the initiator of
the Route Discovery, this assault can even prevent
programs more than two hops long from being seen.
Permissible modes for the attacker to then misuse the
wormhole include dropping rather than transmittingall
data packets, thereby creatingastrongDenial-of-Service
attack (not another route to the destination can be
identified as long as the attacker maintainsthewormhole
for ROUTE REQUEST Packets), or selectively discarding or
modifying certain data packets. The neighbor discovery
mechanisms of periodic (proactive) routing network
protocols such as DSDV [7], OLSR [9] rely heavily on the
reception of broadcast packets as a means for neighbor
detectionandarealsoextremely fenceless tothis attack.
In such systems, an attacker could relay the
authentication exchanges to gainunauthorized access.
WSNThreatsAndRecoveryMethods
Wecanexaminewormholeattackasatwo-phasemethod
started by one or several malicious nodes. The various
threats prompt by the wormhole attack are selective
droppingormodificationofdatapackets,switchingoffthe
wormhole link periodically in order to Good node
Malicious generates unnecessary routing activities, they
also try to disrupt the data flow. It is also possible for the
attacker tosimply record thetrafficforlateranalysis.
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 2238
This section summarizes the related works in the
literatureforwormholeattackdetection&Prevention
as shown in the table 1 below.
Table 1.Summary of various defenses mechanisms for
Wormhole attack
III. DETECTING WORMHOLEATTACKS
Inthis part,weintroducetheconceptofapacketleash
as a general mechanism for detecting and protecting
against wormholeattacks.Aleashisaninformationthat
isaddedin apacketstructuredtobanthepacket’smost
allowed to the transmission distance. Leashes are
structured to protect against wormholes across a
separate wireless transmission;when we packet
broadcasted over multiple hops, then every
transmission expected the use of the new leash.
A. GeographicalLeashes
Each node must know its location and all nodes must
have loosely synchronized clocks. Location-based
routing protocols are an important group of protocolsin
WSNs in which position information isusedtoroutedata
towards the desired regions (sinkhole). Location-based
routing is also known as position-based, directional,
geographic, or geometric routing [15]. This section
briefly reviews the geographic routing protocols.
The geographic routing protocols are classified
into five groups, based on how the next hop is chosen.
TheGreedy Routing Scheme (GRS) is the firstgroup of
a geographic routing protocol in which each node
selects thebestnodeamongtheneighborsthatisclosest
tothedestination.GPSRisanexamplealgorithmfallsin
this category in which a packet should be forwarded
hopbyhopbasedonGRSand availablelocalinformation,
which is actually gathered by the Global Positioning
System (GPS) until it meets a void area. In this way, the
received messagemust bepassed tothefirst neighbor
counterclockwiseaboutitself[16].Thenextgroup ofthe
geographic routing protocols is called Most-Forward-
within-R strategy (MFR). In MFR, the packet is sent to
the most forward node to destination among the
neighbors of the sender based on the transmission
range (R). The third approachistheNearest-Forward-
Progressscheme(NFP)in which the nearest neighbor
to the transmitter is chosen to senddata.Thecompass
routingscheme(CMP)isthefourth system among the
geographical routing protocols. In this scheme, the
neighbor that has a minimum angle to the imaginary
line between the source and destination is selectedas
thenexthop.Low-energyforwardscheme(LEF)selects
a neighbor that requires a minimum energy to
transmit packets. However, among these geographic
routing protocols, the GRS is more popular and more
applicable than the other methods due to the rate of
delay and energy of this method [17, 18]. Fig. 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 2239
illustrates how the next node will be selected in the
different typeofforwardingapproachestotransferthe
packetfromsource(S)todestination(D)node.
Temporal Leashes
Tobuild atemporal leash,ingeneral,allnodesmust
have tightlysynchronizedclocks,suchthatmostofthe
difference between any two nodes’ clocks is! The
value of the parameter!Mustbeknown byallnodesin
thenetwork,and fortemporalleashes,generallymust
beontheorderofafew microsecondsorevenhundreds
ofnanoseconds.Thislevel oftimesynchronizationcan
beaccomplishednowwithoff- the-shelfhardwarebased
on LORAN-C [5], WWVB [6], GPS [3], [13], or on-chip
atomic clocks currently under development at NIST
[4]; although such hardware is not currently a
common part of wireless network nodes, it can be
deployed innetworks todayandisexpectedtobecome
more widely utilized in future systems at reduced
expense, size, weight, and power
consumption.Alternatively, a temporal leash is
inventedbyalternativelyincludingterminationtimein
the packet, after which the receiver does not receive
thepacket; basedontheallowed highest transmission
distance and the speed of light,thesenderinitiatesthis
expirationtimeinthepacketasanoffsetfromthetimeat
which it forwards the packet.
TheProposedmechanismtodetectandprevent wormhole
attack
To discover multiple paths between the source and the
destination in every route discovery Ad-hoc On-demand
Multipath Distance Vector routing protocol (AOMDV) is
used which is an extension of the AODV protocol.
Whenever the destination receives the RREQ
packet it sends RREP packet to the source along the
same path throughwhichtheRREQpackethasarrived.
ForallRREQ packets arrived through other routes the
RREP packets are sent along the same path. All the
paths are stored in theroutingtableatthesourcenode.
Themain conceptin AOMDVisduringroutediscovery
procedure to estimate multiple paths for contending
linkfailure.WhenAOMDV buildsmultiplepaths,itwill
select the main path for data transmission which is
based on the time of routing establishment. Only
when the main path is down other paths can be
effective and the earliest one will be regardedthe best
one.[19]
VI. EVALUATION
TIK Performance
To evaluate the suitability of our function in ad hoc
networks foruse,westudiedcomputationalpowerand
memorywhich are currently receivable in all type of
mobile devices. To scalethenumberofrepeatedhashes
thatcanbecountedper second, we improved the MD5
hash code from ISI [12] to achieve supreme
performance for repeated hashing.
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 2240
Security Analysis
A malicious sender requests false timestamp or
location that deliver a legitimate receiver to have
incorrect beliefs about whether or packet does not
tunnel.Whengeographicleashesareusedinconjunction
with digital signatures, nodes may be able to detect a
maliciousnodeandspreadthatinformationtoanother
node, asdiscussed in SectionIV-C.
Comparison Between Geographic and Temporal Leashes
Fig.3. These two network topologies are not
distinguishable by topology based wormhole
detection,yet one contains a wormhole and the other
does not. The dotted line in the figure on the left
represents the wormhole.
Security of Topology-Based Approaches
Some researchers [14], have created a method to
detect wormholes by constructing a model of the
networktopology basedonidentifyincorrectdistance
measurements between neighbor nodes that can
receive packets from each other (possibly through a
wormhole); wormholes can then be visualizedinthis
topologybytheanomaliestheyintroduce, bendingthe
topology so that the nodes on either side of the
wormhole appear closer together. However, such
topology- based approaches alone cannot detect all
wormholes.
Contribution
In the beginning, we focus on the impact of wormhole
attack in wireless networks. Then present a very
detailed discussion about different types of existing
solutions against wormhole attacks along with the
effects of long transmission on these solutions. Study
different papers on wormhole attack and their
recovery methods which is mention in this paper. We
study packet leashes which have two types 1)
Geographical Leashes, 2) Temporal Leashes. Then
compare both each other. Also we found how to
prevent this types of attacks using TIK. It is an third
party and dangerousattackwhichareverydangerous.
Thiscomparisongivesthecompleteoverviewofeach
type of solution against wormhole attacks including
their network type, routing protocol, hardware or
clock synchronizationrequirements,typeofwormhole
detected andconsiderationofmulti-ratetransmission.
CONCLUSIONS
Inthispaper,wehaveintroducedthewormholeattack,
a powerfulattackthatcanhaveseriousconsequenceson
many proposedadhocnetworkroutingprotocols;the
wormhole attackmayalsobeexploitedinothertypesof
networks and applications, such as wireless access
control systems based on physical proximity. To
detect and defend against the
wormholeattack,weintroducedpacketleashes,which
may be either geographic or temporal leashes, to restrict
the maximum transmission distance of a packet. Finally,
to implement temporal leashes, we presentedthedesign
and performance analysis of a novel, efficient protocol,
called TIK, which also provides instant authenticationof
received packets.
When we use conjunction with well-defined
timestampsand tight clocksynchronizationindevices,
TIIM can struggle withwormholeattacksinnetworks,
which canreachsignals more than the given range of
radio or any other section can be defined. Sufficiently
tight clock synchronization can be performed in a
wireless LAN using commercial GPS receivers [13], and
wireless MAN technology could be enough time-
synchronized using either GPS or LORAN-C [5] radio
signals. Using a TIC, a Mac layer protocol is efficiently
protected against replaying, spoofing and wormhole
attacks, and assures strong freshness. TIK is
implementable with modern technologies and
important supplemental processing overheadonMAC
layer is not required since the respective packet
authentication canbeexecuted onthehostCPU.
REFERENCES
1. Wormhole Attacks in Wireless Networks.pdf
2. ARC International. ARC releases
BlueForm,a comprehensive solution for
Bluetooth systems on a chip. Press Release 6-04-
01, Elstree, United Kingdom. Available
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 2241
3. at http://www.arccores.com/newsevents/PR/6-
04-01-2.htm, June 4 2001.
4. Stefan Brands and David Chaum. Distance-
Bounding Protocols. In Workshop on the theory
and application of cryptographic techniques on
Advances in Cryptology (CRYPTO 1994), volume
839 of Lecture Notes in Computer Science, pages
344–359. Springer-Verlag, August 1994.
5. Defense Advanced Research Projects Agency.
Frequently Asked Questions v4 for BAA 01-01,
FCS Communications Technology. Washington,
DC. Available at
http://www.darpa.mil/ato/solicit/
baa01_01faqv4.doc, October 2000.
6. Tim Kindberg, Kan Zhang, and Narendra Shankar.
Context Authentication Using Constrained
Channels. In Proceedings of the Fourth IEEE
Workshop on Mobile Computing Systems and
Applications (WMCSA 2002), pages 14–21, June
2002
7. Ralph Merkle. Protocols for Public Key
Cryptosystems. In Proceedings of the IEEE
Symposium on Research in Security and Privacy,
pages 122–136, April 1980
8. David L. Mills. A Computer-Controlled LORAN-C
Receiver for Precision Timekeeping. Technical
Report 92-3-1, Department of Electrical and
Computer Engineering, University of Delaware,
Newark, DE, March 1992.
9. David L. Mills. A Precision Radio Clock for WWV
Transmissions. Technical Report 97-8-1,
Department of Electrical and Computer
Engineering, University of Delaware, Newark, DE,
August 1997.
10. Adrian Perrig, Ran Canetti, Doug Tygar, andDawn
Song. Efficient Authentication and Signature of
Multicast Streams
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12. Proxim, Inc. Datasheet for Proxim Harmony
802.11a CardBusCard. Sunnyvale, CA.Availableat
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docs/ds/har mony_11a_cardbus.pdf.
13. Amir Qayyum, Laurent Viennot, and Anis Laouiti.
Multipoint Relaying: An Efficient Technique for
Flooding in Mobile Wireless Networks. Technical
Report Research Report RR-3898, Project
HYPERCOM, INRIA, February 2000.
14. Karen E. Sirois and Stephen T. Kent. Securing the
Nimrod Routing Architecture. In Proceedings of
the 1997 Symposiumon Network and Distributed
Systems Security (NDSS’97), pages 74–84,
February 1997.
15. Frank Stajano and Ross Anderson. The
Resurrecting Duckling: Security Issuesfor Ad-hoc
Wireless Networks. In Security Protocols, 7th
International Workshop, edited by B.
Christianson, B. Crispo, and M. Roe. Springer-
Verlag, Berlin Germany, 1999.
16. Joseph D. Touch. Performance Analysis of MD5. In
Proceedingsof the ACM SIGCOMM ’95 Conference
on Applications, Technologies, Architectures, and
Protocols for Computer Communication, pages
77–86, August 1995.
17. Trimble Navigation Limited. Data Sheet and
Specifications for Trimble Thunderbolt GPS
Disciplined Clock. Sunnyvale, California. Available
at http://www.trimble.com/thunderbolt.html
18. Akkaya K, Younis M (2005) A survey on routing
protocols for wireless sensor networks.
19. Ad Hoc Networks 3: 325–349.
20. Eslaminejad M, Shukor AR, Sookhak M,
Haghparast M (2011) A review of routing
mechanisms in wireless sensor networks.
21. International Journal of Computer Science and
Telecommunications 2: 1–9.
22. Sohraby K, Minoli D, Znati T (2007) Wireless
Sensor Networks: Technology,
23. Protocols, and Applications. Wiley-Interscience.
24. Eslaminejad M, Shukor AR, Sookhak M (2012)
Classification of energy-efficientroutingprotocols
for wireless sensor networks.
25. Ad-hoc & sensor wireless networks 17: 103–129.
26. Detection and Prevention of Wormhole Attack in
Wireless Sensor Network using AOMDV
Protocol.pd

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IRJET-Impact of Worm hole Attack in Wireless Sensor Network

  • 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 2237 IMPACT OF WORMHOLE ATTACK IN WIRELESS SENSOR NETWORK Onkar Adarkar1, Rupesh Mane2, Prof. Dipali Shah 1,2STUDENT OF DEPT OF MCA NCRD’S SIMS STUDIES, NERUL.MAHARASHTRA, INDIA 3ASS0CIATE PROFESSOR, DEPT OF MCA NCRD’S SIMS STUDIES, NERUL.MAHARASHTRA, INDIA. ---------------------------------------------------------------------***-------------------------------------------------------------------- Abstract – Lots of different attacks like Wormhole attack in the wirelesssensornetworkisoneofthegrowingresearch areasina few years. Tiny devices are known as Wireless Sensor Network [WSN] which have limited energy, computational power, transmission range, and memory. Wireless sensor networks are available in the open and unsecuredenvironment.Weproposethe wormhole attack, a severe attack in ad hoc networks that is particularly challengingtodefendagainst.Thewormholeattackis possibleeveniftheattackerhasnotcompromisedanyhosts,andeven if all communication provides authenticity and confidentiality. In wormhole attacks, which undermines the performance gain of networkcoding.Awirelesssensornetwork(WSN)consistsofalarge number ofsensor nodes with limited batteries, the sensordevices are deployed randomly on a zone to collect data. This paper is focused on impact of wormhole detection and prevention with differenttypesofrecoverymethod. Key Words: Wireless sensor network, Security, Attacks, Challenges,Wormhole,packetLeash,AdhocNetwork. 1.INTRODUCTION The promise [1] of mobile ad hoc networks to solve challenging real-world problems continues to attract attention from industrial and academic research projects. Applications that may require secure communications include emergency response operations, military or police networks, and safety- critical business operations such as oil drilling platforms or mining operations. For example in an emergency, response operations such as after a natural disaster like a flood, tornado, and hurricane, or earthquake, ad hoc networks could be used for real- time safety feedback; regular communication Networks may be damaged, so emergencyrescueteamsmightrely upon ad hoc networks for communication. Inthispaper,weresearchondifferenttypesofattacksand its challenges to get protection from wormhole attack, and wepresent anew,generalmechanismfor detecting and thus defending against wormhole attacks. In this attack, an attacker store records into a packet, or individual bits from a packet, at one location in the network, tunnels the packet (possibly selectively) to another location and replays it there. We discuss the procedure of packet leashes to detectwormholeattacks, and we present two types of leashes:geographicleashes andtemporalleashes.We designanefficientauthentication protocol, called TIK, for use with temporal leashes. II. PROBLEM STATEMENT Inawormholeattack,anattackerreceivespacketsinbits at one location in the whole network, “tunnels” them to another location in the network and then repeats them into the network from that location. For tunnel spacing longerthan the normal wireless transmission range ofa single hop network. It is possible for anattackertomove each bit of packets directly to the wormhole, without waiting for the entire packet to be received before beginning the tunnel. This attack hence prevents any programs other than throughout the wormhole from being found, and if the attacker is near the initiator of the Route Discovery, this assault can even prevent programs more than two hops long from being seen. Permissible modes for the attacker to then misuse the wormhole include dropping rather than transmittingall data packets, thereby creatingastrongDenial-of-Service attack (not another route to the destination can be identified as long as the attacker maintainsthewormhole for ROUTE REQUEST Packets), or selectively discarding or modifying certain data packets. The neighbor discovery mechanisms of periodic (proactive) routing network protocols such as DSDV [7], OLSR [9] rely heavily on the reception of broadcast packets as a means for neighbor detectionandarealsoextremely fenceless tothis attack. In such systems, an attacker could relay the authentication exchanges to gainunauthorized access. WSNThreatsAndRecoveryMethods Wecanexaminewormholeattackasatwo-phasemethod started by one or several malicious nodes. The various threats prompt by the wormhole attack are selective droppingormodificationofdatapackets,switchingoffthe wormhole link periodically in order to Good node Malicious generates unnecessary routing activities, they also try to disrupt the data flow. It is also possible for the attacker tosimply record thetrafficforlateranalysis.
  • 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 2238 This section summarizes the related works in the literatureforwormholeattackdetection&Prevention as shown in the table 1 below. Table 1.Summary of various defenses mechanisms for Wormhole attack III. DETECTING WORMHOLEATTACKS Inthis part,weintroducetheconceptofapacketleash as a general mechanism for detecting and protecting against wormholeattacks.Aleashisaninformationthat isaddedin apacketstructuredtobanthepacket’smost allowed to the transmission distance. Leashes are structured to protect against wormholes across a separate wireless transmission;when we packet broadcasted over multiple hops, then every transmission expected the use of the new leash. A. GeographicalLeashes Each node must know its location and all nodes must have loosely synchronized clocks. Location-based routing protocols are an important group of protocolsin WSNs in which position information isusedtoroutedata towards the desired regions (sinkhole). Location-based routing is also known as position-based, directional, geographic, or geometric routing [15]. This section briefly reviews the geographic routing protocols. The geographic routing protocols are classified into five groups, based on how the next hop is chosen. TheGreedy Routing Scheme (GRS) is the firstgroup of a geographic routing protocol in which each node selects thebestnodeamongtheneighborsthatisclosest tothedestination.GPSRisanexamplealgorithmfallsin this category in which a packet should be forwarded hopbyhopbasedonGRSand availablelocalinformation, which is actually gathered by the Global Positioning System (GPS) until it meets a void area. In this way, the received messagemust bepassed tothefirst neighbor counterclockwiseaboutitself[16].Thenextgroup ofthe geographic routing protocols is called Most-Forward- within-R strategy (MFR). In MFR, the packet is sent to the most forward node to destination among the neighbors of the sender based on the transmission range (R). The third approachistheNearest-Forward- Progressscheme(NFP)in which the nearest neighbor to the transmitter is chosen to senddata.Thecompass routingscheme(CMP)isthefourth system among the geographical routing protocols. In this scheme, the neighbor that has a minimum angle to the imaginary line between the source and destination is selectedas thenexthop.Low-energyforwardscheme(LEF)selects a neighbor that requires a minimum energy to transmit packets. However, among these geographic routing protocols, the GRS is more popular and more applicable than the other methods due to the rate of delay and energy of this method [17, 18]. Fig. 1
  • 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 2239 illustrates how the next node will be selected in the different typeofforwardingapproachestotransferthe packetfromsource(S)todestination(D)node. Temporal Leashes Tobuild atemporal leash,ingeneral,allnodesmust have tightlysynchronizedclocks,suchthatmostofthe difference between any two nodes’ clocks is! The value of the parameter!Mustbeknown byallnodesin thenetwork,and fortemporalleashes,generallymust beontheorderofafew microsecondsorevenhundreds ofnanoseconds.Thislevel oftimesynchronizationcan beaccomplishednowwithoff- the-shelfhardwarebased on LORAN-C [5], WWVB [6], GPS [3], [13], or on-chip atomic clocks currently under development at NIST [4]; although such hardware is not currently a common part of wireless network nodes, it can be deployed innetworks todayandisexpectedtobecome more widely utilized in future systems at reduced expense, size, weight, and power consumption.Alternatively, a temporal leash is inventedbyalternativelyincludingterminationtimein the packet, after which the receiver does not receive thepacket; basedontheallowed highest transmission distance and the speed of light,thesenderinitiatesthis expirationtimeinthepacketasanoffsetfromthetimeat which it forwards the packet. TheProposedmechanismtodetectandprevent wormhole attack To discover multiple paths between the source and the destination in every route discovery Ad-hoc On-demand Multipath Distance Vector routing protocol (AOMDV) is used which is an extension of the AODV protocol. Whenever the destination receives the RREQ packet it sends RREP packet to the source along the same path throughwhichtheRREQpackethasarrived. ForallRREQ packets arrived through other routes the RREP packets are sent along the same path. All the paths are stored in theroutingtableatthesourcenode. Themain conceptin AOMDVisduringroutediscovery procedure to estimate multiple paths for contending linkfailure.WhenAOMDV buildsmultiplepaths,itwill select the main path for data transmission which is based on the time of routing establishment. Only when the main path is down other paths can be effective and the earliest one will be regardedthe best one.[19] VI. EVALUATION TIK Performance To evaluate the suitability of our function in ad hoc networks foruse,westudiedcomputationalpowerand memorywhich are currently receivable in all type of mobile devices. To scalethenumberofrepeatedhashes thatcanbecountedper second, we improved the MD5 hash code from ISI [12] to achieve supreme performance for repeated hashing.
  • 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 2240 Security Analysis A malicious sender requests false timestamp or location that deliver a legitimate receiver to have incorrect beliefs about whether or packet does not tunnel.Whengeographicleashesareusedinconjunction with digital signatures, nodes may be able to detect a maliciousnodeandspreadthatinformationtoanother node, asdiscussed in SectionIV-C. Comparison Between Geographic and Temporal Leashes Fig.3. These two network topologies are not distinguishable by topology based wormhole detection,yet one contains a wormhole and the other does not. The dotted line in the figure on the left represents the wormhole. Security of Topology-Based Approaches Some researchers [14], have created a method to detect wormholes by constructing a model of the networktopology basedonidentifyincorrectdistance measurements between neighbor nodes that can receive packets from each other (possibly through a wormhole); wormholes can then be visualizedinthis topologybytheanomaliestheyintroduce, bendingthe topology so that the nodes on either side of the wormhole appear closer together. However, such topology- based approaches alone cannot detect all wormholes. Contribution In the beginning, we focus on the impact of wormhole attack in wireless networks. Then present a very detailed discussion about different types of existing solutions against wormhole attacks along with the effects of long transmission on these solutions. Study different papers on wormhole attack and their recovery methods which is mention in this paper. We study packet leashes which have two types 1) Geographical Leashes, 2) Temporal Leashes. Then compare both each other. Also we found how to prevent this types of attacks using TIK. It is an third party and dangerousattackwhichareverydangerous. Thiscomparisongivesthecompleteoverviewofeach type of solution against wormhole attacks including their network type, routing protocol, hardware or clock synchronizationrequirements,typeofwormhole detected andconsiderationofmulti-ratetransmission. CONCLUSIONS Inthispaper,wehaveintroducedthewormholeattack, a powerfulattackthatcanhaveseriousconsequenceson many proposedadhocnetworkroutingprotocols;the wormhole attackmayalsobeexploitedinothertypesof networks and applications, such as wireless access control systems based on physical proximity. To detect and defend against the wormholeattack,weintroducedpacketleashes,which may be either geographic or temporal leashes, to restrict the maximum transmission distance of a packet. Finally, to implement temporal leashes, we presentedthedesign and performance analysis of a novel, efficient protocol, called TIK, which also provides instant authenticationof received packets. When we use conjunction with well-defined timestampsand tight clocksynchronizationindevices, TIIM can struggle withwormholeattacksinnetworks, which canreachsignals more than the given range of radio or any other section can be defined. Sufficiently tight clock synchronization can be performed in a wireless LAN using commercial GPS receivers [13], and wireless MAN technology could be enough time- synchronized using either GPS or LORAN-C [5] radio signals. Using a TIC, a Mac layer protocol is efficiently protected against replaying, spoofing and wormhole attacks, and assures strong freshness. TIK is implementable with modern technologies and important supplemental processing overheadonMAC layer is not required since the respective packet authentication canbeexecuted onthehostCPU. REFERENCES 1. Wormhole Attacks in Wireless Networks.pdf 2. ARC International. ARC releases BlueForm,a comprehensive solution for Bluetooth systems on a chip. Press Release 6-04- 01, Elstree, United Kingdom. Available
  • 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 2241 3. at http://www.arccores.com/newsevents/PR/6- 04-01-2.htm, June 4 2001. 4. Stefan Brands and David Chaum. Distance- Bounding Protocols. In Workshop on the theory and application of cryptographic techniques on Advances in Cryptology (CRYPTO 1994), volume 839 of Lecture Notes in Computer Science, pages 344–359. Springer-Verlag, August 1994. 5. Defense Advanced Research Projects Agency. Frequently Asked Questions v4 for BAA 01-01, FCS Communications Technology. Washington, DC. Available at http://www.darpa.mil/ato/solicit/ baa01_01faqv4.doc, October 2000. 6. Tim Kindberg, Kan Zhang, and Narendra Shankar. Context Authentication Using Constrained Channels. In Proceedings of the Fourth IEEE Workshop on Mobile Computing Systems and Applications (WMCSA 2002), pages 14–21, June 2002 7. Ralph Merkle. Protocols for Public Key Cryptosystems. In Proceedings of the IEEE Symposium on Research in Security and Privacy, pages 122–136, April 1980 8. David L. Mills. A Computer-Controlled LORAN-C Receiver for Precision Timekeeping. Technical Report 92-3-1, Department of Electrical and Computer Engineering, University of Delaware, Newark, DE, March 1992. 9. David L. Mills. A Precision Radio Clock for WWV Transmissions. Technical Report 97-8-1, Department of Electrical and Computer Engineering, University of Delaware, Newark, DE, August 1997. 10. Adrian Perrig, Ran Canetti, Doug Tygar, andDawn Song. Efficient Authentication and Signature of Multicast Streams 11. over Lossy Channels. In Proceedings of the IEEE Symposium on Research in Security and Privacy, pages 56–73, May 2000. 12. Proxim, Inc. Datasheet for Proxim Harmony 802.11a CardBusCard. Sunnyvale, CA.Availableat http://www.proxim.com/products/all/harmony/ docs/ds/har mony_11a_cardbus.pdf. 13. Amir Qayyum, Laurent Viennot, and Anis Laouiti. Multipoint Relaying: An Efficient Technique for Flooding in Mobile Wireless Networks. Technical Report Research Report RR-3898, Project HYPERCOM, INRIA, February 2000. 14. Karen E. Sirois and Stephen T. Kent. Securing the Nimrod Routing Architecture. In Proceedings of the 1997 Symposiumon Network and Distributed Systems Security (NDSS’97), pages 74–84, February 1997. 15. Frank Stajano and Ross Anderson. The Resurrecting Duckling: Security Issuesfor Ad-hoc Wireless Networks. In Security Protocols, 7th International Workshop, edited by B. Christianson, B. Crispo, and M. Roe. Springer- Verlag, Berlin Germany, 1999. 16. Joseph D. Touch. Performance Analysis of MD5. In Proceedingsof the ACM SIGCOMM ’95 Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication, pages 77–86, August 1995. 17. Trimble Navigation Limited. Data Sheet and Specifications for Trimble Thunderbolt GPS Disciplined Clock. Sunnyvale, California. Available at http://www.trimble.com/thunderbolt.html 18. Akkaya K, Younis M (2005) A survey on routing protocols for wireless sensor networks. 19. Ad Hoc Networks 3: 325–349. 20. Eslaminejad M, Shukor AR, Sookhak M, Haghparast M (2011) A review of routing mechanisms in wireless sensor networks. 21. International Journal of Computer Science and Telecommunications 2: 1–9. 22. Sohraby K, Minoli D, Znati T (2007) Wireless Sensor Networks: Technology, 23. Protocols, and Applications. Wiley-Interscience. 24. Eslaminejad M, Shukor AR, Sookhak M (2012) Classification of energy-efficientroutingprotocols for wireless sensor networks. 25. Ad-hoc & sensor wireless networks 17: 103–129. 26. Detection and Prevention of Wormhole Attack in Wireless Sensor Network using AOMDV Protocol.pd