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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.
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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 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
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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 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
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