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ISSN: 2277 – 9043
                  International Journal of Advanced Research in Computer Science and Electronics Engineering
                                                                              Volume 1, Issue 6, August 2012




   Detection/Removal of Black Hole Attack in
           Mobile Ad-Hoc Networks
                            Sandeep Lalasaheb Dhende1, Prof. Mrs. D. M. Bhalerao2

                         Department of E&TC, Sinhgad College of Engg., Pune, India.



                                                               technique to identify black attack and a solution to
Abstract- The inherent features (such as-open medium,          discover a safe route avoiding black hole attack.
dynamically changing network topology, lack of
centralized monitoring and management point, and lack                    II. BLACK HOLE ATTACK PROBLEM
of a clear line of defense) of the MANET make it
vulnerable to a wide range of attacks. There is no               In an ad hoc network that uses the DSR/AODV
guarantee that a communication path is free from               protocol, a black hole node pretends to have a fresh
malicious or compromised nodes which deliberately              enough routes to all destinations requested b all the
wish to disrupt the network communication. So                  nodes and absorb the network traffic.
protecting the mobile ad-hoc network from malicious
attacks is very important and challenging issue. In this         When source node broadcasts the RREQ message
paper we address the problem of packet forwarding
misbehavior and propose a mechanism to detect and
                                                               for any destination, the black hole node immediately
remove the black attack.                                       responds with the RREP message and with next hope
                                                               details. This message is perceived as, if it is coming
Keywords: ad hoc networks, black hole, security,               from the destination or from a node which has a fresh
routing, AODV                                                  enough route to the destination. The source node
                                                               assume that the destination is behind the black hole
                  I. INTRODUCTION                              node and next hope node and perceives the other
                                                               RREP packets with next hope node coming from
  Ad hoc network is a wireless network without                 other nodes [5].
having any fixed infrastructure. Each mobile node in
an ad hoc network moves arbitrarily and acts as both
a router and a host [1]. A wireless ad-hoc network
consists of a collection of "peer" mobile nodes that
are capable of communicating with each other
without help from a fixed infrastructure. The
interconnections between nodes are capable of
changing on a continual and arbitrary basis. Nodes
within each other's radio range communicate directly
via wireless links, while those that are far apart use
other nodes as relays. Nodes usually share the same
physical media; they transmit and acquire signals at
the same frequency band. However, due to their
inherent characteristics of dynamic topology and lack
of centralized management security, MANET is
vulnerable to various kinds of attacks [2]. Black hole              Figure 1. Propagation of RREQ and RREP from A to E
attack is one of many possible attacks in MANET.
Black hole attack can occur when the malicious node              The source node then start to send out its data
on the path directly attacks the data traffic and              packets to the black hole node and after small time
intentionally drops, delay or alter the data traffic           interval to the other node, trusting that these packets
passing through it [3] [4]. There is lots of detection         will reach to the destination either by one link [6].
and defense mechanisms to eliminate the intruder that
carry out the black hole attack. We present a                   In the following illustrated Figure 2, imagine a
                                                               malicious node „M‟. When node „A‟ broadcast a



                                                                                                                         12
                                          All Rights Reserved © 2012 IJARCSEE
ISSN: 2277 – 9043
                   International Journal of Advanced Research in Computer Science and Electronics Engineering
                                                                               Volume 1, Issue 6, August 2012



RREQ packets, nodes „B‟ „D‟ and node „M‟ receives
it. Node „M‟ being a malicious node does not check
up with its routing table for the requested route to
node „E‟.

  Hence, it immediately sends back a RREP packet,
claiming a route to the destination. Node „A‟ receives
the RREP from „M‟ ahead of the RREP from „B‟ and
„D‟.

  Node „A‟ assumes that the route through „M‟ is the
shortest route and sends any packet to the destination
through it. When the node „A‟ sends data to „M‟, it
absorbs all the data and thus behaves like a „Black
hole‟. However in that solution next hope also
behaves as a malicious node they cannot identify it.




                                                                                   Figure 3. Detection of Black hole

                                                                    According to this proposed solution the requesting
                                                                  node without sending the DATA packets to the reply
                                                                  node at once, it has to wait till other replies. After
                                                                  receiving the first request it sets timer in the „Timer
                                                                  Expired Table‟, for collecting the further requests
                                                                  from different nodes. It will store the „Sequence
            Figure 2. Black hole attack in AODV
                                                                  number, and the time at which the packet arrives, in a
                                                                  first „Collect Route Reply Table‟ (CRRT).

                     III. SOLUTION                                  After the timeout value, we considered another
                                                                  destination node D1 in same network to repeat route
  We proposed a solution that is an enhancement of                establishment process to collect route replies from
the basic AODV routing protocol, which will be able               same nodes in second „Collect Route Reply Table‟
to avoid and detect black holes. To reduce the                    (CRRT). Here we can obtain two different „Collect
probability it is proposed to wait and check the                  Route Reply Table‟ (CRRT) because of two route
replies from all the neighboring nodes to find a safe             establishment process as shown below.
route.
                                                                                       Table 1. Routing details

                                                                            Source          Reply        Destination

                                                                                   s           M                  D

                                                                                   s           1                  D

                                                                                   s           2                  D




                                                                                                                       13
                                             All Rights Reserved © 2012 IJARCSEE
ISSN: 2277 – 9043
                   International Journal of Advanced Research in Computer Science and Electronics Engineering
                                                                               Volume 1, Issue 6, August 2012



                  Table 2. Routing details                              According to this proposed solution we considered
                                                                      another destination node D1 in same network, to
          Source       Reply       Destination                        repeat route establishment process to collect route
                                                                      replies from same nodes in second „Collect Route
              s          M               D1                           Reply Table‟ (CRRT). Which shows, if S wants to
                                                                      transmit to D1. So it first transmits the route request
                                                                      to all the neighboring nodes. Here node 1, node M
              s           2              D1                           and node 2 receive this request. The malicious node
                                                                      has no intention to transmit the DATA packets to the
              s           1              D1                           destination node D but it wants to intercept/collect
                                                                      the DATA from the source node S. So it immediately
                                                                      replies to the request as M. Instead of transmitting the
                                                                      DATA packets immediately through M, S has to wait
  Now compare first route reply from both the                         for further reply from the other nodes. After some
„Collect Route Reply Table‟ (CRRT), if we found the                   time it will receives the reply from node 1 as 1 and
same node replying very firstly in two different route                node 2 as 2 as shown in table.
establishment processes then such node can be                                              Table 3. Routing details
malicious node. Then we can choose second route
reply from first routing table for further                                       Source         Reply       Destination
communication as shown below.
                                                                                       S          M                   D

                                                                                       S           1                  D

                                                                                       s           2                  D



                                                                                           Table 4. Routing details

                                                                                 Source         Reply       Destination

              Figure 4. Solution to Black hole                                         s          M               D1

  Thus Black hole attacks can greatly be detected and                                  s           2              D1
reduced and DATA packets can be transmitted along
with chosen path.
                                                                                       s           1              D1
         IV. WORKING PRINCIPLE of AODV

  In the above figure 3, S wants to transmit to D. So
it first transmits the route request to all the                         Now compare first route reply from both the
neighboring nodes. Here node 1, node M and node 2                     „Collect Route Reply Table‟ (CRRT), if we found the
receive this request. The malicious node has no                       same node replying very firstly in two different route
intention to transmit the DATA packets to the                         establishment processes then such node can be
destination node D but it wants to intercept/collect                  malicious node. Then we can select second route
the DATA from the source node S. So it immediately                    reply from first routing table for further
replies to the request as M. Instead of transmitting the              communication as shown below.
DATA packets immediately through M, S has to wait
for further reply from the other nodes. After some
time it will receives the reply from node 1 as 1 and
node 2 as 2.




                                                                                                                           14
                                                 All Rights Reserved © 2012 IJARCSEE
ISSN: 2277 – 9043
                   International Journal of Advanced Research in Computer Science and Electronics Engineering
                                                                               Volume 1, Issue 6, August 2012



                                                                        Attacks in AODV Based MANET”, International
                                                                        Journal of Computer Science Issues, Vol.2 2009.
                                                                   [9] Kejun Liu, Jing Deng, “An Acknowledgment Based
                                                                        Approach for the Detection of Routing MIsbahavior in
                                                                        MANETS, IEEE Transaction in Mobile Computing,
                                                                        Vol. 6, Vol. 5, May 2007.
                                                                   [10] Satyajayant Misra, Kabi Bhattarai, Guoliang Xue,
                                                                        “BAMBi: Blackhole Attacks Mitigation Multiple Base
                                                                        station in Wireless Sensor Networks”, 2007
                                                                        IEEE.



             Figure 5. Prevention of Black hole




        V. CONCLUSION AND FUTURE WORK

  According to the proposed solution the required
security in MANET can be achieved with minimum
delay and control overhead and simultaneously we
can detect the Black hole attack and transmit DATA
packets to the destination.

  As future work, we intend to develop simulations to
analyze the performance of the proposed solution.

                      REFERENCES

[1] Latha Tamilselvan, Dr. V Sankaranarayanan,
    “Prevention of Black hole Attacks in MANET”, The
    2nd international Conference on Wireless Broadband
    and Ultra Wideband Communications, 2007 IEEE.
[2] N. Bhalaji, Dr. A Shanmugam, “Assosiation Between
    Nodes to Combat Blackhole Attacks in DSR Based
    MANET”, 2009 IEEE.
[3] Mehdi Medadian, M. H. Yektaie, A. M. Rahmani,
    “Combat with Blackhole Attack in AODV Routing
    Porotocol in MANET”, 9th Malaysia International
    Conference on Communication, 15-17 December
    2009.
[4] Yanzhi Ren, Mooi Choo Chuah, Jiee Yang Yingying
    Chen, “Detecting Blackhole Attacks in Disruption-
    Tolerant Networks through Packet Exchange
    Recording”, 2010 IEEE.
[5] Jaydip Sen, Sripad Koilakoda, Arijit Ukil, “A
    Mechanism for Detection of Cooperative Blackhole
    Attack in Mobile Adhoc Networks”, 2nd International
    Conference on Intelligent Systems Modeling and
    Simulation, 2011.
[6] Saurabh Gupta, Subrat kar, S Dharmaraja, “BAAP:
    Blackhole Attack Avoidance Protocol for Wireless
    NEtworks”, International Conference on Computer
    and Communication Technology, 2011.
[7] Lalit Himral, Vishal Vig, Nagesh Chand, “Preventing
    AODV Routing Protocol from Blackhole Attack”,
    International Journal of Engineering, Science and
    Technology, May 2011.
[8] Payal N. Raj, Prashant B. Swadas, “DPRAODV: A
    Dynamic Learning System Against           blackhole



                                                                                                                         15
                                              All Rights Reserved © 2012 IJARCSEE

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  • 1. ISSN: 2277 – 9043 International Journal of Advanced Research in Computer Science and Electronics Engineering Volume 1, Issue 6, August 2012 Detection/Removal of Black Hole Attack in Mobile Ad-Hoc Networks Sandeep Lalasaheb Dhende1, Prof. Mrs. D. M. Bhalerao2 Department of E&TC, Sinhgad College of Engg., Pune, India. technique to identify black attack and a solution to Abstract- The inherent features (such as-open medium, discover a safe route avoiding black hole attack. dynamically changing network topology, lack of centralized monitoring and management point, and lack II. BLACK HOLE ATTACK PROBLEM of a clear line of defense) of the MANET make it vulnerable to a wide range of attacks. There is no In an ad hoc network that uses the DSR/AODV guarantee that a communication path is free from protocol, a black hole node pretends to have a fresh malicious or compromised nodes which deliberately enough routes to all destinations requested b all the wish to disrupt the network communication. So nodes and absorb the network traffic. protecting the mobile ad-hoc network from malicious attacks is very important and challenging issue. In this When source node broadcasts the RREQ message paper we address the problem of packet forwarding misbehavior and propose a mechanism to detect and for any destination, the black hole node immediately remove the black attack. responds with the RREP message and with next hope details. This message is perceived as, if it is coming Keywords: ad hoc networks, black hole, security, from the destination or from a node which has a fresh routing, AODV enough route to the destination. The source node assume that the destination is behind the black hole I. INTRODUCTION node and next hope node and perceives the other RREP packets with next hope node coming from Ad hoc network is a wireless network without other nodes [5]. having any fixed infrastructure. Each mobile node in an ad hoc network moves arbitrarily and acts as both a router and a host [1]. A wireless ad-hoc network consists of a collection of "peer" mobile nodes that are capable of communicating with each other without help from a fixed infrastructure. The interconnections between nodes are capable of changing on a continual and arbitrary basis. Nodes within each other's radio range communicate directly via wireless links, while those that are far apart use other nodes as relays. Nodes usually share the same physical media; they transmit and acquire signals at the same frequency band. However, due to their inherent characteristics of dynamic topology and lack of centralized management security, MANET is vulnerable to various kinds of attacks [2]. Black hole Figure 1. Propagation of RREQ and RREP from A to E attack is one of many possible attacks in MANET. Black hole attack can occur when the malicious node The source node then start to send out its data on the path directly attacks the data traffic and packets to the black hole node and after small time intentionally drops, delay or alter the data traffic interval to the other node, trusting that these packets passing through it [3] [4]. There is lots of detection will reach to the destination either by one link [6]. and defense mechanisms to eliminate the intruder that carry out the black hole attack. We present a In the following illustrated Figure 2, imagine a malicious node „M‟. When node „A‟ broadcast a 12 All Rights Reserved © 2012 IJARCSEE
  • 2. ISSN: 2277 – 9043 International Journal of Advanced Research in Computer Science and Electronics Engineering Volume 1, Issue 6, August 2012 RREQ packets, nodes „B‟ „D‟ and node „M‟ receives it. Node „M‟ being a malicious node does not check up with its routing table for the requested route to node „E‟. Hence, it immediately sends back a RREP packet, claiming a route to the destination. Node „A‟ receives the RREP from „M‟ ahead of the RREP from „B‟ and „D‟. Node „A‟ assumes that the route through „M‟ is the shortest route and sends any packet to the destination through it. When the node „A‟ sends data to „M‟, it absorbs all the data and thus behaves like a „Black hole‟. However in that solution next hope also behaves as a malicious node they cannot identify it. Figure 3. Detection of Black hole According to this proposed solution the requesting node without sending the DATA packets to the reply node at once, it has to wait till other replies. After receiving the first request it sets timer in the „Timer Expired Table‟, for collecting the further requests from different nodes. It will store the „Sequence Figure 2. Black hole attack in AODV number, and the time at which the packet arrives, in a first „Collect Route Reply Table‟ (CRRT). III. SOLUTION After the timeout value, we considered another destination node D1 in same network to repeat route We proposed a solution that is an enhancement of establishment process to collect route replies from the basic AODV routing protocol, which will be able same nodes in second „Collect Route Reply Table‟ to avoid and detect black holes. To reduce the (CRRT). Here we can obtain two different „Collect probability it is proposed to wait and check the Route Reply Table‟ (CRRT) because of two route replies from all the neighboring nodes to find a safe establishment process as shown below. route. Table 1. Routing details Source Reply Destination s M D s 1 D s 2 D 13 All Rights Reserved © 2012 IJARCSEE
  • 3. ISSN: 2277 – 9043 International Journal of Advanced Research in Computer Science and Electronics Engineering Volume 1, Issue 6, August 2012 Table 2. Routing details According to this proposed solution we considered another destination node D1 in same network, to Source Reply Destination repeat route establishment process to collect route replies from same nodes in second „Collect Route s M D1 Reply Table‟ (CRRT). Which shows, if S wants to transmit to D1. So it first transmits the route request to all the neighboring nodes. Here node 1, node M s 2 D1 and node 2 receive this request. The malicious node has no intention to transmit the DATA packets to the s 1 D1 destination node D but it wants to intercept/collect the DATA from the source node S. So it immediately replies to the request as M. Instead of transmitting the DATA packets immediately through M, S has to wait Now compare first route reply from both the for further reply from the other nodes. After some „Collect Route Reply Table‟ (CRRT), if we found the time it will receives the reply from node 1 as 1 and same node replying very firstly in two different route node 2 as 2 as shown in table. establishment processes then such node can be Table 3. Routing details malicious node. Then we can choose second route reply from first routing table for further Source Reply Destination communication as shown below. S M D S 1 D s 2 D Table 4. Routing details Source Reply Destination Figure 4. Solution to Black hole s M D1 Thus Black hole attacks can greatly be detected and s 2 D1 reduced and DATA packets can be transmitted along with chosen path. s 1 D1 IV. WORKING PRINCIPLE of AODV In the above figure 3, S wants to transmit to D. So it first transmits the route request to all the Now compare first route reply from both the neighboring nodes. Here node 1, node M and node 2 „Collect Route Reply Table‟ (CRRT), if we found the receive this request. The malicious node has no same node replying very firstly in two different route intention to transmit the DATA packets to the establishment processes then such node can be destination node D but it wants to intercept/collect malicious node. Then we can select second route the DATA from the source node S. So it immediately reply from first routing table for further replies to the request as M. Instead of transmitting the communication as shown below. DATA packets immediately through M, S has to wait for further reply from the other nodes. After some time it will receives the reply from node 1 as 1 and node 2 as 2. 14 All Rights Reserved © 2012 IJARCSEE
  • 4. ISSN: 2277 – 9043 International Journal of Advanced Research in Computer Science and Electronics Engineering Volume 1, Issue 6, August 2012 Attacks in AODV Based MANET”, International Journal of Computer Science Issues, Vol.2 2009. [9] Kejun Liu, Jing Deng, “An Acknowledgment Based Approach for the Detection of Routing MIsbahavior in MANETS, IEEE Transaction in Mobile Computing, Vol. 6, Vol. 5, May 2007. [10] Satyajayant Misra, Kabi Bhattarai, Guoliang Xue, “BAMBi: Blackhole Attacks Mitigation Multiple Base station in Wireless Sensor Networks”, 2007 IEEE. Figure 5. Prevention of Black hole V. CONCLUSION AND FUTURE WORK According to the proposed solution the required security in MANET can be achieved with minimum delay and control overhead and simultaneously we can detect the Black hole attack and transmit DATA packets to the destination. As future work, we intend to develop simulations to analyze the performance of the proposed solution. REFERENCES [1] Latha Tamilselvan, Dr. V Sankaranarayanan, “Prevention of Black hole Attacks in MANET”, The 2nd international Conference on Wireless Broadband and Ultra Wideband Communications, 2007 IEEE. [2] N. Bhalaji, Dr. A Shanmugam, “Assosiation Between Nodes to Combat Blackhole Attacks in DSR Based MANET”, 2009 IEEE. [3] Mehdi Medadian, M. H. Yektaie, A. M. Rahmani, “Combat with Blackhole Attack in AODV Routing Porotocol in MANET”, 9th Malaysia International Conference on Communication, 15-17 December 2009. [4] Yanzhi Ren, Mooi Choo Chuah, Jiee Yang Yingying Chen, “Detecting Blackhole Attacks in Disruption- Tolerant Networks through Packet Exchange Recording”, 2010 IEEE. [5] Jaydip Sen, Sripad Koilakoda, Arijit Ukil, “A Mechanism for Detection of Cooperative Blackhole Attack in Mobile Adhoc Networks”, 2nd International Conference on Intelligent Systems Modeling and Simulation, 2011. [6] Saurabh Gupta, Subrat kar, S Dharmaraja, “BAAP: Blackhole Attack Avoidance Protocol for Wireless NEtworks”, International Conference on Computer and Communication Technology, 2011. [7] Lalit Himral, Vishal Vig, Nagesh Chand, “Preventing AODV Routing Protocol from Blackhole Attack”, International Journal of Engineering, Science and Technology, May 2011. [8] Payal N. Raj, Prashant B. Swadas, “DPRAODV: A Dynamic Learning System Against blackhole 15 All Rights Reserved © 2012 IJARCSEE