IJTC201510001-A New Approach to Enhance Security Against Mischievous Nodes Using Cooperative Bait Detection Scheme

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      INTERNATIONAL JOURNAL OF TECHNOLOGY AND COMPUTING (IJTC) 

    ISSN-2455-099X,

    Volume 1, Issue 1, OCTOBER 2015.

    2

    Fig. 1: Attacks in MANET

    CBDS - In mobile ad hoc networks, the most important is to establish the connection between

    the nodes and those nodes should cooperate with each other. In the vicinity of noxious nodes,this necessity may prompt genuine security concerns; for occasion, such nodes may disrupt

    the routing procedure. In this connection, anticipating or recognizing malevolent nodes

    dispatching gray hole or collective black hole assaults is a test. This paper include to

    determine this issue by planning a dynamic source directing (DSR)-based steering

    instrument, which is alluded to as the agreeable goad identification plan that coordinates the

     benefits of both proactive and responsive protection architectures. Our CBDS technique

    executes a converse following system to help in accomplishing the expressed objective. Thus

    results are given, demonstrating that in the vicinity of pernicious hub assaults, the CBDS

    outflanks the DSR, 2ACK, and best-exertion issue tolerant steering (BFTR) conventions

    (picked as benchmarks) as far as parcel conveyance proportion and directing overhead

    (picked as execution measurements).

    Fig. 2: CBDS Process

    Cooperative Bait Detection Scheme diminishes the questionable way information of

    malicious nodes and the trusted nodes in that malicious nodes answer to each RREP, as

    opposed to watching whether malicious nodes would drop packets. Presently, the extent of

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      INTERNATIONAL JOURNAL OF TECHNOLOGY AND COMPUTING (IJTC) 

    ISSN-2455-099X,

    Volume 1, Issue 1, OCTOBER 2015.

    3

     packets dropping was dismissed, and with the help of CBDS Techniques the malicious nodes

    of gray hole attack and black hole attack would be detected.

    II. Proposed System Architecture Overview

    This paper endeavors to determine collaborative attacks issue by planning an AODV routing

     presently DS Routing, known as CBDS (Cooperative Bait Detection Scheme). The CBDScoordinates the upsides of both proactive and receptive barrier architectures. In my

    methodology, the source hub automatically chooses a contiguous/ neighbor node with which

    to build up collaboration, the location of this node is utilized as bait destination address to

    cheat malicious node to send a RREP answer message. Malicious nodes are in this manner

    identified and forestalled against routing operation, utilizing a converse following strategy i.e.

    reverse tracing technique.

    Fig. 3: Proposed System Architecture

    Existing System  - DSR includes two primary procedures: route discovery and routemaintenance. To accomplish the route discovery stage, the source node shows a Route

    Request (RREQ) parcel through the system. In the event that a halfway node has directing

    data to the destination in its route cache, it will answer with a RREP to the source node. At

    the point when the RREQ is sent to a node, the node includes its address data into the course

    record in the RREQ bundle. When destination receives the RREQ, it can know each

    intermediary node’s address among the route. The destination node relies on the collected

    routing information among the packets in order to send a reply RREP message to the sourcenode along with the whole routing information of the established route.

    III. Problem Formulation 

    Mobile Ad Hoc Networks can be established in a brutal situation where it may impractical to convey a

    conventional network infrastructure. On the second hand ad hoc networks have vast potential; still

    there are many challenges left to overcome. Security is such a critical element, to the point that it

    could focus the achievement and wide sending of data. The wormhole attack is a sort of attack that

     performs the malicious action by making own connection and dodges genuine connection i.e. the

    actual path for data delivery. The general thought of this calculation is to distinguish malicious nodes

     propelling attacks and making trouble connections to keep them from correspondence system. Thissecurity plan gives the assurance against wormhole assault and hinders the exercises of aggressor hub.

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      INTERNATIONAL JOURNAL OF TECHNOLOGY AND COMPUTING (IJTC) 

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    Volume 1, Issue 1, OCTOBER 2015.

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    In the event of assault just about the system execution is totally down however proposed IPS plan

    enhances execution almost equivalent to ordinary directing. This work investigates an enthusiastic and

    an extremely straightforward thought, which can be actualized and tried in future for more number of

    assaults, by expanding the quantity of hubs in the system.

    IV.  Proposed Approach 

    Objectives:

    ▪  Connection between the nodes. 

    ▪  Find out the delivery hop limit with threshold

    ▪  Establishing connection with bait scheme.

    ▪  Broadcasting the malicious node matrix on the network

    There are lots of attacks in wireless network system. In which malicious node erroneously

    guaranteeing it as having the crisp and shortest way to the destination pull in traffic towards

    itself and after that drops it. The proposed methodology endeavors to determine this issue by planning a dynamic source routing (DSR) based directing instrument, which is alluded to

    right now draw recognition plan to CBDS that coordinates the benefits of both proactive and

    responsive resistance architectures. Our CBDS technique actualizes an opposite following

    strategy to help in accomplishing the expressed objective.

    i)  Initial Bait Step - The objective of the bait stage is to tempt a malicious node to send an

    answer RREP by sending the bait RREQ that it has used to promote itself. At this very

    moment shortest way to the node that confines the packets that were changed over. To

    accomplish this objective, the accompanying system is intended to create the destination

    location of the bait RREQ. The source node automatically chooses a nearby node. 

    Fig. 4: Random Selection of cooperative bait

    On the off chance that REP intentionally gave no answer RREP, it would be

    straightforwardly recorded on the black hole list by the source hub. If the REP node had sent

    an answer RREP, it would imply that there was no different malicious node in the system,

    aside from the course that is had gave; for this situation, the course revelation period of DSR

    will be begun. The course that REP gives won't be recorded in the decisions gave to the route

    discovery phase.

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      INTERNATIONAL JOURNAL OF TECHNOLOGY AND COMPUTING (IJTC) 

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    Volume 1, Issue 1, OCTOBER 2015.

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    ii) Reverse Tracing Step - The converse following step is utilized to identify the behaviors of

    malicious nodes through the route answer to the RREQ' message. On the off chance that a

    noxious node has gotten the RREQ, it will answer with a false RREP. Likewise, the reverse

    tracing operation will be directed for node accepting the RREP, with the objective to deduce

    the dubious information and the incidentally trusted zone in the route.

    Fig. 5: Reverse Tracking

    iii) Pseudo Code

    Send RREQ1

    if ( RREP1 == D true) \\ Here confirmation of the destination

    system=1; \\ If found node then establishing the link.

    elseif (Time > T1) \\ search till threshold time

    end process;

    else

    send RREQ1 again;

    end if

    end if

    if (W < T1) \\ w = packet delivery ratio drops

    Send Bait RREQ2

    else

    end process

    end if

    if (RREP1 == true)race Mech =1 ; \\ Starting the mechanism

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      INTERNATIONAL JOURNAL OF TECHNOLOGY AND COMPUTING (IJTC) 

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    Volume 1, Issue 1, OCTOBER 2015.

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    else

    end process;

    end if ;

    Initiate System;

    DN detected;

    DN = black listed; \\ malicious is black listed

    iv) Description of Proposed Algorithm - Each node sends a route request signal (RREQ). The

    neighbour nodes receive the RREQ signal and reply with a RREP signal. If the RREP signal

    is received back by the transmitting node, the system is judged as normal and data

    transmission can begin. Once the system starts transmitting data signal normally, packet

    delivery ratio is scanned. If the packet delivery ratio is above threshold limit, then no

    malicious nodes are present and the process terminates However if the transmitting node does

    not receive back RREP signal delivery hop limit is checked. If the delivery hop limit has not

    exceeded the threshold, RREQ is resend. Otherwise, the RREQ sending is terminated.

    Fig. 6: CBDS Flow

    Once the system begins transmitting information flag (signal) typically, the delivery status ofthe packet proportion is also checked. If the delivery status ratio is above the limit (threshold

    value) then no malicious nodes are available and the procedure ends. However in the event

    that bundle conveyance proportion drop is identified, a bait RREQ is sent and reaction is

    anticipated.. If there is no response then the packet delivery ratio drop may be due to

    inefficient routing and so CBDS is terminated. But if the transmitting node receives a RREP

    response to the bait RREQ, reverse tracing program is triggered and test packets and recheck

    messages are sent to confirm malicious node detection. On confirmation of malicious node,

    source node updates its list of malicious node with this new entry and broadcasts an alarm

    signal inside the network for all the nodes to follow suit. When all the nodes have updated

    their list of malicious nodes, the detected node is blacklisted and further communication to

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      INTERNATIONAL JOURNAL OF TECHNOLOGY AND COMPUTING (IJTC) 

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    Volume 1, Issue 1, OCTOBER 2015.

    7

    the node is stopped. In a randomly deployed node topology source node chooses the

    cooperative bait address randomly from its one hop neighbor nodes and sends the bait RREQ

    v) Processed Results:

    Fig. 7: Calculating Shortest Path

    Fig. 8: Result Graph

    V.  Conclusion 

    In this paper, we have dissected the security dangers a specially appointed system confronts

    and displayed the security target that should be accomplished. On one hand, the security-

    sensitive application used in Ad Hoc Network is needs rich quality of protection. Or secure

    connection, specially appointed system is intrinsically powerless against security attacks.

    Consequently, there is a need to make them more secure and powerful to adjust to the

    requesting necessities of these systems. The adaptability, straight forwardness and velocity

    with which these systems can be set up suggest they will increase more extensive application.

    This leaves Ad-hoc networks wide open for research to meet these demanding application.

    The research on MANET security is still in its early stage. The existing proposals are

    typically attack-oriented in that they first identify several security threats and then enhance

    the existing protocol or propose a new protocol to thwart such threats. Because the solutions

    are designed explicitly with the CBDS technique combines both proactive and reactivedetection schemes which enhance its efficiency of detection. It can be deployed for both self

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    deployed node topologies as well as randomly deployed node topologies. It is a network wide

    detection scheme wherein on detection of malicious node the entire network is informed

    about the detection by Alarm signal. CBDS has been successfully implemented on black hole

    and grey hole attacks before and has proved to be equally efficient in case of DoS attacks and

    Sleep deprivation attacks in our experiment too. Simulation result have shown an enhanced

    response and increased detection for CBDS. In future we would also like to examine the

     behavior of other attacks like Gray hole attack and Black hole attack and try to make the

     protection schemes on it and also try to enhance the performance of routing protocol that has

    consider in this dissertation to improves their routing capability.

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