MANETS suffer from constraints in power, storage and computational resources ,as a result, they are more
vulnerable to various communications security related attacks. therefore we attempt to focus on analyzing and
improving the security of routing protocol for MANETS viz. the Ad hoc On Demand Distance Vector
(AODV)routing protocol. We propose modifications to the AODV we propose an algorithm to counter the
Black hole attack on the routing protocols in MANETs. All the routes has unique sequence number and the
malicious node has the highest Destination Sequence number and it is the first RREP to arrive. So the
comparison is made only to the first entry in the table without checking other entries in the table
A Survey of various Methods of Preventing and Detecting Attacks on AODV-based...IJERD Editor
Mobile Ad hoc Network (MANET) is constructed from a collection of nodes that can move
anywhere and anytime in different areas without any infrastructure that means MANET is infrastructure less.
Each node works at the same time as router and host. Lack of a fixed infrastructure, wireless medium and
dynamic topology makes MANET vulnerable to different kinds of attacks like Gray hole and Black hole. In this
paper, we investigate different mechanisms that have designed to detect or prevent black or gray hole attacks in
AODV protocol. We discuss about advantages and disadvantages of the different methods.
Secure routing and data transmission in mobileIJCNCJournal
In this paper, we present an identity (ID) based protocol that secures AODV and TCP so that it can be used
in dynamic and attack prone environments of mobile ad hoc networks. The proposed protocol protects
AODV using Sequential Aggregate Signatures (SAS) based on RSA. It also generates a session key for each
pair of source-destination nodes of a MANET for securing the end-to-end transmitted data. Here each node
has an ID which is evaluated from its public key and the messages that are sent are authenticated with a
signature/ MAC. The proposed scheme does not allow a node to change its ID throughout the network
lifetime. Thus it makes the network secure against attacks that target AODV and TCP in MANET. We
present performance analysis to validate our claim.
A Survey of various Methods of Preventing and Detecting Attacks on AODV-based...IJERD Editor
Mobile Ad hoc Network (MANET) is constructed from a collection of nodes that can move
anywhere and anytime in different areas without any infrastructure that means MANET is infrastructure less.
Each node works at the same time as router and host. Lack of a fixed infrastructure, wireless medium and
dynamic topology makes MANET vulnerable to different kinds of attacks like Gray hole and Black hole. In this
paper, we investigate different mechanisms that have designed to detect or prevent black or gray hole attacks in
AODV protocol. We discuss about advantages and disadvantages of the different methods.
Secure routing and data transmission in mobileIJCNCJournal
In this paper, we present an identity (ID) based protocol that secures AODV and TCP so that it can be used
in dynamic and attack prone environments of mobile ad hoc networks. The proposed protocol protects
AODV using Sequential Aggregate Signatures (SAS) based on RSA. It also generates a session key for each
pair of source-destination nodes of a MANET for securing the end-to-end transmitted data. Here each node
has an ID which is evaluated from its public key and the messages that are sent are authenticated with a
signature/ MAC. The proposed scheme does not allow a node to change its ID throughout the network
lifetime. Thus it makes the network secure against attacks that target AODV and TCP in MANET. We
present performance analysis to validate our claim.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Performance Analysis and Simulation of OLSR Routing Protocol in MANET ijcnac
Mobile ad hoc network is a collection of wireless nodes that are communicate other
nodes (router) without using access point, infrastructure . Mobile ad-hoc network is an
autonomous system that means no need for depaentd other nodes it have own capability
to handle and controlling all funcitionlity, to sending and receiving all information form
one device to other device. MANET has power full feature that controlling itself by
dynamic nature, multihop,low power and configuration of the system. In this paper we
analyzing, simulation and implements the TC messages and HELLO Message by MPR of
OLSR routing performance checked at 200 nodes on Qualnet 5.0.2 simulator. In Qualnet
simulator to simulate and implement the performance of OLSR routing protocols takes
various performance metrics like hello message sent (HMS) , hello message received
(HMR), TC message generated (TCMG), TC message replied (TCMR), TC messages
received on Constant Bit Rate (CBR) using random waypoint model. In this paper check
the performance OLSR routing protocol gives effective performance for lage networks.
Performance Evaluation of DSDV & OLSR Proactive Protocols in MANETijsrd.com
MANETS are working in distributed environment and dynamically changing the network topology. MANET protocols can be table driven or on demand as per requirement. DSDV (Destination Sequenced Distance Vector) and OLSR (Optimized Link State Routing protocol) both are table driven (proactive) protocol. Performances of both proactive protocols are evaluated using NS-2 simulator under various metrics and no. of mobile nodes is 10 in the network.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Research Inventy : International Journal of Engineering and Scienceresearchinventy
Research Inventy : International Journal of Engineering and Science is published by the group of young academic and industrial researchers with 12 Issues per year. It is an online as well as print version open access journal that provides rapid publication (monthly) of articles in all areas of the subject such as: civil, mechanical, chemical, electronic and computer engineering as well as production and information technology. The Journal welcomes the submission of manuscripts that meet the general criteria of significance and scientific excellence. Papers will be published by rapid process within 20 days after acceptance and peer review process takes only 7 days. All articles published in Research Inventy will be peer-reviewed.
Experiment of Routing Protocol AODV (AdHoc On-demand Distance Vector)IJMER
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
International Journal of Modern Engineering Research (IJMER) covers all the fields of engineering and science: Electrical Engineering, Mechanical Engineering, Civil Engineering, Chemical Engineering, Computer Engineering, Agricultural Engineering, Aerospace Engineering, Thermodynamics, Structural Engineering, Control Engineering, Robotics, Mechatronics, Fluid Mechanics, Nanotechnology, Simulators, Web-based Learning, Remote Laboratories, Engineering Design Methods, Education Research, Students' Satisfaction and Motivation, Global Projects, and Assessment…. And many more.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Performance Analysis and Simulation of OLSR Routing Protocol in MANET ijcnac
Mobile ad hoc network is a collection of wireless nodes that are communicate other
nodes (router) without using access point, infrastructure . Mobile ad-hoc network is an
autonomous system that means no need for depaentd other nodes it have own capability
to handle and controlling all funcitionlity, to sending and receiving all information form
one device to other device. MANET has power full feature that controlling itself by
dynamic nature, multihop,low power and configuration of the system. In this paper we
analyzing, simulation and implements the TC messages and HELLO Message by MPR of
OLSR routing performance checked at 200 nodes on Qualnet 5.0.2 simulator. In Qualnet
simulator to simulate and implement the performance of OLSR routing protocols takes
various performance metrics like hello message sent (HMS) , hello message received
(HMR), TC message generated (TCMG), TC message replied (TCMR), TC messages
received on Constant Bit Rate (CBR) using random waypoint model. In this paper check
the performance OLSR routing protocol gives effective performance for lage networks.
Performance Evaluation of DSDV & OLSR Proactive Protocols in MANETijsrd.com
MANETS are working in distributed environment and dynamically changing the network topology. MANET protocols can be table driven or on demand as per requirement. DSDV (Destination Sequenced Distance Vector) and OLSR (Optimized Link State Routing protocol) both are table driven (proactive) protocol. Performances of both proactive protocols are evaluated using NS-2 simulator under various metrics and no. of mobile nodes is 10 in the network.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Research Inventy : International Journal of Engineering and Scienceresearchinventy
Research Inventy : International Journal of Engineering and Science is published by the group of young academic and industrial researchers with 12 Issues per year. It is an online as well as print version open access journal that provides rapid publication (monthly) of articles in all areas of the subject such as: civil, mechanical, chemical, electronic and computer engineering as well as production and information technology. The Journal welcomes the submission of manuscripts that meet the general criteria of significance and scientific excellence. Papers will be published by rapid process within 20 days after acceptance and peer review process takes only 7 days. All articles published in Research Inventy will be peer-reviewed.
Experiment of Routing Protocol AODV (AdHoc On-demand Distance Vector)IJMER
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
International Journal of Modern Engineering Research (IJMER) covers all the fields of engineering and science: Electrical Engineering, Mechanical Engineering, Civil Engineering, Chemical Engineering, Computer Engineering, Agricultural Engineering, Aerospace Engineering, Thermodynamics, Structural Engineering, Control Engineering, Robotics, Mechatronics, Fluid Mechanics, Nanotechnology, Simulators, Web-based Learning, Remote Laboratories, Engineering Design Methods, Education Research, Students' Satisfaction and Motivation, Global Projects, and Assessment…. And many more.
Review of Flooding Attack Detection in AODV Protocol for Mobile Ad-hoc Networkijsrd.com
Ad Hoc Networks are extremely vulnerable to attacks due to their dynamically changing topology, absence of conventional security infrastructures, vulnerability of nodes and channels and open medium of communication. Denial of Service (DoS) and Distributed DoS (DDoS) attacks are two of the most harmful threats to the network functionality. The Prevention methods like authentication and cryptography techniques alone are not able to provide the security to these types of networks. Therefore, efficient intrusion detection must be deployed to facilitate the identification and isolation of attacks. Major attacks on Mobile Ad hoc networks are flooding, selective forwarding, sinkhole, wormhole etc. We have presented various intrusion detection techniques in MANET. Then we have proposed a method to detect flooding attack in MANET.
Analysis of Blackhole Attack in AODV and DSR IJECEIAES
Mobile Ad-Hoc Networks (MANETs) are supreme ruler and demoralization wireless scheme. MANETs are infrastructure less i.e. their structure is not fixed, and the nodes be able to move about and can leave the network whenever they want. The nodes are to perform as more over router and host. In MANETs, the node can be in contact with every node as their configuration is not fixed and the nodes starts transmitting the packets to each other for the establishment of the connection. To hitch the link, the nodes make use of some routing protocols like Ad-Hoc On Demand Distance Vector (AODV), Dynamic Source Routing (DSR), and DestinationSequenced Distance Vector (DSDV). Security in MANET is the key matter meant for the fundamental utility of network. There are many attacks caused in MANET. Blackhole attack is one that occurs in MANET. A Black hole attack is an attack where the node, which is malicious advertise itself as having the optimal route to the destination and drops all the packets instead of forwarding further t o the destination. Here, we have shown the blackhole attack in AODV and DSR. Through simulation we evaluate the performance of the two above protocols under blackhole attack.
Mobile Ad hoc Networks (MANETs) are characterized by open structure, lack of standard infrastructure
and un-accessibility to the trusted servers. The performance of various MANET routing protocols is
significantly affected due to frequently changing network topology, confined network resources and
security of data packets. In this paper, a simulation based performance comparison of one of the most
commonly used on-demand application oriented routing protocols, AODV (Ad hoc on-demand Distance
Vector) and its optimized versions R-AODV (Reverse AODV) and PHR-AODV (Path hopping based
Reverse AODV) has been presented. Basically the paper evaluates these protocols based on a wide set of
performance metrics by varying both the number of nodes and the nodes maximum speed. A NS-2 based
simulation study shows that, as compared to AODV and PHR-AODV, R-AODV enhances the packet
delivery fraction by 15-20% and reduces the latency approximately by 50%. R-AODV requires lesser node
energy for data transmission.
Mobility and Node Density Based Performance Analysis of AODV Protocol for Adh...IDES Editor
A mobile ad-hoc network (MANET) is a collection of
mobile nodes, which communicate over radio. These networks
have an important advantage; they do not require any
existing infrastructure or central administration. Therefore,
mobile ad-hoc networks are suitable for temporary
communication links. This flexibility, however, comes at a
price: communication is difficult to organize due to frequent
topology changes. In this paper we propose on-demand
routing algorithm for mobile, multi-hop ad-hoc networks. The
algorithm is based on ant algorithms, which are a class of
swarm intelligence. The main goal in the design of the
algorithm is to reduce the overhead for routing. Furthermore,
in this paper the performance of AODV protocol is analyzed
by varying mobility and node density parameters through
simulation of results ns2 simulator.
Comparative Analysis of MANET Routing Protocols and Cluster Head Selection Te...IJERA Editor
Mobile Ad-hoc Network is a kind of wireless network. It is a backbone of new generation advanced communication technology. MANET is an ideal applicant for rescue and emergency situation due to its independence of connected devices of fixed wires. This paper represents a work on trust based system in MANET cluster that can be used to improve the performance of the network even in the existence of not trusted nodes. In the cluster architecture, cluster head and gateway nodes form a communication for routing among neighbouring clusters. But selection of cluster head is the important problem in dynamic Ad-hoc network because cluster head work as coordinator in clustered architecture. In this work, some values have used correspond to the threshold values of forward packet and dropped packet of each node within the network cluster. These values have been used dynamically updated every time and the node is selected as cluster head. In this technique of selecting the node as cluster head, the node which has maximum trusted value is elected as cluster head and this information is updated in every node’s trusted table. After implementation of our desired work, the proposed Dynamic Trust Evaluation of Cluster Head (DTE-CH) technique is analysed with traditional routing protocols and traditional clustering technique viz. Highest Degree Algorithm. The simulation is done by using network simulator software on the basis of different performance metrics throughput, packet delivery ratio, routing overhead, packet drop, average end to end delay and remain energy. Simulation result presents that proposed DTE-CH technique improves the performance of network as compare to most suitable existing AODV MANET protocol based technique as well as traditional highest degree clustering technique.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Review on Detection & Prevention Methods for Black Hole Attack on AODV based ...IJERD Editor
Dynamic nature of Mobile Ad-hoc networks (MANET) challenges the quality of service (QoS)
because route failure probability is increased in MANET due to the mobility of nodes. Lack of fixed
infrastructure, wireless shared medium and dynamic topology makes MANET prone to different types of
attacks. Ad-hoc On-Demand Distance Vector (AODV) routing protocol in MANETs which is vulnerable to a
variety of security threats in ad-hoc networks. Black hole attack is an attack that drop considerable number of
packet by performing packet forwarding misbehaviour and violate the security to cause Denial-of-Service
(DoS) in Mobile Ad-hoc networks (MANET). In this paper we investigate different mechanism to detect and
prevent black hole attack in AODV protocol. We also discuss about advantages and disadvantages of the
methods.
An Effective and Scalable AODV for Wireless Ad hoc Sensor Networksijcnes
Appropriate routing protocol in data transfer is a challenging problem of network in terms of lower end-to-end delay in delivery of data packets with improving packet delivery ratio and lower overhead as well. In this paper we explain an effective and scalable AODV (called as AODV-ES) for Wireless Ad hoc Sensor Networks (WASN) by using third party reply model, n-hop local ring and time-to-live based local recovery. Our goal is to reduce time delay for delivery of the data packets, routing overhead and improve the data packet delivery ratio. The resulting algorithm AODV-ES is then simulated by NS-2 under Linux operating system. The performance of routing protocol is evaluated under various mobility rates and found that the proposed routing protocol is better than AODV.
Performance Comparison of Different Routing Protocols for Wireless Sensor Net...ijtsrd
Wireless sensor network is a wireless network consisting of small nodes with sensing, computation, and wireless communication capabilities. One of the most important issues in Wireless sensor networks WSNs is collecting and processing data perceived from the environment and sending that data to be processed and evaluated. Routing data towards the destination node is a fundamental task in WSNs. The data exchange is supported by multihop communications. Routing protocols are in charge of discovering and maintaining the routes in the networks. In this research work, the performance of the different routing protocols in wireless sensor network based on air pollution area is derived. Sensor nodes are deployed in two types of scenario grid and random. And, simulation result outcomes are evaluated using the different routing protocols like Ad hoc On Demand Distance Vector AODV Destination Sequenced Distance Vector Routing DSDV and Dynamic Source Routing DSR in two scenarios. This system is implemented in Network Simulator NS2 . The main focus of this paper is to evaluate the performance of the different routing protocols in random scenarios. The comparison between three different routing protocols is simulated between 10, 50 and 100 nodes. Khaing Khaing Maw "Performance Comparison of Different Routing Protocols for Wireless Sensor Network in Air Pollution Area" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd26760.pdf Paper URL: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/26760/performance-comparison-of-different-routing-protocols-for-wireless-sensor-network-in-air-pollution-area/khaing-khaing-maw
Prediction Algorithm for Mobile Ad Hoc Network Connection BreaksIJCNCJournal
A Mobile Ad-Hoc Network (MANET) is a decentralized network of mobile node that are connected to an arbitrary topology via wireless connections. The breakdown of the connecting links between adjacent nodes will probably lead to the loss of the transferred data packets. In this research, we proposed an algorithm for link prediction (LP) to enhance the link break provision of the ad hoc on-demand remote protocol (AODV). The proposed algorithm is called the AODV Link Break Prediction (AODVLBP). The AODVLBP prevents link breaks by the use of a predictive measure of the changing signal. The AODVLBP was evaluated using the network simulator version 2.35 (NS2) and compared with the AODV Link prediction (AODVLP) and the AODV routing protocols. The simulation results reveal the effectiveness of AODVLBP in improving network performance in terms of average end-to-end delay, packet delivery ratio, packet overhead ratio, and packet drop-neighbour break.
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AODV Improvement by Modification at Source Node and Securing It from Black Hole Attack.
1. D Roy Choudhury et al Int. Journal of Engineering Research and Applications www.ijera.com
ISSN : 2248-9622, Vol. 4, Issue 8( Version 3), August 2014, pp.190-195
www.ijera.com 190 | P a g e
AODV Improvement by Modification at Source Node and
Securing It from Black Hole Attack.
Debarati Roy Choudhury*, Dr. Leena Ragha**, Mr Nilesh Marathe***
*(Department of Computer Science, Ramrao Adik Institute of Technology, Mumbai University)
** (Department of Information Technology, Ramrao Adik Institute of Technology, Mumbai University)
** *(Department of Information Technology, Ramrao Adik Institute of Technology, Mumbai University)
ABSTRACT
MANETS suffer from constraints in power, storage and computational resources ,as a result, they are more
vulnerable to various communications security related attacks. therefore we attempt to focus on analyzing and
improving the security of routing protocol for MANETS viz. the Ad hoc On Demand Distance Vector
(AODV)routing protocol. We propose modifications to the AODV we propose an algorithm to counter the
Black hole attack on the routing protocols in MANETs. All the routes has unique sequence number and the
malicious node has the highest Destination Sequence number and it is the first RREP to arrive. So the
comparison is made only to the first entry in the table without checking other entries in the table
Keywords - AODV, Black hole, receive reply, sequence number, routing table
I. INTRODUCTION
Routing in ad hoc networks faces a number of
challenges like dynamic topology, node mobility,
lack of infrastructure, low battery life, insecure
medium and limited channel capacity, causing a
significant degradation of routing performance. A
number of surveys cover the security issues and
intrusion detection schemes in MANETs [1]. All
nodes keep updating their routing tables based on
information broadcast by other nodes. Therefore,
routing table overflow attacks are possible that can
disrupt the routing process. Reactive protocols are
more robust against replay attacks because of the
nature of routing messages involved, such as with
AODV [2]. We propose an algorithm to counter
Black hole attack against the AODV routing
protocol. By analysis we observe that by adding timer
component time is saved and if destination sequence
number greater than source ie value greater than
threshold the malicious node is identified at the initial
stage itself and immediately removed so that it
cannot take part in further process.
II. AODV
Routing information is collected only when it is
needed, and route determination depends on sending
route queries throughout the network. The primary
advantage of reactive routing is that the wireless
channel is not subject to the routing overhead data for
routes that may never be used.
While reactive protocols do not have the fixed
overhead required by maintaining continuous routing
tables, they may have considerable route discovery
delay, can also add a significant amount of control
traffic to the network due to query flooding.
2.1 AODV Routing Protocol.
This protocol is composed of two mechanism (1)
Route Discovery and (2) Route Maintenance. AODV
uses Route Re Request (RREQ), Route Reply
(RREP) control messages in Route Discovery phase
and Route Error (RERR) control message in Route
Maintenance phase .The header information of this
control messages can be seen in detail in. In general,
the nodes participating in the communication can be
classified as source node, an intermediate node or a
destination node. With each role, the behavior of a
node actually varies [3]. When a source node wants
to connect to a destination node, first it checks in the
existing route table, as to whether a fresh route to that
destination is available or not. If a fresh enough route
is available, it uses the same. Otherwise the node
initiates a Route Discovery by broadcasting a RREQ
control message to all of its neighbors. This RREQ
message will further be forwarded (again
broadcasted) by the intermediate nodes to their
neighbors [4]. This process will continue until the
destination node or an intermediate node having a
fresh route to the destination. At this stage
eventually, a RREP control message is generated.
Thus, a source node after sending a RREQ waits for
RREPs to be received.
Fig 2.1: Classification of AODV routing protocol
RESEARCH ARTICLE OPEN ACCESS
2. D Roy Choudhury et al Int. Journal of Engineering Research and Applications www.ijera.com
ISSN : 2248-9622, Vol. 4, Issue 8( Version 3), August 2014, pp.190-195
www.ijera.com 191 | P a g e
2.2 Working of AODV The RREQ contains the node’s IP address, current sequence number, broadcast ID and most recent sequence number for the destination known to the source node. The destination node, on receipt of RREQ, ends a route reply (RREP) packet along the reverse path established at intermediate nodes during the route discovery process. In case of a link failure route error (RERR) packet is sent to the source and destination nodes. By the use of sequence numbers, a source node is always able to find new valid routes. AODV defines three types of control messages for route maintenance [5].
2.3. Security Flaws in AODV
AODV is vulnerable to routing attacks by malicious nodes due to possible applications of the paper. Although a conclusion may review the main points of the paper, do not replicate the abstract as the conclusion. A conclusion might elaborate on the importance of the work or suggest applications and extensions generally designed to have features such as authentication, integrity, confidentiality and non- repudiation. AODV can easily be manipulated by a malicious node to disrupt its routing. The following actions can be taken by an inside attacker to disrupt routing in AODV: 1) Modify/forge RREQ or RREP packets. 2) Spoof destination or source IP address to pose as legitimate network node and thus receive or drop data packets. 3) Generate fake RERR packets to increase routing delay and degrade network performance [6]. 4) Cause DoS by sending fake RREPs of highest sequence numbers (like Black hole attack)[7]. 5) Create routing loops and launch sleep deprivation or resource consumption attacks to deplete node batteries. 6) Replay old routing messages or make a tunnel/wormhole. Advantages and disadvantages
The main advantage of this protocol is having routes established on demand and that destination sequence numbers are applied to find the latest route to the destination [8]. The connection setup delay is lower. One disadvantage of this protocol is that intermediate nodes can lead to inconsistent routes if the source sequence number is very old and the intermediate nodes have a higher but not the latest destination sequence number, thereby having stale entries [9]. Also, multiple route Reply packets in response to a single Route Request packet can lead to heavy control overhead and unnecessary bandwidth consumption due to periodic beaconing multiple Route Reply packets in response to a single Route Request packet can lead to heavy control overhead and unnecessary bandwidth consumption due to periodic beaconing
III. BLACK HOLE ATTACK Routing protocols are exposed to a variety of attacks .Black hole attack is one such attack and a kind of Denial Of Service (DoS) in which a malicious node makes use of the vulnerabilities of the route discovery packets of the routing protocol to Advertise itself as having the shortest path to the node whose packets it wants to intercept. This attack aims at modifying the routing protocol so that traffic flows through a specific node controlled by the attacker .During the Route Discovery process, the source node sends RREQ packets to the intermediate nodes to find fresh path to the intended destination. Malicious nodes respond immediately to the source node as these nodes do not refer the routing table [10]. The node S is assumed to be the source node desiring to communicate with node D. Thus, as per the explanation earlier, node S would generate the RREQ control message and broadcast it. The broadcasted RREQ control message is expected to be received by the nodes N1, N2 and N3. Assuming that the node N2 has a route to node D in its route table, the node N2 would generate a RREP control message and update its routing table with the accumulated hop count and the destination sequence number of the destination node. The larger the sequence number, the fresher is the route. Node N2 will now send it to node S (Destination Sequence Number is shown in square bracket in (Figure 2.3.1). Since node N1 and node N3 do not have a route to node D, they would again broadcast the RREQ control message .RREQ control message broadcasted by node N3 is also expected to be received by node M (assumed to be a malicious node). Thus, node M being malicious node, would generate a false RREP control message and send it to node N3 with a very high destination sequence number, that subsequently would be sent to the node S. However, since, the destination sequence number is high, the route from node N3 will be considered to be fresher and hence node S would start sending data packets to node N3.Node N3 would send the same to the malicious node. The RREQ control message from node N1, would eventually reach node D (destination node), which would generate RREP control message and route it back.
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Fig 3: Traversal of Control Messages in AODV However, since the node S has a RREP control message with higher destination sequence number to that route, node S will ignore two genuine RREP control messages. The source node processed the incoming RREPs for consideration is shown .After a source node receives a RREP message, it calls Receive Reply (Packet P) method one of the crucial function of AODV [11]. 3.1. Black hole attack caused by RREQ Fig 3.1: An attacker can send fake RREQ messages to form black hole attack The attacker can generate Black hole attack by faked RREQ message as follows: In RREQ Black hole attack, the attacker. Set the type field to RREQ (1) Set the originator IP address to the originating node's IP address; Set the destination IP address to the destination node's IP address; Set the source IP address (in the IP header) to anon-existent IP address (Black hole); Increase the source sequence number by at least one, or decrease the hop count to 1.The attacker forms a Black hole attack between the source node and the destination node by faked RREQ message. 3.2 Black hole attack caused by RREP
The attacker may generate a RREP message to form Black hole as follows: Set the type field to RREP (2); Set the hop count field to 1;Set the originator IP address as the originating node of the route and the destination IP address as the destination node of the route, Increase the destination sequence number by at least one; Set the source IP address (in the IP header) to a nonexistent IP address (Black hole).The attacker unicasts the faked RREP[12] message to the originating node. When originating node receives the faked RREP message, it will update its route to destination node through the non-existent node. Then RREP Black hole is formed
Fig 3.2: Black Hole is formed by fake RREP
IV. GENERAL PROPOSED ALGORITHM
The solution that we propose here is basically only modifies the working of the source node without altering intermediate and destination nodes by using a method called Prior_Receive Reply. In this method three things are added, a new table RR-Table (Request Reply), a timer WT (Waiting Time) and a variable MN-ID (Malicious Node ID) to the data structures in the default AODV Protocol. 4.1 Algorithm: Prior-Receive Reply Method DSN – Destination Sequence Number, NID – Node ID, MN-ID – Malicious Node ID(M node). Step 1: (Initialization Process) Retrieve the current time and add the current time with waiting time. Step 2: (Storing Process) Store all the Route Replies DSN and NID in RR-Table(R) table. Repeat the above process until the time exceeds. Step 3: (Identify and Remove Malicious Node) Retrieve the first entry from RR-Table, If DSN is much greater than SSN then discard entry from RR- Table and store its NID in MN-ID. Step 4: (Node Selection Process) Sort the contents of RR-Table entries according to the DSN Select the NID having highest DSN among RR-table entries.
Step 5: (Continue default process) Call Receive Reply method of default AODV Protocol. The above algorithm starts from the initialization process, first set the waiting time for the source node to receive the RREQ coming from other nodes and then add the current time with the waiting time. Then in storing process, store all the RREQ Destination Sequence Number (DSN) and its Node Id in RR-Table until the computed time exceeds. Generally the first route reply will be from the malicious node with high destination sequence number, which is stored as the first entry in the RR-Table. Then compare the first destination sequence number with the source node sequence number, if there exists much more
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differences between them, surely that node is the malicious node, immediately remove that entry from the RR-Table. This is how malicious node is identified and removed. Final process is selecting the next node id that has the higher destination sequence number, is obtained by sorting the RR-Table according to the DSEQ-NO column, whose packet is sent to Receive Reply method in order to continue the default operations of AODV protocol. In addition, the proposed solution maintains the identity of the malicious node as MN-Id, so that in future, it can discard any control messages coming from that node. Now since malicious node is identified, the routing table for that node is not maintained. In addition, the control messages from the malicious node, too, are not forwarded in the network. Moreover, in order to maintain freshness the RR-Table is flushed once a route request is chosen from it[13]. Thus, the operation of the proposed protocol is the same as that of the original AODV, once the malicious node has been detected. 4.2 Main benefits of modifying AODV protocol (1) The malicious node is identified at the initial stage itself and immediately removed so that it cannot take part in further process [14]. (2) With no delay the malicious node are easily identified i.e. as we said before all the routes has unique sequence number. Generally the malicious node has the highest Destination Sequence number and it is the first RREP to arrive. So the comparison is made only to the first entry in the table without checking other entries in the table. (3) No modification is made in other default operations of AODV Protocol. (4) Better performance produced in little modification. (5) Less memory overhead occurs because only few new things are added. For every RREP control message received, the source node would first check whether it has an entry for the destination in the route table or not. If it finds one, the source node would check whether the destination sequence number in the incoming control message is higher than one it sent last in the RREQ or not. If the destination sequence number is higher, the source node will update its routing table with the new RREP control message; otherwise the RREP control message will be discarded [15]. In Route Maintenance phase, if a node finds a link break or failure, then it sends RERR message to all the nodes that uses the route.
V. Recv Reply algorithm At Source Node: AODV
Receive Reply (Packet P) { if(P has an entry in Route Table)
{ select Dest_Seq_No from routing table
If (P.Dest_Seq_No>Dest_Seq_No)
{ update entry of P in routing table, unicast data packets to the route specified in RREP } else { discard RREP } } else { if(P.Dest_Seq_No>= Src_Seq_No) { Make entry of P in routing table } else { discard this RREP }
Fig 4.3(a):flow-chart for node receiving RREP
Receive RREP
Is sending node marked as M node in R table?
table?
Mark the nodes from malicious nodes list of RREQ as Malicious Nodes into Routing table
Discard RREP
End
Calculate Peak value
Update routing table and broadcast RREQ
Forward RREP on reverse path
Is RREP seq no<=peak?
Is receiving node the source node?
Start
yes
no
yes
no
yes
no
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Fig 4.3(b): Basic Flow-chart for node broadcasting RREQ
VI. CONCLUSION
As compared to the other approaches, we believe the proposed algorithm is simple and efficient and has very less delay and congestion in implementation .We also emphasize that the proposed algorithm will be implemented and simulated for the AODV routing algorithm .
REFERENCES
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Sciences and Technology (NUST), wireless advanced2011.
[4] K. Lakshmi, S.Manju Priya, A. Jeevarathinam, K. Rama, K. Thilagam, Lecturer, ”Modified AODV Protocol against Blackhole Attacks in MANET“, Coimbatore, International Journal of Engineering and Technology Vol.2 (6), 2010.
[5] Rajesh J. Nagar, KajalS. Patel,“Securing AODV Protocol against Blackhole Attacks” International Journal of Engineering Research and Applications ISSN: 2248-9622 , Vol. 2, Issue 1, pp.1116-1120Jan-Feb 2012.
[6] Jin Taek Kim, Jeong-Ho Kho, Chang-Young Lee, Do-Won Lee, Cheol-Soo Bang, Geuk Lee Dept.of Computer Engineering, Hannam University, “A Safe AODV Security Routing Protocol”, Korea International Conference on Convergence and Hybrid Information Technology 2008.
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[8] Sushil Kumar Chamoli, Santosh Kumar, Deepak Singh Rana, “Performance of AODV against Black Hole Attacks in Mobile ad-hoc Networks”, International .J. Computer Technology & Applications, Vol 3 (4), 1395-1399, july -august 2012.
[9] Dr. S. Tamilarasan, “Securing AODV Routing Protocol from Black Hole Attack”, International Journal of Computer Science and Telecommunications [Volume 3, Issue 7, July 2012]
[10] Abhilasha Sharma, Rajdeep Singh, Ghanshyam Pandey, “Detection and Prevention from Black Hole attack in AODV protocol for MANET”, International Journal of Computer Applications (0975 – 8887) Volume 50 – No.5, July 2012.
[11] Ipsa De, Debdutta Barman Roy, “Comparative study of Attacks on AODV- base Mobile Ad Hoc Networks”, International Journal on Computer Science and Engineering ISSN: 0975-3397 Vol. 3 No. 1 Jan 2011.
[12] Watchara Saetang and Sakuna Charoenpanyasak, “CAODV Free Blackhole Attack in Ad Hoc Networks”, International Conference on Computer Networks and Communication Systemsvol.35 2012.
[13] Abhilasha Sharma, Rajdeep Singh, Ghanshyam Pandey, “Detection and Prevention from Black Hole attack in AODV
End
Update routing table and broadcast RREQ
Receive RREQ
Mark the nodes from malicious nodes list of RREQ as Malicious Nodes into R table
Is M node list in RREQ empty?
Is routing table sequence no>= RREQ seq no?
Discard RREQ and generate RREP
yes
no
Start
yes
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protocol for MANET”, International Journal of Computer Applications (0975 – 8887) Volume 50 – No.5, July 2012.
[14] Ipsa De, Debdutta Barman Roy, “Comparative study of Attacks on AODV- base Mobile Ad Hoc Networks”, International Journal on Computer Science and Engineering ISSN: 0975-3397 Vol. 3 No. 1 Jan 2011.
[15] Watcha Saetang and Sakuna Charoenpanyasak , “CAODV Free Blackhole Attack in Ad Hoc Networks”, International Conference on Computer Networks and Communication Systemsvol.35 2012.