Presence Of Black Hole Attack Research Articles

Evaluation of Traffic Models under Multiple Black hole Attack in Wireless Mesh Network

Wireless networks are the networks in which data communication is done through the wireless channels and wireless nodes. In such type of the networks, cooperation of the all nodes is required. Due to which, chances of security attacks is possible and network performance and security is badly affected. Black hole attack is a security attack comes under the active, internal as well as external attacks. In black hole attack, malicious node presents a suitable, shortest and low cost path. If the above path is selected for data transmission, malicious node drops the received packets and as a result performance of the network is degraded. In this paper, impact of Random Direction (RD) and Reference Point Group Mobility (RPGM) models have been analyzed for wireless mesh network in the presence of multiple black hole attacks. By varying the number of network connections and node density, (Ad hoc on demand distance vector) AODV routing protocol is evaluated. Normalized routing load, average end to end delay, average throughput, and total number of packets received are considered as performance metrics. Bonn-motion tool has been used to create the scenario of mobility models. In the presence of black hole attack, and under RPGM mobility model, AODV routing protocol presents better results in respect of average throughput, normalized routing load. Simulation work has been carried out on network simulator version NS-2.35.

IMPACT OF BLACK HOLE ATTACK ON THE PERFORMANCE OF DYNAMIC SOURCE ROUTING AND OPTIMIZED LINK STATE ROUTING PROTOCOLS IN MANETS

Mobile Ad-Hoc Networks (MANETs) are a collection of mobile nodes which are free to move from one place to another place without a central control entity. In MANETs the nodes are dependent on each other and the communication among mobile nodes is multi-hop due to which there are security issues in the MANETs protocols. Optimized Link State Routing (OLSR) and Dynamic Source Routing (DSR) protocols are mostly used as proactive and reactive routing protocols in MANETs. This research work analyzed the performance of the OLSR and DSR protocols in the presence and absence of black hole (BH) attack in terms of throughput, end-to-end delay, packet delivery ratio (PDR), and network load in various scenarios using OPNET Modeler 14.5 simulator. The results obtained in this research show that BH attack significantly degrades the performance of both DSR and OLSR protocols but due to the reactive nature of DSR routing protocol the performance is more degraded in DSR routing protocol as compared to OLSR routing protocol in the presence of BH attack.

Studies on the Behavior of the Wireless Sensor Networks with the Presence of Black Hole Attacks on the Nodes Using NS2 Simulator

Studies on the Behavior of the Wireless Sensor Networks with the Presence of Black Hole Attacks on the Nodes Using NS2 Simulator

Mobile Ad Hoc Networks in Presence of Black Hole Attack

This paper analyses three performance metrics namely average throughput, average network load and average video conferencing packet end-to-end delays under the influence of black hole attack in a Mobile Ad Hoc Network, using the ad hoc on-demand distance vector routing protocol. The simulation was carried out on Riverbed Modeler Academic Edition software. Simulation results show that the average throughput, average network load and average video conferencing packet end-to-end delay decreases as the number of black hole attack nodes is increased. Also, the effects of the influence of black hole attack nodes tend to decrease due to mobility of the nodes. It was observed that when the destination nodes move closer to the source nodes and get in to the latter’s transmission range, the effects of the black hole attack is greatly minimized.

Effect of Black Hole Attacks on Wireless Sensor Networks

Wireless sensor networks (WSNs) establish a new popular of ambient supervision with many latent packages. The environment of wireless sensor networks prone to different forms of attacks as networks are prepared in open and unsecured surroundings. This paper analyses the overall performance of AODV whilst attacked by black hole, through varying the mobility of the nodes within the community. The overall performance metrics which can be used to do the analysis are LPR, packet delivery ratio & Packet loss. The simulation consequences display that the overall performance of each AODV degrades in the presence of black hole attack.

Manet Reactive Routing Protocols Node Mobility Variation Effect in Analysing the Impact of Black Hole Attack

MANETs are exposed to numerous security threats due to their characteristic features, which include absence of centralised control unit, open communication media, infrastructure-less and dynamic topology. One of commonest attack is known as black hole attack, which mostly targets the MANETs reactive routing protocols, such as AODV and DSR. Simulation scenarios of AODV and DSR based MANET were conducted using Network Simulator 2 (NS-2) and NS-3, while introducing the black hole attack in each of the scenarios, to analyse the protocols’ performances. The different scenarios are generated by changing the mobility (locations) of the nodes. The performance metrics that are used to do the analysis are throughput, end-to-end delay and packet delivery ratio. The simulation results showed that the performance of both AODV and DSR degrades in the presence of black hole attack. Throughput and packet delivery ratio decrease when the network is attacked by black hole, because the malicious node absorbs or discards some of the packets. End-to-end delay is also reduced in the presence of a black hole attack because a malicious node pretends to have a valid route to a destination without checking the routing table, and therefore shortens the route discovery process. The results also showed that throughput decreases slightly when mobility of the nodes is increased in the network. The increase in the speed of the nodes decreases both packet delivery ratio and end-to-end delay. The closer the black hole node was to the source node requesting the transmission, the worse the impact. A focused analysis on AODV indicates that, even with the introduction of relatively few black hole nodes to the network, there still exist a potential to bring significant disruptions to communication.

Performance Analysis of AODV and DSDV Routing Protocol in MANET and Modifications in AODV against Black Hole Attack

MANET stands for Mobile ad hoc network and is an infrastructure-less network and it is having ability to configure itself. The topology of network changes dynamically. It consists of wireless mobile nodes which communicate with each other without any centralized administration. In MANET different types of routing protocols are introduced. These protocols can be categorized into reactive, proactive and hybrid routing protocols. In this paper, AODV and DSDV protocols are analyzed in terms of routing overhead, packet delivery ratio, throughput and end to end delay. The performance of AODV is better than DSDV in terms of throughput, packet delivery ratio and routing overhead. As the DSDV is a proactive routing protocol, it is having a less end to end delay as compare to AODV. The performance of AODV gets affected by black hole attack. This paper gives the modification in AODV which helps to improve the performance of AODV in presence of black hole attack.

Secure route discovery in AODV in presence of blackhole attack

In recent years, there has been tremendous increase in mobile adhoc networks applications ranging from military and rescue operations to collaborative and distributed computing, therefore secure data transmission has become one of the critical issue in MANET. A mobile adhoc network is genrally established without relying on centralized and dedicated servers. Attackers exploit the loopholes of route discovery process to carry out their malicious intent as it is an inevitable process in reactive protocols. Blackhole is one such popular attack that sends forged routing information to fool source node and drops all the data packets after introducing itself in the route between source node to destination. In this paper, damage caused to AODV in presence of blackhole node has been evaluated and solution to defend against blackhole attack has been proposed and simulated on Ns-2 to prove its efficiency and reliability. The packet processing technique of normal AODV is enhanced to detect routing misbehavior and alert other nodes using default AODV control message, HELLO messages to reduce additional overhead.

A NEW IDS SCHEME AGAINST BLACKHOLE ATTACK TO ENHANCE SECURITY IN WIRELESS NETWORK

The aim of this paper is to protect the wireless network against the blackhole attack. Blackhole attack, as the name suggest, drops all the packets forwarded to it. In this paper, we have proposed an intrusion detection system (IDS) scheme to detect the malicious node (blackhole node) and to nullify its effect in the network. The proposed IDS scheme in the presence of blackhole attack gives approximately similar result as that of in the absence of attack. The network comprises for the three modules (i) Default AODV, (ii) AODV in the presence of blackhole attack and (iii) IDS scheme in the presence of attack by considering some parameters such as end to end delay, throughput, packet delivery ratio, normalized routing load etc. The proposed algorithm has been simulated on Network Simulator version-2 (NS-2).

Intrusion detection technique for black hole attack in mobile ad hoc networks

A black hole attack is particularly harmful against routing in mobile ad hoc networks where a malicious node tries to capture the path toward itself by falsely claiming a fresh and shortest route to the destination, and then drops all the receiving data packets instead of forwarding them to the destination node. This paper presents an intrusion detection technique for detecting and isolating the black hole attack from AODV-based MANETs by employing the detection mechanism at the source node. The detection mechanism uses the destination sequence number, hop count, and average of packet processing delay and queueing delay time of routing packets in order to detect the black hole attack. The main strength of the proposed detection mechanism is to preserve the network resources by eliminating additional control traffic overhead. The simulation results demonstrate the effectiveness of the proposed mechanism in the presence of black hole attacks.

Using Apriori algorithm to prevent black hole attack in mobile Ad hoc networks

Article history: Received July 2, 2012 Received in revised format 28 October 2012 Accepted 11 November 2012 Available online November 14 2012 A mobile ad hoc network (MANET) is considered as an autonomous network, which consists of mobile nodes, which communicate with each other over wireless links. When there is no fixed infrastructure, nodes have to cooperate in order to incorporate the necessary network functionality. Ad hoc on Demand Distance Vector (AODV) protocol is one of the primary principal routing protocols implemented in Ad hoc networks. The security of the AODV protocol is threaded by a specific kind of attack called ‘Black Hole’ attack. This paper presents a technique to prevent the Black hole attack by implementing negotiation with neighbors who claim to maintain a route to destination. Negotiation process is strengthen by apriori method to judge about suspicious node. Apriori algorithm is an effective association rule mining method with relatively low complexity, which is proper for MANETs. To achieve more improvement, fuzzy version of ADOV is used. The simulation results indicate that the proposed protocol provides more securable routing and also more efficiency in terms of packet delivery, overhead and detection rate than the conventional AODV and fuzzy AODV in the presence of Black hole attacks. © 2013 Growing Science Ltd. All rights reserved.

A Simulated Novel Approach for Identifying Black Hole Attack in AODV based MANET

Security is an essential requirement in mobile ad hoc networks to provide protected communication between mobile nodes. Due to unique characteristics of MANETS, it creates a number of consequential challenges to its security design. To overcome the challenges, there is a need to build a powerful, multifeatured security solution that achieves both broad protection and desirable network performance. MANETs are vulnerable to various attacks, blackhole, is one of the possible attacks. Black hole is a type of routing attack where a malicious node advertise itself as having the shortest path to all nodes in the environment by sending fake route reply. By doing this, the malicious node can deprive the traffic from the source node and can be implemented as a denial-of-service attack where the packets can be dropped later on. In this paper, a solution is proposed to identify the malicious node and implanting security against the threats of blackhole by notifying other nodes in the network of the incident. The simulation of the proposed algorithm demonstrates that the solution prevents the nodes in the network from blackhole attack and also improves the overall performance of AODV in the presence of black hole attack.