scholarly journals A counter measure to Black hole attack on AODVbased Mobile Ad-Hoc Networks

Author(s):  
Subash Chandra Mandhata ◽  
S .N. Patro

Security is a major threat and essential requirement for mobile Ad Hoc network. Due to its inherent characteristics, it has many consequent challenges, which needs to be taken care of. In this paper we analyse the black hole attack in MANET using AODV as its routing protocol. Black hole is a type of routing attack where a malicious node impersonates a destination node by sending deceived route reply packet to a source node that initiates a route discovery process. By doing this, the malicious node can deprive the traffic from the source node. We propose a solution that makes a modification in existing AODV routing protocol

Author(s):  
Ms Khushbu ◽  
R. K. Bathla

Mobile ad hoc network (MANET) is a self-configuring network that is formed via wireless links by a collection of mobile nodes without the help of a fixed infrastructure or centralized management. Each mobile node can move freely in any direction, and changes their links to other devices frequently. Security is an essential part of ad hoc networks. Due to its dynamic topology, resource constraints, no centralized infrastructure and limited security, it is vulnerable to various attacks and black hole attack is one of them. In a black hole attack, a malicious node impersonates a destination node by sending a spoofed route reply packet to a source node that initiates a route discovery. By doing this, the malicious node can deprive the traffic from the source node. In order to prevent this kind of attack, it is crucial to detect the abnormality occurs during the attack. In conventional schemes, anomaly detection is achieved by defining the normal state from static training data. However, in mobile ad hoc networks where the network topology dynamically changes, such static training method could not be used efficiently.


2018 ◽  
Vol 7 (1.9) ◽  
pp. 6 ◽  
Author(s):  
Pandi Selvam Raman ◽  
Shankar K ◽  
Ilayaraja M

Mobile ad hoc networks (MANETs) are wireless infrastructure-less network consisting collection of autonomous nodes that communicate with each other in decentralized manner. Security remains major challenge due to its some unique characteristics like open medium, mobility and hence topology changes. Therefore, routing protocol for MANETs is much vulnerable to attacks. Black Hole is a type of attack, where malicious node falsely advertises itself having the shortest or optimal path to the destination node. This attack is more dangerous while a group of nodes are cooperating with each other.The objective of this paper is to design cluster based routing protocol and prevent it from the black hole attack. The simulation results show improvement in packet delivery ratio and control overhead.


Author(s):  
Ali Ayid Ahmad ◽  
Ahmed Chalak Shakir

Mobile Ad Hoc Network is an infrastructure less wireless network where the mobile nodes leaves and joins the mobile network very frequently. The routing of the packets from source node to destination node, the routing protocol is used. On Demand Distance Vector Routing protocol is very common and implemented with Mobile Ad Hoc Network nodes to handle the operations of packet routing from by any node as a source node to destination node. In this paper prevention of black hole attack by modifying the On Demand Distance Vector routing protocol. The sequence number of 32 bit is initiated with the Route Reply and route sequence packet broadcast to determine the request reply from black hole node under the Mobile Ad Hoc Network. The sequence number and On demand Distance Vector Routing protocol are integrated with a mechanism to find the Request Reply of message containing routing information from source to destination node in Mobile Ad Hoc Network.


Author(s):  
P. Subathra ◽  
S. Sivagurunathan

A Mobile Ad hoc Network (MANET) is a collection of wireless nodes communicating over multi-hop paths without any infrastructure. Nodes must cooperate to provide necessary network functionalities. The security in routing protocols like Dynamic Source Routing (DSR) can be compromised by a “Black Hole” attack. Here, a malicious node claims to have the shortest path to the destination and attracts all traffic and drops them, leading to performance degradation. The situation becomes worse when two or more nodes cooperate and perform the “Cooperative black hole” attack. This chapter proposes a solution based on probing to identify and prevent such attacks. The proposed solution discovers a secure route between the source and destination by identifying and isolating the attacking nodes. Simulation results show that the protocol provides better security and performance in terms of detection time, packet delivery ratio, and false negative probability in comparison with trust and probe based schemes.


2019 ◽  
Author(s):  
Rohi Tariq ◽  
Sheeraz Ahmed ◽  
Raees Shah Sani ◽  
Zeeshan Najam ◽  
Shahryar Shafique

Mobile Ad hoc network is the collection of nodes without having any physical structure involved i.e. access points, routers etc. MANETs are wide-open to similar forms of threats as other wireless mobile communication systems. In Ad-hoc Network nodes performing both as end-points of the communication and routers which makes the Ad-hoc routing protocols further prone towards the security attacks. Black Hole attack is a common security issue encountered in MANET routing protocols. The Black-Hole attack is security attack in which a malicious node imposters themselves as a node with the shortest hop count to the destination node during a packet transmission. A malicious node is capable of disturbing the network with Black Hole attack pretends to have the minimum hop-count route to the destination node (DS). This node responds to all route requests (RREQ) messages in positive and thus catches all the transmission to it. The source node (SN) not knowing the malicious nature of the Black-Hole node thus transmits all the important data. The Black Hole node discards all the important data packets. In this paper a comparatively effective, efficient and easy implemented way for identifying and therefore eluding the attacks of Black-Hole in mobile Ad-hoc networks is presented. The Network Simulator (NS-2) has been used for the implementation of our proposed solution to assess its work in terms of Network Routing load, End-to-End delay and Packet delivery ratio. The results show a considerable improvement in the performance metrics.


2013 ◽  
Vol 11 (9) ◽  
pp. 2994-3003
Author(s):  
Reeta Mishra

Now a day, security in Mobile Ad hoc Network is very important issue. Due to dynamic topology and mobility of nodes, Mobile Ad hoc Networks are more vulnerable to security attacks than conventional wired and wireless network. Nodes of Mobile Ad hoc Network communicate directly without any central base station. That means in ad hoc network, infrastructure is not required for establishing communication. Therefore attacks in this are very frequent than other networks. In this research paper we are describing black hole attacks which are easy to launch in wireless ad hoc network. Black hole attack is referred to as a node dropping all packets and sending forged routing packets to route packets over itself. Ad hoc networks are vulnerable to different kinds of attacks such as: denial of services, impersonation, and eavesdropping.This paper discusses one of the security problems in ad hoc networks called the black hole problem. It occurs when a malicious node referred as black hole joins the network. The black hole conducts its malicious behaviour during the process of route discovery. For any received REQ, the black hole claims having a route and propagates a faked REP. The source node responds to these faked REPs and sends its data through the received routes. Once the data is received by the black hole, it is dropped instead of being sent to the desired destination.The proposed protocol is built on top of the original AODV. It extends the AODV to include the following functionalities: source node waits for a reliable route; each node has a table in which it adds the addresses of the reliable nodes; REP is overloaded with an extra field to indicate the reliability of the replying node. 


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