Black Hole Attack Implementation and Detection in Mobile Ad Hoc Networks

Mobile ad-hoc networks are a collection of mobile hosts that communicate with each other without any infrastructure. Security is an essential requirement in mobile ad-hoc networks to provides protected communication between mobile nodes. MANET are vulnerable to various types of attacks. One of main active attacks is black hole attack, it is a denial of service attack and it drops entire incoming packets between one source to destination. In this paper we studied the details about black hole attack, and mechanism for detection of black hole attack in MANET

Detection of Black Hole Attack in MANET: A Review

Mobile ad-hoc networks are a collection of mobile hosts that communicate with each other without any infrastructure. Security is an essential requirement in mobile ad-hoc networks to provides protected communication between mobile nodes. MANET are vulnerable to various types of attacks .One of main active attacks is black hole attack, it is a denial of service attack and it drops entire incoming packets between one source to destination. In this paper we studied the details about black hole attack, and techniques for detection and prevention of black hole attack

IMPROVE THE PERFORMANCE OF AODV UNDER BLACKHOLE ATTACK IN MANET

The Mobile Ad-hoc Network is an infrastructure-less network in which each mobile node can communicate with other node without any fixed network. In view of this, the networks are vulnerable to various kind of attacks such as black hole attack, gray hole attack etc. The black hole attack is one of the cruel attacks in Mobile Ad-hoc NETwork (MANET). The simulation is carried out using MATLAB and analyzes the black hole attack in Ad-hoc On-demand Distance Vector (AODV) routing protocol and compared the performance of packet delivery ratio and delay with existing algorithm Hash_DSR. The result shows that the Hash_AODV is better than the Hash_DSR

IMPACT ANALYSIS OF BLACK HOLE ATTACKS ON MOBILE AD HOC NETWORKS PERFORMANCE

A Mobile Ad hoc Network (MANET) is a collection of mobile stations with wireless interfaces which form a temporary network without using any central administration. MANETs are more vulnerable to attacks because they have some specific characteristics as complexity of wireless communication and lack of infrastructure. Hence security is an important requirement in mobile ad hoc networks. One of the attacks against network integrity in MANETs is the Black Hole Attack. In this type of attack all data packets are absorbed by malicious node, hence data loss occurs. In this paper we investigated the impacts of Black Hole attacks on the network performance. We have simulated black hole attacks using Network Simulator 2 (NS-2) and have measured the packet loss in the network without and with a black hole attacks. Also, we measured the packet loss when the number of black hole attacks increases

DETECTION AND REMOVAL OF BLACK HOLE IN MOBILE AD-HOC NETWORK (MANET)

This paper gives information about the detection technique of black hole in the MANET. An ad hoc network is a collection of mobile nodes that dynamically form a temporary network. It operates without the central administration. Hence it becomes more susptable to the attacker .Mostly used on- demand routing protocols used in Ad-Hoc networks is AODV (Ad-Hoc On demand DistanceVector) protocol. The security of the AODV protocol is compromised by a particular of attack called “Black Hole” attack. In this attack, a malicious node advertises itself as having the shortest path to the node whose packets it wants to intercept. To reduce the probability, it is proposed to wait and check the replies from all the neighboring nodes to find a safe route

Fuzzy Logic based Intrusion Detection System against Black Hole Attack in Mobile Ad Hoc Networks

A Mobile Ad hoc NETwork (MANET) is a group of mobile nodes that rely on wireless network interfaces, without the use of fixed infrastructure or centralized administration. In this respect, these networks are very susceptible to numerous attacks. One of these attacks is the black hole attack and it is considered as one of the most affected kind on MANET. Consequently, the use of an Intrusion Detection System (IDS) has a major importance in the MANET protection. In this paper, a new scheme has been proposed by using an Adaptive Neuro Fuzzy Inference System (ANFIS) and Particle Swarm Optimization (PSO) for mobile ad hoc networks to detect the black hole attack of the current activities. Evaluations using extracted database from a simulated network using the Network Simulator NS2 demonstrate the effectiveness of our approach, in comparison to an optimized IDS based ANFIS-GA

MBDS: MESSAGE AUTHENTICATION CODE (MAC) BASED BLACK HOLE DETECTION SYSTEM INMANET’S

Mobile ad hoc network is a collection of independent mobile nodes that can communicate to each other via radio waves. The mobile nodes can directly communicate to those nodes that are in radio range of each other, whereas others nodes need the help of intermediate nodes to route their packets. These networks are fully distributed, and can work at any place without the aid of any infrastructure. This property makes these networks highly robust.  Security is a major challenge for these networks due to their features of open medium, dynamically changing topologies. The black hole attack is a well known security threat in mobile ad hoc networks. However, it spuriously replies for any route request without having any active route to the specified destination. Sometimes the Black Hole Nodes cooperate with each other with the aim of dropping packets these are known as Cooperative Black Hole attack. This research work suggests the modification of Ad Hoc on Demand Distance Vector Routing Protocol. we are going to use a mechanism for detecting as well as defending against a cooperative black hole attack. This work suggest Maintenance of Routing Information Table and Reliability checking of a node with MAC address and Sequence Number. This system also decreases the end to end delay and Routing overhead

An Effective Black Hole Attack Detection Mechanism using Permutation Based Acknowledgement in MANET

With the evolution of wireless technology and use of mobile devices, Mobile Ad-hoc Network has become popular among researchers to explore. A mobile ad-hoc network (MANET) is a self-configuring network of mobile routers (and associated hosts) connected by wireless links. The routers and hosts are free to move randomly and organize themselves arbitrarily. It allows mobile nodes to communicate directly without any centralized coordinator. Such network scenarios cannot rely on centralized and organized connectivity, and can be conceived as applications of Mobile Ad-Hoc Networks. Thus, MANET is vulnerable due to its dynamic network topology, as any node become untrusted at any time. The Black hole attack is one kind of security risk in which malicious node advertises itself to have a shortest path for any destination, to forge data or for DOS attack. In this paper, to detect such nodes effectively, we propose a Permutation based Acknowledgement for most widely used reactive protocol ad-hoc on demand distance vector routing AODV. This mechanism is enhancement of Adaptive Acknowledgement (AACK) and TWO-ACK, here we have tried to show the efficiency increment by decreasing number of messages routed in the network.Comment: MANET, Black Hole, Permutation, Security, Ad-hoc networ