Reliability Integrated Intrusion Detection System for Isolating Black Hole Attack in MANET

The threats and attacks on mobile ad hoc networks (MANETs) are significant, making it difficult for traditional security systems to provide complete protection. Therefore, an efficient hybrid clustering approach must be designed to construct an intrusion detection system (IDS) that is suitable for this network. IDSs are crucial in MANETs due to the presence of black hole threats, which are the most significant vulnerabilities in this network.Our suggestion is to use a hybrid classifier to detect black hole attacks in MANETs. This can be achieved by using the Naïve Bayes algorithm for clustering to select the cluster head, and modify the Genetic Algorithm to identify the node responsible for a black hole attack on the optimal path. Finally, the confidence server instructs the destination node. If permitted, it alerts the collection head; otherwise, it identifies the node as a malicious one in the black hole attack within each cluster. The results of our proposed technique show that it has improved package damage rate, quantity, package distribution ratio, whole network interruption, and standardized directing capacity parameters compared to current black hole detection approaches.
 The simulation was done in KDD cup 99 to carry out black hole attack and trace file obtained is used as dataset for training and testing purpose using visual basic.

A mobile ad-hoc network (MANET) is an example of wireless mobile communication. It is a temporary network set up by the collection of multi-hop and self-configured mobile nodes without any network infrastructure or access points. Due to its unique characteristics such as dynamic topology, infrastructureless, node mobility, self-configured and self-organizing makes it different from other networks but these types of networks are more vulnerable to various security threats. One of the major security attacks is denial of service (DoS) attack. In this paper we study the effects of two types of DoS attacks namely gray hole attack and black hole attack in MANET using reactive routing protocol. Due to gray hole attack and black hole attack in the network there is an impact on the different performance metrics of the network such as throughput, packet delivery ratio and normalized routing load. All simulation is done by network simulator (NS-2).

A MANET (mobile adhoc network) is a group of computing nodes or cell or other devices used for communication which are capable of communication among each other with no support of an infrastructure that is fixed. MANET in fact is selfsufficient group of cellular consumers which talk to each other with the help of cellular nodes, described by certain wireless links. In these applications, in order to offer quality services for MANETs, many routing protocols have been designed. In this paper, a novel method that detects and prevents the supportive black hole attack on MANETs is developed. The proposed method is based on adaptive fuzzy inference system for MANET in order to detect and prevent the cooperative black hole attack. The popular protocol utilized in MANET is on-demand distance vector (AODV) protocol, and is simulated using NS2. The simulated results of the proposed method are compared with that of an adaptive method [17], wherein source node checks all nodes activity by using DAT table that maintains from-node-to-next-node's information and declares black hole node by channel overhearing method. It is observed that the proposed method based on adaptive fuzzy logic system shows better performance as compared to adaptive method in terms of throughput, end-to-end delay and packet delivery ratio.

Secure routing in the field of mobile ad hoc network (MANET) is one of the most flourishing areas of research. Devising a trustworthy security protocol for ad hoc routing is a challenging task due to the unique network characteristics such as lack of central authority, rapid node mobility, frequent topology changes, insecure operational environment, and confined availability of resources. Due to low configuration and quick deployment, MANETs are well-suited for emergency situations like natural disasters or military applications. Therefore, data transfer between two nodes should necessarily involve security. A black-hole attack in the mobile ad-hoc network (MANET) is an offense occurring due to malicious nodes, which attract the data packets by incorrectly publicizing a fresh route to the destination. A clustering direction in AODV routing protocol for the detection and prevention of black-hole attack in MANET has been put forward. Every member of the unit will ping once to the cluster head, to detect the exclusive difference between the number of data packets received and forwarded by the particular node. If the fault is perceived, all the nodes will obscure the contagious nodes from the network. The reading of the system performance has been done in terms of packet delivery ratio (PDR), end to end delay (ETD) throughput and Energy simulation inferences are recorded using ns2 simulator

Self-organising networks, such as mobile ad-hoc networks (MANETs), are growing more and more in importance each day. However, due to their nature and constraints MANETs are vulnerable to a wide array of attacks, such as black hole attacks. Furthermore, there are numerous routing protocols in use in MANETs, and what works for one might not for another.In this paper, we present a review of previous surveys of black hole attack solutions, followed by a collation of recently published papers categorised by original routing protocol and evaluated on a set of common metrics. Finally, we suggest areas for further research.

Mobile ad hoc networks (MANETs) can be operated in the difficult environments or emergency situations. In this type of networks, the nodes work of forwarding packets together. Routing protocols are worked based on multi-hop to discover a path from source to destination node when the direct path between them does not exist. One of the standard MANET protocols is Ad hoc on-demand distance vector protocol (AODV). AODV is attacked by many types of attacks such as black hole attack due its routing mechanism. Black hole provides highest destination sequence number and lowest hop count number to attract sourcenode and drop the packets. Most previous works were used trusted neighbor nodes for preventing black hole attack and making AODV more secure. However, these solutions suffer from high routing overhead and missing specific mechanism for providing a shortest secure path. In this paper, we propose an intelligent preventing technique for AODV to prevent black hole attacks, which is called Shortest Secure Path for AODV (SSP-AODV). This intelligent technique is integrated A* and Floyd-Warshall’s algorithms. The simulation is conducted in Network Simulator 2. The results indicate that the proposed intelligent technique outperform standard AODV in two terms; packet loss delivery and average End-to-End delay. The performance of proposed technique can significantly reduce the effect of black hole attacks.

A Review on Cooperative Bait Based Intrusion Detection in MANET

A black-hole attack in the Mobile Ad-hoc NETwork (MANET) is an attack occurs due to malicious nodes, which attracts the data packets by falsely advertising a fresh route to the destination. In this paper, we present a clustering approach in Ad-hoc On-demand Distance Vector (AODV) routing protocol for the detection and prevention of black-hole attack in MANETs. In this approach every member of the cluster will ping once to the cluster head, to detect the peculiar difference between the number of data packets received and forwarded by the node. If anomalousness is perceived, all the nodes will obscure the malicious nodes from the network.

As the technology gets advanced so as the security issues come into the picture. Here we will discuss about one such advancement in the modern world for communication purpose which is ruled by wireless networking. Precisely MANET (Mobile Adhoc Network) plays a huge role in transmission of data without any wired structure. Its distinct nature of maintaining the nodes and links to transmit the data at faster rate has proven its importance in communication media. The major issue with mobile adhoc network is security, there are two major such type of security issues which affects the MANET while transmitting data are Black hole and Gray hole attacks. This paper proposes Bulwark-AODV which prevents single or cooperative Black hole attacks by identifying malicious route replies at source and intermediate nodes and finds a shortest valid path. It also works in case of single adjacent node to the source and when there are multiple Black holes in the network. It detects Gray holes by snooping the ACKs of data packets. Forgery of ACK if any is identified by the source through checking the return time of ACK. Simulation results indicates better performance even though special cases are considered.

Utilization of mobile devices are burgeoning rapidly and consequently mobile ad-hoc networks (MANETs). The self configuring and infrastructure less property of MANETs makes them easily deployable anywhere and extremely dynamic in nature. Lack of centralized administration and coordinator are the reasons for MANET to be vulnerable to active attack like black hole. Black hole attack is ubiquitous in mobile ad hoc as well as wireless sensor networks. Black hole affected node, without knowing actual route to destination, spuriously replies to have shortest route to destination and entice the traffic towards itself to drop it. Network containing such node may not work according to the protocol being used for routing. Commonly used protocols like ADOV, DSR, and so forth in MANET are not designed to tackle black hole attack or black hole affected routes. Hence this paper proposes an AODV-based secure routing mechanism to detect and eliminate black hole attack and affected routes in the early phase of route discovery. A validity value is attached with RREP which ensures that there is no attack along the path. The proposed method is simulated in NS2 and performance analysis is carried out.

Due to recent advances in wireless communication technologies, mobile ad hoc networks (MANETs) have become the networks of choice for use in various applications. Unfortunately, this advantage comes with serious security concerns, particularly from a wireless channel prospective, where MANETs may be vulnerable to collaborative wormhole attacks, in particular, packet dropping and message tampering attacks. Recently, two secured routing protocols against these types of attacks (the so-called Highly Secured Approach Method or HSAM and the so-called Securing AODV against Wormhole Attacks in emergency MANET Multimedia Communications or AODV-WADR-AES) were proposed. These schemes are investigated in-depth to identify their weaknesses and a novel secured routing scheme (so-called Timed and Secure Monitoring Implementation against Wormhole Attacks in MANETs or TSMI) is proposed, with the goal to mitigate collaborative wormhole attacks in MANETs while maintaining the performance levels of both the HSAM and AODVWADR- AES schemes. Simulation results are presented to validate the stated goal using various performance metrics.

The mobile ad-hoc networks (MANET) are an emerging research area with applications. It has features like working as a router, dynamic topology and autonomous. In MANET, nodes have limited resources like battery power, storage space and bandwidth. There is a need to do more research for Denial of Service (DoS) attacks in MANET as compared to wire line DoS attacks. MANET is vulnerable to different types of DoS attack in which packets are drop. Black hole attack, packet drop attack and gray hole attack are an event that eliminates a network's capacity to perform its expected function. These attacks are type of DoS attack which we examine in this paper. This paper shows the effects of black hole attack, packet drop attack and gray hole attack on AODV protocol under different performance metrics throughput, packet drop rate and end-to-end delay. The simulation is done in Network Simulator (NS) 2.

We present a simulation-based study of the impacts of different types of attacks in mobile ad hoc networks (MANETs). We consider three common types of attacks: blackhole attack, jellyfish attack and neighbor attack. Specifically, we study how the number of attackers and their positions affect the performance metrics of a connection such as packet delivery ratio, throughput, end-to-end delay, and delay jitter. The results enable us to suggest measures to minimize the impacts of the above types of attacks in MANETs.

Mobile ad hoc network (MANET) is dynamic in nature and vulnerable for several attacks to be arising in it. Mobile nodes frequently disconnect and join the network; they can arbitrarily moves from one place to another. In present-day wireless communication scenario, Mobile ad hoc network (MANET) plays a very important role, as it consists of many autonomous nodes which communicate together to form a proper communication network. Each node in a network will move in random path, so that nodes direction will change frequently. This paper describes the features, application, flooding attack and black hole attack in the MANET implemented on AODV protocol. The simulation work is carried out in Network Simulator (NS2.34). The performance analysis is done Nodes with 20 to 60 nodes were used in the AODV routing protocol simulation to produce energy-efficient outcomes, with the flooding attacks and the interruption of blackhole attacks. The average delay, routing overhead, packet drop rate and packet delivery rate are calculated. By the simulation it has been evaluated that in flooding attack the routing overhead is more as compared to the black hole attack. A comparative study is also done on these parameters for all three scenarios. Also we simulated the attack in various wireless ad-hoc network scenarios and have tried to find a response system in simulations.

Mobile adhoc networks is a perpetual and autogenous organization without framework, and the mobile nodes are coupled cordlessly. Owing to the deficiency of framework assistance, reliable data distribution is a demanding process in mobile adhoc networks and this mobile adhoc network is unguarded to many categories of attacks. A black hole attack in Mobile Adhoc networks cites to an attack by the malevolent node which strongly get hold of the path from sender to the receiver, by means of perversion of subsequence word. With regard to diminish the menace from the malevolent node, the authors encompass the notion of trust in mobile adhoc networks. In this paper, we cope with a packet dropping misconduct named Black hole Attack and we propounded  a new hybrid trust based secured algorithm hinged on four new parameters to scrutinize, whether the transitional nodes are transmitting the packets correctly to the adjacent nodes. This paper presents a new hybrid trust based concept to pinpoint the malevolent node hinged on the computation of trust value. Using ns2 simulator, we analyse the performance of our proposed method and proved the detection efficiency. The investigated results shows that our proposed work can precisely diagnose the malevolent nodes and assure a good packet delivery ratio and network throughput.