An efficient collaborative intrusion detection system for MANET using Bayesian Approach

In recent years with the rapid growth of wireless devices, Mobile Ad hoc Networks (MANETs) have become a very important technology. However, MANETs are more vulnerable than wired and wireless networks. Whereas, MANETs are deployed in un-trusted environments, so, security and intrusion detection are very important and one of critical issues in these networks. In this paper, we present a scheme for determining of IDS agent nodes with applying a three-tiered architectural framework. Our scheme selects the nodes of the network which are valid nodes and also have higher battery power. IDS agent nodes because of monitoring activities in Intrusion Detection System (IDS) need to more energy than other nodes in the network. In the first phase, our scheme uses three-tiered key management framework (DDC) in order to authentication. So, authorized nodes contribute in monitoring activities and also communication cost in three-tiered key management framework is less than other frameworks. In the second phase, IDS agent nodes will be selected from among valid nodes which have higher battery power. Therefore, network lifetime will be increased.

Intrusion Detection Systems (IDSs) for Mobile Ad hoc NETworks (MANETs) is becoming an exciting and important technology in very recent years, because the intrusion prevention techniques can not satisfy the security requirements in mission critical systems. The proposed IDS architecture can be divided into two categories by the distributing form of IDS agents: fully distributed IDS and cluster-based IDS. The former has a high detection ratio, but it also consumes a cascade of energy. The latter has considered energy saving, but some hidden troubles of security exist in it. In this paper, we have proposed a novel IDS Agent Distributing (IAD) protocol for distributing IDS agents in MANETs. IAD protocol divides the whole network into several zones, selects a node subset from each zone, and runs IDS agent on the node in this subset. At the same time, IAD protocol can rectify the number of nodes running IDS agent according to the threat level of the network. Compared with the scheme that each node runs its own IDS, our proposed scheme is more energy efficient while maintaining the same level of detection rate. While compared with the cluster-based IDS scheme, our scheme is more flexible when facing the emergent situations. Simulation results show that our scheme can effectively balance the security strength and energy consuming in practice.

Security has become important to mobile ad hoc networks (MANETs) due mainly to their use for many mission and life-critical applications. However, the broadcast nature of inter-node communications and node mobility in MANETs make it very challenging to secure MANETs. Moreover, their constantly changing topology causes network node density and neighbor relationships to change dynamically. This paper presents an intrusion detection system (IDS) for MANETs at the application layer. The IDS utilizes (1) both anomaly and misuse detection schemes to identify attacks in MANETs and (2) mobile agents (MAs) to augment each node's intrusion-detection capability. In particular, each node is equipped with a local IDS, and MAs will be dispatched periodically or on-demand to augment each node's IDS. We present the design of this IDS and the overall network structure, as well as the methods for authenticating and dispatching MAs. We also evaluate the trade-offs between different design parameters of MAs.

Mobile ad hoc networks (MANETs) have gained more interest from consumers and academics than ever before thanks to the proliferation of wireless networks and the expansion of the benefits and uses of communication networks in general. MANETs are useful in a wide variety of settings since they don't rely on a centralised server or other hardware to relay messages or process data packets. It's one of the primary justifications for implementing MANET in many different domains. However, there are also numerous difficulties that have arisen as a result of these networks' rising popularity, with network security being one of the most crucial. There have been challenges with data transmission and reception due to MANETs' weak regulatory and security frameworks; network infiltration has been identified as one of the most pressing concerns. In MANETs, wireless nodes serve as relays and routers, connecting the source and sink nodes. Accordingly, it is now possible for rogue nodes to penetrate networks and destroy data packets. In order to cope with this issue, modern intrusion detection systems (IDSs) are utilised for remote monitoring of the functioning and actions of nodes present in wireless sensor networks. As well as being able to identify hostile nodes in the network, IDSs can often predict how such nodes will act in the future. In this research work, NSL-KDD dataset is used as an input data. SMOTE and Z-score method are used during pre-processing to remove the irrelevant features and normalize the data. The optimal features are carried out by Artificial Butterfly algorithm and then, finally, ensemble classifiers s. Multilayer Perceptron (MLP), Boosted Regression Trees (BRT) and finally, the adaptive voting mechanism is used to select the best classifier. The results proves that the proposed ensemble model achieved 97.16% of accuracy, where the existing models achieved nearly 95% to 96% of accuracy.

Objective: To improve IDS strategy with high detection accuracy and reduce the power consumption of the nodes in MANET. Methods: There are several intrusion detection systems are developed. In order to increase the performance of IDS, Bayesian Correlated Equilibrium based IDS which incorporates two main processes namely, Cluster Head selection and Hybrid IDS for MANET is proposed. The game theory is also used to increase the detection accuracy of IDS. Findings: Mobile Ad-hoc Network (MANET) is an autonomous system that consists of battery powered mobile nodes. MANETs are prone to several attacks as they are continuously self configuring and infrastructure less. As the nodes are mobile, they are susceptible to intrusions. The Intrusion Detection System has issues of heavy traffic related to IDS in the network, which causes congestion. It also leads to high energy consumption among the nodes. So designing an efficient MANET should have certain number of goals such as effective intrusion detection, light traffic and low energy consumption and power loss. Many Intrusion detection schemes were proposed that normally incurs power loss in the node as there is a need for continuous monitoring. Application/Improvements: To increase detection accuracy, decrease power consumption and the IDS traffic Bayesian Correlated Equilibrium based IDS for MANET is presented.

Mobile ad hoc networks (MANETs) can be defined as a collection of large number of mobile nodes. Due to self configuring ability of nodes and infrastructure less nature of network, MANET is preferred in variety of applications such as military, disaster stuck areas, emergency recovery etc. MANET is vulnerable to various attacks due to its open medium and wide distribution of nodes. This itself emphasize the importance of security and need for an efficient system, for example intrusion detection system in MANET. In literature, various intrusion detection systems (IDS) have been proposed for detecting the node that misbehaves in the network. The misbehaviour such as, delay or drop in data packets or acknowledgement packets, drop packets and modify routing information etc. are present. These misbehaviour need to be detected well in advance to keep network secure. In this paper we propose and implement, new IDS named as Secure Acknowledgement (ACK) System. The Secure ACK system is purely an acknowledgement based technique. The type of misbehaviour detected by proposed system is about delay in packet transmission. In this system, for every three consecutive nodes in the route, the third node is required to send back an acknowledgement packet to the first node in the group. Based on the non-receipt of ACK packet within predefine time to the first node in the group, it reports about misbehaviour activity in the network. As soon as the proposed system detects misbehaving node present in the network, it stops the further data transmission. So, the misbehaving node will not be able to damage network thereafter.

Mobile Ad hoc Networks (MANET) comprises of self-organizing autonomous mobile nodes. MANETs are open and decentralized. Therefore they are vulnerable to malicious entities. MANETs are multi-hop wireless network where all nodes supportively maintain network connectivity without a centralized infrastructure. Since MANETs are infrastructure less and independent, the secure communication is the main issue. Therefore they are vulnerable to malicious entities. Here the location identity and traffic can be traced out by an outside observer. Anonymity means secure communications by hiding node identities and preventing traffic analysis attacks by outside observers. This paper proposes Position based Anonymous Routing Scheme in MANETs (PARS).Here the routing is based on Greedy Perimeter Stateless Routing Protocol. The objective is an anonymous routing protocol for the network. The proposed one is a zone based anonymous GPSR based protocol that can provide source, destination and route anonymity. Performance of the proposed system is compared with that of GPSR and AODV using Network Simulator. Index Terms: Anonymous routing, position-based routing, random forwarder, zone partition. I. Introduction Mobile Ad hoc Networks are collection of independent mobile nodes that can communicate by radio waves. It is an infrastructure less self-organizing network. The nodes that are in radio range can communicate by single hop or by multi hop with the help of intermediate nodes. The network is open and decentralized and fully distributed. So they are perfect choice for communication and information sharing. MANETs are susceptible to malicious entities that aim to alter and analyzed the traffic analysis by communication eaves dropping or attacking routing protocols. MANETs are characterized by their distributed operation, multi hop routing, dynamic topology and shared physical medium. Nodes in a MANET are independently free to move in any direction. Due to the lack of a centralized coordinator security is the major concern here. Wireless communication can endure interferences or malicious interceptions; whereas multi-hop communication assumes that each node will perform properly its functions to support network services. Further, self-organization increases the complexity of security management operations as access control, node authentication, secure routing and cryptographic key distribution. There is no fixed infrastructure and the topology is frequently changing due to node mobility or environmental changes. Therefore, it is very hard to maintain a stable and efficient end-to-end route in an ad-hoc network. Each node in MANET is energy constrained. There is verylimited physical security in MANET. The type of attacks can be Active attacks or Passive attacks. The common security issues are Passive attacks which include eaves dropping and information disclosure. Active attacks include Do Sand Data modification. There are other more specific problems with mobile ad hoc network such as vulnerability of channels and nodes, Byzantine black hole and Byzantine wormhole attack. The security issue also includes attacks that may inject erroneous routing information and diverting network traffic thus making routing inefficient. There are many methods to reduce the impact of these attacks, which include a secure routing using public and private key s to get a certification authority and use of digital signatures and prior it rust relationships. Routing is the process of communication from one node to the other host in a network. Routing is the process off or warding packet towards its destination using most efficient path. Routing efficiency is measured in terms of Number of hops, traffic, security, etc. Routing protocols in MANETs are divided as reactive proactive and hybrid. Reactive Protocol maintains the routes in on demand manner. In route discovery phase it floods the route request (RREQ) packets throughout the network. Dynamic source Routing (DSR), ad hoc on- demand distance vector routing (AODV) are some of the examples of reactive protocols. In proactive approach every node in the MANET continuously maintains the complete routing information of the entire network. This is accomplished by flooding network periodically with network status information. Global State Routing (GSR), Hierarchical State Routing (HSR) and Destination Sequenced Distance Vector Routing (DSDV) are some of the examples of proactive

Networks are being used in various areas and the demand of users nowadays has motivated the emergence of the Mobile Ad Hoc Network (MANET). MANET is a dynamic network without fixed infrastructure due to their wireless nature and can be deployed as multi-hop packet networks. It is a wireless network and has dynamic topology due to its node mobility. There are two types of MANET, homogeneous and heterogeneous MANET. An architecture has been designed in previous work to model these two types of MANET. Three scenarios have been defined from this architecture: scenario I (communication entirely within MANET, homogeneous MANET), scenario II (communication between MANET and wireless LAN, heterogeneous MANET) and scenario III (communication between MANET with wireless LAN and wired LAN, heterogeneous MANET). MANET has its own routing protocols which can compromised with frequent route exchange, dynamic topology, bandwidth constraint and multi-hop routing. Ad hoc On Demand Distance Vector (AODV) is one of the routing protocols in MANET. The aim of this research is to assess the effects of different packet size with the implementation of AODV routing protocols in homogeneous and heterogeneous MANET through the simulation method. The three scenarios above have been developed in the OMNeT++ network simulator. The results achieved from the test have been evaluated using the metrics assigned, throughput and packet delivery ratio (PDR). The tests show that the increase of throughput and PDR performance was parallel with the increase of packet size. From the test also, we can conclude that the performance due to the packet size effect in homogeneous MANET is better than in heterogeneous MANET.

<p>Mobile Ad hoc Network (MANET) is a system of wireless mobile nodes that dynamically self-organized in arbitrary and temporary network topologies without communication infrastructure. This network may change quickly and unforeseeable. The unique characteristics of MANET give an adversary the opportunity to launch numerous attacks against ad-hoc networks.So the security is an important role in MANETs. This article aims to present the concept of intrusion detection system (IDs) and surveys some of major intrusion detection approach against neutrosophic intrusion detection system in MANETs. Current IDS’s corresponding to those architectures are also reviewed and compared. This paper introduces the accuracy rate and false alarm rate of four completely different classifiers to observe the percentage and the efficiency of the classifiers in detecting attacks in MANETs. Results show that Neutrosophic intelligent system based on genetic algorithm could facilitate significantly in detecting malicious activities in MANETs. Hence, neutrosophic techniques could be utilized to suit the ambiguity nature of the IDs.</p>

Intrusion detection system (IDS) design for mobile adhoc networks (MANET) is a crucial component for maintaining the integrity of the network. The need for rapid deployment of IDS capability with minimal data availability for training and testing is an important requirement of such systems, especially for MANETs deployed in highly dynamic scenarios, such as battlefields. This work proposes a two-level detection scheme for detecting malicious nodes in MANETs. The first level deploys dedicated sniffers working in promiscuous mode. Each sniffer utilizes a decision-tree-based classifier that generates quantities which we refer to as correctly classified instances (CCIs) every reporting time. In the second level, the CCIs are sent to an algorithmically run supernode that calculates quantities, which we refer to as the accumulated measure of fluctuation (AMoF) of the received CCIs for each node under test (NUT). A key concept that is used in this work is that the variability of the smaller size population which represents the number of malicious nodes in the network is greater than the variance of the larger size population which represents the number of normal nodes in the network. A linear regression process is then performed in parallel with the calculation of the AMoF for fitting purposes and to set a proper threshold based on the slope of the fitted lines. As a result, the malicious nodes are efficiently and effectively separated from the normal nodes. The proposed scheme is tested for various node velocities and power levels and shows promising detection performance even at low-power levels. The results presented also apply to wireless sensor networks (WSN) and represent a novel IDS scheme for such networks.

The primary challenges in mobile ad hoc network (MANET) are presence of obstacles, mobility, energy efficiency and network in dynamic topology environment. Efficient routing with obstacles avoidance in dynamic topology is a critical issue in MANET. Many mobility patterns have been recommended for the movement of nodes in presence of obstacles in MANET terrain. Some obstacles avoiding routing techniques are also proposed by some popular researchers. In this paper, many related articles have been reviewed and briefly discussed. The paper outlines advantages and drawbacks of each approach to get possible research scope in route planning in dynamic MANET topology in presence of obstacles.

Mobile Ad Hoc Networks (MANETs) has become a major next generation wireless networking technology. MANETs are vulnerable to attacks in network layer. MANETs are infrastructure-less network in which the topology is constantly changing which makes it easy for the intruders to attack. Security is always an important issue especially for the case of Mobile Ad Hoc Network (MANET) because the structure of the network makes it an easy target for attackers. The inherently vulnerable characteristics of wireless ad hoc networks make them susceptible to attacks, and it may be too late before any counter action can take effect. It can also be observed that each type of attack affects the network characteristics and behavior differently. So we need to study all the types of attack and then we study the intrusion detection and protection mechanism. Intrusion Detection Systems (IDSs) can monitor audit data, look for intrusions to the system, and initiate a proper response.

This study proposes an approach to deploy a node implementing IDS (Intrusion Detection System) in MANETs for detecting and isolating wormhole nodes, if they exist. This study uses ns2 to evaluate the proposed IDS nodes, and the results show that these IDSs can rapidly and correctly block the wormhole nodes under the circumstances of low false positives.KeywordsMANETs (Mobile ad hoc networks)wormhole attacksIDS (Intrusion Detection System)ns2

A mobile ad-hoc network (MANET) is a temporary network of wireless mobile nodes. In a MANET, it is assumed that all of the nodes cooperate with each other to transfer data packets in a multi-hop fashion. However, some malicious nodes don’t cooperate with other nodes and disturb the network through false routing information. In this paper, we propose a prominent technique, called dual attack detection for black and gray hole attacks (DDBG), for MANETs. The proposed DDBG technique selects the intrusion detection system (IDS) node using the connected dominating set (CDS) technique with two additional features; the energy and its nonexistence in the blacklist are also checked before putting the nodes into the IDS set. The CDS is an effective, distinguished, and localized approach for detecting nearly-connected dominating sets of nodes in a small range in mobile ad hoc networks. The selected IDS nodes broadcast a kind of status packet within a size of the dominating set for retrieving the complete behavioral information from their nodes. Later, IDS nodes use our DDBG technique to analyze the collected behavioral information to detect the malicious nodes and add them to the blacklist if the behavior of the node is suspicious. Our experimental results show that the quality of the service parameters of the proposed technique outperforms the existing routing schemes.

Wireless networking is currently the medium of choice for several applications. Mobile ad hoc networks (MANETs) are networks that combine wireless communication with a high degree of node mobility. Hence they are vulnerable and are subjected to new security risks. Intrusion Detection Systems (IDS) are an important area of research which acts as a second line of defense against unauthorized activities in networks. The effectiveness of IDS is measured by the response it generates specific to the type of intrusion detected. In this paper, we have proposed and simulated an enhanced detection mechanism in a Zone based Intrusion Detection System (ZBIDS). An extensive simulation is carried out to study the performance of ZBIDS under various routing attacks like blackhole, greyhole, wormhole and impersonation. The simulation results are based on the proposed architecture and shows that the enhanced ZBIDS has achieved desirable performance to meet the security requirement of MANETs.