Attacks In Mobile Ad Hoc Networks Research Articles

Reliable and Hybridized Trust Based Algorithm to Thwart Blackhole Attacks in MANETs using Network Preponderant Determinants

<p>This 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.</p>

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

Mobile ad hoc network (MANET) is a temporary network which can be utilized for emergency applications. It is easy to deploy the attackers in the network. The network performance may get degraded due to the presence of attackers. Black hole attack is the major attack which will totally violate the network rules and degrade the routing process. In this research, the Reliability Integrated Intrusion Detection System (RIIDS) is used for isolating the black hole attacks. It contains three phases. In first phase, the node forwarding ration is estimated to provide node reliability. In second phase, route reliability metric is evaluated to obtain the effective routes which can withstand the attackers. In third phase, objective function with effective routing strategy is adopted to detect attackers and isolate them by discovering alternate routes. The simulation results are analyzed using AODV protocol in terms of various performance metrics i.e. attacker detection ratio, queuing delay, packet delivery ratio and confidentiality.

Black Hole Attack Prevention in Mobile Ad-hoc Network (MANET) using Ant Colony Optimization Technique

The Mobile ad-hoc networks are auto configured systems where hubs can travel towards any direction. It doesn’t rely on any other frame to build the framework. Because of its versatility, the black hole is a real security issue to be settled. It occurs once a malignant hub referred to as black hole goes into the framework. Black hole center point exhibits its fake lead among the methodology after all disclosure. Currently, varied strategies are made arrangements for Mobile ad-hoc networks. Regardless, at interims seeing Black hole or fake hubs, the entire Mobile ad-hoc frameworks are exposed to various sorts of assaults or network attacks. Among these issues, a black hole center points plugs itself of getting a most nearest targeted hub, whose data packet must be constrained to drop. In this flooding procedures, if the communication from the genuine hub accomplishes later than the fake hub reply as requested by the standard hub. A false communication path is framed through a fake center hub. A perfect method is one in which the package reach to target with less delay and lesser overhead. In this paper we'll talk about the implementation of Ant Colony Optimization Technique and Repetitive Route Configuration with Reactive Routing Protocol for obstruction of black hole Attack in Mobile ad-hoc networks.

Mitigation of DDoS Attack in MANET

This paper discusses an improved mechanism to mitigate the DDoS attack in Mobile Ad-hoc Network (MANET) without compromising the packet delivery ratio. MANET inherently has geographically sparse mobile nodes more vulnerable to various attackers more radically the DDoS type. Moreover it emanates open medium, absence of centralized authority, lack of clear line of defense that leads to more vulnerability towards secure environment. Since there are no hindrances for non-legitimate nodes, which allows them to freely enter and exit from the network at anytime, various active attacks like black hole, gray hole, DDoS found to jeopardize the network. The DDoS attack discussed predominantly in to present paper, penetrates the network thereby constraining the resources like memory, battery and bandwidth by frequently transmitting fake packets after regular time span thereby starving the computing resources. This paper demonstrates the feasibility of defense mechanism to the DDOS attack in MANET.

Deployment and Selection of Monitoring Nodes for Detection of Selfish Attacks in MANET

Since Mobile Ad hoc Network (MANET) has distributed network structure using wireless links, designing efficient security applications has become a critical need. Selfish nodes are nodes that refuse to forward the data from other nodes. The existence of selfish nodes will disturb the normal process of the network, and reduce the network performance. Intrusion Detection System (IDS) is a scheme for detecting any misbehaviors in the network operation by monitoring the traffic flow. Each monitoring node need to execute the IDS module. The common problems encountered by the monitoring nodes are energy depletion, link disconnection, mobility and coverage. Hence the selection of monitoring nodes plays an important role in IDS. This paper develops a technique for deployment and selection of monitoring nodes for detection of selfish attacks. In this technique, the whole network is virtually divided in smaller grid like zones. In each grid, the nodes with higher stability and better coverage are assigned a reward value. A cost metric is derived in terms of energy consumption and computational delay. Then the nodes with minimum cost and high reward are selected as monitoring nodes. By simulation results, it is shown that the proposed technique has reduced detection delay, energy consumption and detection overhead.

Secure Hybrid Routing To Thwart Sequential Attacks in Mobile Ad-Hoc Networks

Secure Hybrid Routing To Thwart Sequential Attacks in Mobile Ad-Hoc Networks

MANET Security Appraisal: Challenges, Essentials, Attacks, Countermeasures & Future Directions

Currently, Mobile Ad hoc Networks (MANETs) have evolved as one of the essential next-generation wireless network technologies. MANET comprises of mobile nodes that are self-configurable, and every mobile node behaves as a router for every other node allowing data to move by making use of multi-hop network routes. MANETs signify a networking class that is crucial and differs from conventional systems. Although MANETs are being popularly employed in commercial as well as academic fields, these were primarily designed for deployment in areas like military battlefields, emergency rescue and search operations, and other challenging or hostile environments. The distributed and wireless nature of MANETs paves the way for intruders to reduce MANET functionalities. MANET are susceptible to various attack at different layers since the majority of MANET routing protocols are designed with the assumption that no malicious intruder is present in the network. Therefore, recognizing those threats and finding solutions for their mitigation become essential. This study analyses various security attributes, challenges, attacks on multiple layers and countermeasures for thwarting attacks in MANETs.

Node Disjoint Multiple Paths Routing Technique for Secure, Reliable and Confidential Data Transmission against Black Hole Attacks in MANET

The Ad-hoc On-Demand Multipath Distance Vector (AOMDV) is an extension of AODV protocol in the mobile ad-hoc network (MANET). It utilizes the features of DSDV, DSR, and AODV Routing protocols for Secure, Reliable and confidential data transmission against the attacks in the MANET, but in black hole attack malicious nodes utilize the behavior of AODV and show its malicious behavior at the data transmission, it causes the loss of data packets. So to avoid this loss more researchers have been conducted several techniques for detection and put several efforts to prevent the Blackhole attacks. But still, it is not prevented completely, so this paper proposes a Node Disjoint Multiple paths routing algorithm technique on AOMDV against blackhole attacks in MANET and shows its better performance in Network Simulator (NS2).

ANALYSIS OF BLACK HOLE ATTACK DURING ROUTE DISCOVERY PHASE OF AODV IN MANET

MANET (Mobile ad hoc networks) is a collection of wireless mobile nodes dynamically forming an infrastructure less network. Several routing protocols are designed for routing of packets in MANET. One of them is AODV (Ad hoc on demand Distance Vector) protocol whose performance is better for higher mobile nodes. It is more vulnerable to black hole attack by the malicious node. Black hole attack is a network layer attack in MANET that tries to hamper the routing process. During route discovery phase it sends false reply to the nodes and dropped data packets. In this paper, first we have implemented black hole attack in AODV and then analyzed the impact of black hole attack under deferent metrics like throughput, packet delivery ratio and packet loss. Simulator NS-2.35 is used for implementation and result analysis.

Detection and prevention of spoofing attacks in mobile adhoc networks using hybrid optimization algorithm

Detection and prevention of spoofing attacks in mobile adhoc networks using hybrid optimization algorithm

Human immune-based model for intrusion detection in mobile ad hoc networks

Mobile ad hoc network (MANET) is a collection of mobile, decentralized and self-organizing nodes that are used in special cases such as medical and military purposes. Securing mobile ad hoc network MANET is a crucial research issue. The properties of MANET impede the protection of the network’s environment against attacks. MANET as an open area of wireless mobile nodes allow external attackers to join the network easily and masquerade legitimate nodes. Therefore, the objective of this paper is to develop a distributed, self-organizing and hybrid intelligent model, called dendritic cell fuzzy algorithm (DCFA), for security routing in MANET. The DCFA model inspiring the detection functionality of dendritic cells (DCs) in human immune system (HIS) and the accurate decision-making functionality of fuzzy logic theory to detect network attacks in MANET. The DCFA model is developed and validated by detecting a flooding-based attack, namely, a resource consumption attack (RCA). QualNet v5.0.2 is used as a simulation environment to test the capability of DCFA in detecting RCA over MANET. The results show the capability of DCFA to perform the detection operation with high efficiency and effectiveness.

A Survey on Assorted Subsisting Approaches to Recognize and Preclude Black Hole Attacks in Mobile Adhoc Networks

<p>Ensuring collateral is the most substantial snag in Mobile Adhoc Networks which crash the efficacy of the network. Without regard to all different networks, the Mobile Adhoc network is stuffed with more safety hindrances and the Adhoc on Demand Vector Routing Protocol is more comprehensively utilized protocol in MANETS. This type of network is more exposed to assorted number of attacks and among those, the black hole attack and its variant pull off critical detriment to the entire network .In this type of attack, named black hole attack, the noxious node utilizes its routing principles, with the view to annunciate itself, that it has the briefest route to the target node. In this paper, we have investigated all the subsisting techniques and graded the solution with a table to understand their pros and cons.<strong></strong></p>

Prevention of Attacks in Mobile Ad Hoc Network using African Buffalo Monitoring Zone Protocol

Mobile ad hoc networks (MANET) can be utilized for communicating wirelessly. However, MANET is affected by many attacks and malicious activities. In MANET, the prevention approach is necessary to secure communication. MANET is easily affected by numerous attacks such as wormhole (WH) attack, Grey-hole (GH) attack, and black-hole (BH) attack in which the sender hubs can’t able to transmits the message to the target node due to the malicious behavior. To prevent the attacks in MANET, this research introduces a novel routing protocol as African Buffalo Monitoring Zone Protocol (ABMZP). This approach is utilized for preventing wormhole attack and other malicious activities in MANET. This mechanism monitors the communication channel continuously and identifies the attack detection. Sequentially, the ABMZP approach prevents the harmful nodes and finds the alternate path for communication. The simulation of this research is done with the use of Network Simulator 2 (NS-2) and finally, the efficiency of the projected ABMZP work outcomes are compared with the latest existing techniques and provides superior results.

A cooperative combined defense technique for jamming attack in MANET

Mobile ad hoc networks (MANET) consist of continuously mobile nodes in the network. Due to this dynamic nature of the network, new nodes keep joining the network and some nodes exit the network every now and then. As a result, keeping track of every node in the network is not possible. So, malicious nodes like jammers can easily enter the network and affect the efficiency of the network. Hence, in this paper, we develop a cooperative combined defense technique for detecting jamming attacks in the MANET by determining the presence of jammers in the network. This is achieved by combining several important factors like correlation coefficient, carrier sensing time, packet delivery ratio (PDR) and signal strength (SS). Then a trust model is derived for each node and updated based on these measured parameters. Each node collaboratively checks the updated trust values of a suspected node and detects the jamming attack. Simulation results show that the proposed technique improves the detection accuracy and packet delivery ratio.

A Co-operative Combined Defense Technique for Jamming Attack in MANET

Mobile ad hoc networks (MANET) consist of continuously mobile nodes in the network. Due to this dynamic nature of the network, new nodes keep joining the network and some nodes exit the network every now and then. As a result, keeping track of every node in the network is not possible. So, malicious nodes like jammers can easily enter the network and affect the efficiency of the network. Hence, in this paper, we develop a cooperative combined defense technique for detecting jamming attacks in the MANET by determining the presence of jammers in the network. This is achieved by combining several important factors like correlation coefficient, carrier sensing time, packet delivery ratio (PDR) and signal strength (SS). Then a trust model is derived for each node and updated based on these measured parameters. Each node collaboratively checks the updated trust values of a suspected node and detects the jamming attack. Simulation results show that the proposed technique improves the detection accuracy and packet delivery ratio.

A novel Approach for Detecting DDoS Attack in MANET

Despite enormous efforts in combating DDoS attacks in the past decades. DDoS attacks are still a serious threat to the security of cyberspace especially in wireless mobile ad hoc networks (MANET). As more and more essential services become reliant on the Internet as part of their communication infrastructure, the consequences of denial of service attacks can be very damaging. It is difficult to identify benign request and attacker’s request. The research objective is to identify the DDoS attacks in attack traffic. This paper emphasizes on the detection of DDoS attacks in MANET based on three parameters bit rate, PDR and delay. The simulation will classify the benign and the malicious traffic using SVM. The entire work is carried on the LIBSVM simulator and dataset is generated on NS2

A Review on Cooperative Bait Based Intrusion Detection in MANET

Mobile Ad Hoc Network (MANET) is a kind of wireless network where a number of mobile nodes are wirelessly connected without any fixed infrastructure. Several attacks or intrusions may occur because of the presence of selfish or malicious nodes in MANETs while performing data transmission from one mobile node to another. Vulnerability occurs in the mobile nodes of the MANETs, when an intruder node easily captures the traffic pattern of the network. A Cooperative Bait Detection Scheme is introduced for detecting the selfish node and malicious node in MANET. CBDS contains the more benefit for proactive and reactive protection constructions using routing scheme to identify the black hole attacks in MANETs. With the design of CBDS, the source node selects the adjacent node address which is taken as bait destination address for transmitting bait malicious node to reply message. Then the malicious nodes are detected from participating the routing operation based on reverse tracing technique for providing better security.

Efficient Detection of Black Hole attack in Mobile Adhoc Networks using a TRUST based Scheme

In this paper, the security problem of black hole node in mobile adhoc networks (MANET) is discussed. Mobile adhoc network is a kind of network in which there is no fixed structure of the network. All the nodes are mobile i.e. they are free to move where ever they want to move. Mobility of the nodes and lack of any central administration in the network leads to complex security problem and black hole attack is one such security problem. In this paper, some of the best work which are already exist in this field and the limitations are disused in brief. A Relative TRUST based approach to eradicate the problem of black hole is proposed in this paper.

Random ID based Secure AODV to prevent Black Hole Attack in MANET

Mobile Ad Hoc Networks (MANET) are typically wireless networks that do not have any fixed network architecture. This makes the task of routing layers difficult. A popular reactive routing protocol – Ad hoc On-demand Distance Vector (AODV) used in MANETs has certain vulnerabilities which make it susceptible to black hole attacks. This paper proposes an innovative technique to detect and prevent the possibility of a black hole attack in AODV based MANETs. Using the approach of detecting multiple Route Reply (RREP) messages, authentication of nodes is done by the use of a randomly generated id unique to each route discovery process. This method was tested using simulations in NS2 software and compared with previous attempts. The proposed method showed marked improvement in performance in the presence of malicious nodes.

A Framework for Various Attack Identification in MANET Using Multi-Granular Rough Set

The topology changes randomly and dynamically in a mobile adhoc network (MANET). The composite characteristics of MANETs makes it exposed to interior and exterior attacks. Avoidance support techniques like authentication and encryption are appropriate to prevent attacks in MANETs. Thus, an authoritative intrusion detection model is required to prevent from attacks. These attacks can be at either the layers present in the network or can be of a general attack. Many models have been developed for the detection of intrusion and detection. These models aim at any one of the layer present in the network. Therefore, effort has been made to consider either the layers for the detection of intrusion and detection. This article uses a multigranular rough set (MGRS) for the detection of intrusion and detection in MANET. The advantage of MGRS is that it can aim at either the layers present in the network simultaneously by using multiple equivalence relations on the universe. The proposed model is compared with many traditional models and attained higher accuracy.