Attacks In Mobile Ad Hoc Networks Research Articles

A Constructive Intrusion Detection System for Preventing Attacks in Mobile ADHOC Networks

A Constructive Intrusion Detection System for Preventing Attacks in Mobile ADHOC Networks

Energy aware detection and prevention of black hole attack in MANET

Energy and security are the two vital components of Mobile Ad-hoc Networks (MANETs). During routing finding an optimal path from sender to receiver sense of path length (number of hops), longevity (battery life) and security becomes an essential requirement. Variety of schemes are proposed by the researchers for finding the shortest path along with energy saving and protecting from attacks Black-hole and gray-hole attacks are some of the most harmful attacks against MANET communication and needs attention. These attacks may cause by insider or outsider malicious node(s) who may drop packets or misroute the information during communication from sender node to receiver node. In our study we proposed an intelligent routing protocol based on Ant Colony Optimization (ACO) technique that finds shortest path from source to destination, applies the concept of power aware techniques to save energy increasing the longevity of the link avoiding link failure and also uses the concept of digital signatures, watchdog and path rater for detection and avoidance ofblack-hole and gray-hole attacks. Simulation study of the proposed scheme is made over some network parameters and found to be efficient in comparison to the basic AODV routing protocol.

A Novel Defense Scheme against Flooding Attack in Mobile Adhoc Networks

A Novel Defense Scheme against Flooding Attack in Mobile Adhoc Networks

Black hole detection using evolutionary algorithm for IDS/IPS in MANETs

Mobile ad hoc network (MANET) is a self organized structure of mobile nodes which are distributed unevenly in the environment. There are various MANET routing protocols exist which cannot stand against the security issues which might occur inside or outside of the MANET environment. Black hole attack is most popular insider attack happening on the MANET environment which needs to be concerned more to avoid the unwanted packet loss. These problems are resolved in the proposed research method by introducing new method namely hybridization of particle swarm optimization with genetic algorithm (HPSO-GA) routing system. The main contribution of this research method is to detect the black hole attack (BHA) by utilizing ad hoc on demand distance vector (AODV) routing protocol. This method utilizes the data routing information (DRI) of the neighbouring nodes instead of considering source node information. DRI information are gathered from every neighbouring nodes which increases the probability of attack detection accuracy. The suggested HPSO-GA routing mechanism researches the black hole attack in MANET, at that point, the outputs were measured utilizing the parameters namely detection rate, false positive alarm (FPA), packet delivery ratio (PDR), routing overhead, average end to end delay and throughput. The outcomes are contrasted with existing techniques, like, AODV, local intrusion detection (LID) with AODV. Simulation output utilizing the network simulator demonstrates that the improvement ratio of the throughput picked up by HPSO-GA security routing mechanism and general improvement reduction at end-to-end delay and routing overhead.

APD-JFAD: Accurate Prevention and Detection of Jelly Fish Attack in MANET

Mobile ad hoc networks (MANETs) are surrounded by tons of different attacks, each with different behavior and aftermaths. One of the serious attacks that affect the normal working of MANETs is DoS attack. A sort of DoS attack is Jellyfish attack, which is quite hard because of its foraging behavior. The Jellyfish attack is regarded as one of the most difficult attack to detect and degrades the overall network performance. In order to combat Jellyfish attack in MANETs, this paper proposes a novel technique called accurate prevention and detection of jelly fish attack detection (APD-JFAD). It is a fusion of authenticated routing-based framework for detecting attacks and support vector machine (SVM). SVM is utilized for learning packet forwarding behavior. The proposed technique chooses trusted nodes in the network for performing routing of packets on the basis of hierarchical trust evaluation property of nodes. The technique is tested using NS-2 simulator against other existing techniques, i.e., ABC, MABC, and AR-AIDF-GFRS algorithms by various parameters such as throughput, PDR, dropped packet ratio, and delay. The results prove that APD-JFAD is highly efficient in Jellyfish attack detection and also performs well as compared to other algorithms.

Detecting and Isolating Black‐Hole Attacks in MANET Using Timer Based Baited Technique

Mobile Ad hoc Network (MANET) is a type of wireless networks that provides numerous applications in different areas. Security of MANET had become one of the hottest topics in networks fields. MANET is vulnerable to different types of attacks that affect its functionality and connectivity. The black‐hole attack is considered one of the most widespread active attacks that degrade the performance and reliability of the network as a result of dropping all incoming packets by the malicious node. Black‐hole node aims to fool every node in the network that wants to communicate with another node by pretending that it always has the best path to the destination node. AODV is a reactive routing protocol that has no techniques to detect and neutralize the black‐hole node in the network. In this research, we enhanced AODV by integrating a new lightweight technique that uses timers and baiting in order to detect and isolate single and cooperative black‐hole attacks. During the dynamic topology changing the suggested technique enables the MANET nodes to detect and isolate the black‐hole nodes in the network. The implementation of the proposed technique is performed by using NS‐2.35 simulation tools. The results of the suggested technique in terms of Throughput, End‐to‐End Delay, and Packet Delivery Ratio are very close to the native AODV without black holes.

Preventing clone attacks using dynamic cryptography in MANETs

Mobile Ad-Hoc Networks (MANETs) use anonymous routing protocols that hide node identifies and/or routes from outside observers in order to provide anonymity protection. In this attack, an adversary captures few nodes, replicates them and then deploys arbitrary number of replicas throughout the network. It is very hard to distinguish between non-compromised nodes a clone node since a clone has the same security and code information of original node. Hence cloned nodes can launch a variety of other attacks. The detection of cloning attacks is therefore a fundamental problem. The main objective of this method is to prevent clone attacks in MANETs while routing. A clone attack is launched by a malicious node by copying the configuration of a legitimate active node of current operating network. Polynomial bivariate keys are used for preventing clone attacks while routing by validating the next hop until the data reaches the destination. A polynomial key based authentication layer in AODV is used to demonstrate the clone attack prevention in the MANET.

SRDPV: secure route discovery and privacy-preserving verification in MANETs

In the routing discovery phase of the Mobile Ad hoc Networks (MANETs), the source node tries to find a fast and secure path to transmit data. However, the adversaries attempt to get the rights of routing during this phase ,then the networks can easily be paralyzed during the data transmission phase. During the routing discovery phase, finding a good path is already a challenge and verifying the security of the established path without revealing any privacy of the nodes adds a new dimension to the problem. In this paper, we present SRDPV, an approach that helps the source find the benign destination dynamically and conducts privacy-preserving verification of the path. Our approach first finds the benign destination. Then, it spreads the verification tasks across multiple nodes and verifies the log entries without revealing private data of the nodes. Unlike the traditional debugging system to detect the faults or misbehaviors of the nodes after the attacks, SRDPV can guarantee the source to avoid transmitting data through malicious nodes at the beginning and perform the verification without introducing a third party. We demonstrate the effectiveness of the approach by applying SRDPV in two scenarios: resisting the collaborative black-hole attack of the AODV protocol and detecting injected malicious intermediated routers which commit active and passive attacks in MANETs. We compared our approach with the existing secure routing algorithms and the results show that our approach can detect the malicious nodes, and the overhead of SRDPV is moderate.

A dynamic threshold based algorithm for improving security and performance of AODV under black-hole attack in MANET

Mobile Ad hoc network (MANET) is a wireless network which is characterized by dynamic network topology, open medium, multi-hop communication etc. in which each device not only acts as a router but also as a host. Security in the mobile ad-hoc network is one of the most sought-after research topic. The performance of MANET is greatly affected by the presence of malicious nodes in the network. One of the most common attacks in MANET is a denial of service attack in which the source node is not able to communicate with the destination node due to malicious behaviour of the node. The malicious node which drops the packet is known as a black-hole node. In order to mitigate the black-hole attack problem, various techniques have been used by many researchers. In this paper, based on a dynamic sequence number threshold value, MBDP-AODV protocol is used. The main contribution of this paper is the performance evaluation of MBDP-AODV protocol under black-hole attack. Through simulation, it has been found that MBDP-AODV protocol is able to mitigate the impact of black-hole attack under different network density. Although it improves the network performance in terms of packet delivery, throughput and reduces the normalized routing load but it has high routing overhead.

A Comprehensive Review and Performance Evaluation of Detection Techniques of Black Hole Attack in MANET

Mobile Ad Hoc Network (MANET) is an auto Configuring network. Due to its natural characteristics, a MANET is vulnerable to many security threats. Blackhole attack compromises the performance and the reliability of the network. Since nodes are allowed to move freely within the network, it becomes very important to protect the communication among mobile nodes for the sake of security. In this paper we have investigated various techniques that can detect Blackhole attacks in MANET and we have compared the detection techniques with different matrices such as Average Packet Delivery ratio and Average End-To-End delay.

A modified AODV protocol for preventing blackhole attack in MANETs

ABSTRACTWireless Mobile Ad-Hoc Networks (MANETs) are infrastructure-less networks commonly used for dynamic connection between nodes. These networks work without any external router for maintaining the connection and the nodes themselves behave like a router. Ad-Hoc On Demand Distance Vector (AODV) routing is a widely used protocol for managing communications between the mobile nodes. A blackhole attack is one in which the nodes create a false route through them and then perform malicious activities on the transmitted packets. This paper presents a modification of the existing AODV routing protocol to prevent blackhole attacks in MANETs in an erratic terrain with a high probability of packet loss. A mathematical proof is given to confirm the effectiveness of the proposed algorithm with respect to the previous solution in the literature.

Fuzzy Trust Approach for Detecting Black Hole Attack in Mobile Adhoc Network

Wireless communication technique is crucial during inaccessible disasters, military operation and natural climate adapt. Military application required secure way of data transmission and protect data from third party. However in Mobile Adhoc Network (MANET) due to dynamic topology the nodes are prone to a variety of security attacks like modifying the data, sniffing the information, inhibited by limited energy, computational power and bandwidth. Black hole attacks are one of the possible attacks in MANET. We propose fuzzy logic strategy to detect black hole attack based on certificate authority, energy auditing, packet veracity check and trust node to improve the performance of AODV. Fuzzy schema is a mathematical logic that attempts to work out problems by assigning the prediction values to an imprecise range of data. Fuzzy logic detect misbehaving node by giving certificate to only trusted node. The proposed technique is more secure and reliable in military data communication.

Impact of Vampire Attack on Performance of Wireless Sensor Networks: A Survey

A wireless sensor networks is a temporary, infrastructure less network where nodes communicate without any centralized mechanism. This dynamic behaviour of WSN makes this network more potentially applicable in conference, battlefield environment and disaster relief, and has received significant attention in recent years. Attacker may use this weakness to disrupt the network. Subsequently, Power draining is the major thread; where attacker not only exhausts the network traffic but also degrades the life of node as well network. The objective of this study is to detect and prevent wireless sensor networks from unwanted power draining due to Vampire attack. Here, Targeted Flooding through high battery capacity node has been used to deploy Vampire attack in mobile ad-hoc network. Subsequently, energy consumption and capacity observation technique has been used to detect malicious node(s). Furthermore, prevention method forcefully shutdown malicious nodes and transfer communication.

HSCT: A Hybrid and Secure Clustering Technique for Detection of Black hole Attack in Mobile Adhoc Networks

Mobile Adhoc Network (MANET) is a dynamic network with large number of mobile nodes .As the traffic increases over the MANET, it will leads to number of problems like congestion and packet loss. This congestion and packet loss problems occurs due to the attacks in MANET .Out of the various attacks black hole attack is most dangerous attack which drops all of the packets received from the source node and which act as a black hole in the universe. In this paper we are providing solution against this attack. We propose a new hybrid and secure clustering technique for detecting and isolating black hole attack in MANET. This technique firstly detect the black hole attack by using threshold values against different parameters, after this clustering approach is used for secure path from source to destination by reducing overhead in the network. Most of existing mechanisms are not as efficient because by isolating black hole attack overhead is increased. A HSCT approach has remarkable advantage over these existing techniques. We simulate the proposed technique by using ns2 simulator and proved that our technique effectively detect the black hole attack in terms of throughput, packet loss, overhead, delay. In the last section of paper we deliberate possible future work.

Graph-Based Energy Supportive Routing Protocol to Resist Wormhole Attack in Mobile Adhoc Network

With the evolution of numerous secure routing protocols in mobile adhoc network, there is a tradeoff between the security effectiveness against wormhole attack and energy required to support execution of such security protocols using cryptographic approaches. This paper discusses about a novel routing protocol that offers higher degree of energy conservation when exchanging routing information and at the same time offers a joint usage of unicast, multicast and broadcasting services for faster routing update as well as faster communication establishment required from security viewpoint. The presented solution enhances multicast routing and develops a novel control message. It also rectifies the problems of an intermittent links owing to dynamic topology using graph-based approach. Compared with existing routing protocol, the proposed system offers better conservation of energy and satisfactory communication performance in mobile ad-hoc network.

DAWA: Defending against wormhole attack in MANETs by using fuzzy logic and artificial immune system

Mobile ad hoc networks (MANETs) are mobile networks, which are automatically outspread on a geographically limited region, without requiring any preexisting infrastructure. Mostly, nodes are both self-governed and self-organized without requiring a central monitoring. Because of their distributed characteristic, MANETs are vulnerable to a particular routing misbehavior, called wormhole attack. In wormhole attack, one attacker node tunnels packet from its position to the other attacker nodes. Such wormhole attack results in a fake route with fewer hop count. If source node selects this fictitious route, attacker nodes have the options of delivering the packets or dropping them. For this reason, this paper proposes an improvement over AODV routing protocol to design a wormhole-immune routing protocol. The proposed protocol called defending against wormhole attack (DAWA) employs fuzzy logic system and artificial immune system to defend against wormhole attacks. DAWA is evaluated through extensive simulations in the NS-2 environment. The results show that DAWA outperforms other existing solutions in terms of false negative ratio, false positive ratio, detection ratio, packet delivery ratio, packets loss ratio and packets drop ratio.

A novel approach for mitigating route request flooding attack in MANET

Mobile ad-hoc network (MANET) is a temporary network in which the main requirement for establishing the communication path among nodes is that the nodes should be cooperative. However, in the presence of malicious node, the MANET's routing protocol such as AODV is vulnerable to different types of flooding attacks. The flooding attack can be continuous or selective. In the available literature, although many researchers have analyzed the network under continuous flooding attack but they have not focussed on selective flooding attack in which an attacker can sometimes behave as a normal and sometimes behave as a malicious. Most of the existing schemes use constant threshold value which lead to a false positive problem in the network. In order to address this issue, a new mechanism called as Mitigating Flooding Attack Mechanism is proposed which is based on a dynamic threshold value and consists of three phases. It makes use of several special nodes called as Flooding-Intrusion Detection System (F-IDS) that are deployed in MANETs in order to detect and prevent flooding attack. The F-IDS nodes are set in promiscuous in order to monitor the behaviour of the node. The simulation results show that the proposed mechanism improves network performance metrics in terms of PDR, throughput and reduces the routing overhead as well as normalized routing load.

A novel support vector machine based intrusion detection system for mobile ad hoc networks

The performance of mobile ad hoc networks (MANETs) is significantly affected by the malicious nodes. One of the most common attacks in MANETs is denial of service (DoS); a type of intrusion specifically designed to target service integrity and availability of a certain network node. Hence, it is important to use an efficient intrusion detection system (IDS) that detects and removes the malicious nodes in the network to improve the performance by monitoring the network traffic continuously. The main contribution of this paper is the integration of an IDS into MANETs as a reliable and potent solution. A new approach to intrusion detection is developed based on support vector machine algorithm. The proposed IDS can detect the DoS type attacks at a high detection rate with a simple structure and short computing time. It is shown by extensive computer simulation that the proposed IDS improves the reliability of the network significantly by detecting and removing the malicious nodes in the system. The performance of the suggested approach is independent of the network routing protocol. The detection rate of the system is also not effected by node mobility and network size.

Detection and Avoidance of Gray Hole Attack in Mobile Ad-Hoc Network

Detection and Avoidance of Gray Hole Attack in Mobile Ad-Hoc Network

Security Issues and Attacks in Mobile Adhoc Networks

Security Issues and Attacks in Mobile Adhoc Networks