Elliptic Curve Cryptography Based Data Transmission against Blackhole Attack in MANET

Mobile nodes roaming around in the hostile environment of mobile adhoc network (MANET) play the role of router as well as terminal. While acting as a router, a node needs to choose a reliable routing protocol. Besides, an encryption algorithm is needed to secure data to be conveyed through the unfriendly atmosphere while acting as a terminal. We have implemented Elliptic Curve Cryptography (ECC) along with Adhoc On Demand Multipath Distance Vector (AOMDV) routing protocol to secure data transmission against blackhole attack in a MANET. ECC, a public key cryptography that works on discrete logarithm problem with a much smaller key size, has been used to encrypt data packets at source node before transmission. We have used AOMDV, a reliable routing protocol compared to its parent protocol, Adhoc On Demand Distance Vector (AODV), with a multipath extension, for routing. The encrypted packets transferring between nodes via AOMDV, has been proved secured against blackhole attack. The performance of the secured protocol has been analyzed in terms of different performance metrics and in terms of varying number of blackhole attacker nodes

Analysis of Behavioral Characteristics of Multiple Blackhole Attacks with TCP and UDP Connections in Mobile ADHOC Networks based on Machine Learning Algorithms

In Mobile Adhoc Networks (MANET’s), a suit of nodes which are under mobility work together to transmit data packets in a multiple-hop manner without relying on any fixed or centralized infrastructure. A significant obstacle in managing these networks is identifying malicious nodes, or "black holes". To detect black holes, we proposed a method involves broadcasting a Cseq to the neighboring nodes and awaiting the node's response is utilized. This Network is simulated with 25 number of nodes connected with TCP connection and observed the different behavioural characteristics of nodes. Then the connections are changed to UDP and observed the characteristics. Then characteristics are analyzed with different machine learning algorithms. The network is simulated in NS2 environment

IMPLEMENTATION OF MANET CONTROL PACKET DROP USING BAIT DETECTION APPROACH

The conception following this development is the communication between nodes with the purpose of nodes cooperating with a piece of other. The expansion of mean nodes can direct to severe security concern; such nodes may interrupt the routing process. In this environment to prevent or detect malicious nodes, an instigation of greenhole or collaborative blackhole attack must be a dispute. This issue attempt to declaration by designing a Dynamic Routing (DR)-based routing technique, which is referred to as the helpful Bait Detection System (BDS) which integrate the compensation of both proactive and reactive security architectures. Our BDS technique equipment and knock over tracing performance helps in achieving the fixed target. Finally, the simulation result are obtained, appearance of the happening of malicious-node attacks, the BDS outperforms the DSR network, and Adhoc On-Demand Distance Vector(AODV) Routing protocols in terms of mounting packet delivery ratio and routing overhead and throughput

Performance analysis of black hole and worm hole attacks in MANETs

A Mobile Ad Hoc Network MANET is composed of a freely and mobility set of mobile nodes. They form a temporary dynamic wireless network without any infrastructure. Since the nodes act as both host and router in their communication, they act as a router provide connectivity by forwarding data packets among intermediate nodes to the destination. The routing protocol is used to grove their communication and connectivity as example, the Ad On-demand distance vector (AODV) routing protocol. However, due to the lack of security vulnerabilities of routing protocols and the absence of infrastructure, MANET is vulnerable to various security threats and attacks. This paper examines the impact of two types of attacks on AODV routing protocol using Network Simulator version 2 (NS2) environment. These attacks are Blackhole and Wormhole Attacks. The aim of both of them is to prevent data packets to reach the destination node and dropping all the traffic.

Capability Analysis of Attacks in Wireless Sensor Network

Security is key concern area in WSN as the nature of such networks makes them susceptible to various types of attacks. Driven by this, a lot of research work has been done to classify the attacks and their prevention schemes. In this paper, some well-known attacks are compared based on their severity in WSN. The behavior of black hole, gray hole and flooding attack is simulated and analyzed using ns2. The capability analysis is done on the parameters such aspacket delivery ratio, throughput, drop rate, success rate and density of packet drop, packet forward, packet sent and packet received. The analysiscompares the intensity of the attacks against each other. The simulated result shows a maximum density of packet drop in black hole attack and a minimum density of packet received in flooding attack

A novel secure routing scheme using probabilistic modelling for better resistivity against lethal attacks

Study towards Wireless Adhoc Network dates two decades back with various researchers evolving up with new solutions towards addressing its problems. Irrespective of various other problems, the issues related to the secure routing is yet unsolved owing to massively increasing fatal strategies of the adversary. Review of existing literature shows that the existing secure routing scheme can only govern over the stated attacks reducing the applicability in case of dynamic attacks. Therefore, this manuscript introduces a novel probabilistic model which offers the capability to wireless nodes to identify the malicious behavior and react accordingly. Different from existing intrusion prevention system, the proposed system allows the malicious node to participate in the data forwarding process and exhaust its resources with no chance of launching an attack. The simulated outcome of the study shows that the proposed secure routing scheme offers better data forwarding characteristic in contrast to the existing system in the aspect of intrusion detection and secure data transmission

Manifestation and mitigation of node misbehaviour in adhoc networks

Mobile adhoc network is signified as a boon for advance and future wireless communication system. Owing to its self-establishing network features and decentralization, the system can actually establish a wireless communication with vast range of connectivity with the other nodes. However, the system of MANET is also beheld with various technical impediments owing to its inherent dynamic topologies. Although there are abundant volume of research work, but very few have been able to effectively address the node misbehavior problems in MANET. The paper initially tries to draw a line between different types of nodes in MANETs based on their behavior characteristics, then reviews some of the significant contribution of the prior researches for addressing node misbehavior issues. A major emphasis is laid on is the researches which use game theory as a tool to study and address the misbehavior problems. The manuscript is developed considering some of the latest and standard evidences of past 5 years and finally discusses the open issues related to the problems