The Modified Secure AODV Routing Protocol for Black Hole Attack in Manet

Mobile Adhoc Network is gathering of portable nodes which are actively structuring a momentary network without utilizing any pre accessible network infrastructure or central management. Each node in MANET not only provides as a specific terminal but also performs as a router to form a route. While a source node plans to send data to an intended node, packets are moved from the middle nodes. An Adhoc routing protocol is a classical method that supervises how nodes opt any route and in which manner they have to route packets among computing devices in a MANET. Because of different factors with lack of infrastructure, deficiency of already established trust relationship among the various nodes and dynamic topology, the MANET routing protocols are weak to different routing attacks. In contrast to conventional wired networks, such type attacks are executed simply in MANET because of the unsupervised entrance to the wireless medium. The malicious exploitation of various routing information results in the diffusion of wrong routing information which could eventually guide to network failure. One of these attacks in the existing wireless routing protocol like Ad-hoc on demand Distance Vector (AODV) Routing protocol is the Black Hole Attack against network truthfulness. In this attack, the data packets doesn’t arrive at the destination node, thus data loss happens. There is number of detection and protection methods to reduce the intruder that achieve the black hole attack. Therefore, this paper proposes Modified Secure AODV routing protocols (MSAODV) found on threshold evaluation and cryptographic verification. In this paper, the black hole attack and the proposed MSAODV protocols are simulated in the Network Simulator NS-2 under different MANET circumstances and their performances are evaluated on various parameters like Packet drop ratio, routing overload, throughput etc. Keywords: AODV, Black hole, gray hole, worm hole attack, MANET, AOMD

Secure Routing Environment with Enhancing QoS in Mobile Ad-Hoc Networks

A mobile adhoc network is infrastructure-free and self configured network connected without wire. As it is infrastructure-free and no centralized control, such type of network are suitable only for conditional inter communication link. So initially maintaining Quality of Service and security aware routing is a difficult task. The main purpose of QoS aware routing is to find an optimal secure route from source to destination which will satisfy two or more QoS constrain. In this paper, we propose a net based multicasting routing scheme to discovery all possible secure path using Secure closest spot trust certification protocol (SCSTC) and the optimal link path is derived from Dolphin Echolocation algorithm (DEA). The numerical result and performance analysis clearly describe that our provided proposal routing protocol generates better packet delivery ratio, decreases packet delay reduces overhead in secured environment

Secure Energy Aware Optimal Routing using Reinforcement Learning-based Decision-Making with a Hybrid Optimization Algorithm in MANET

Mobile ad hoc networks (MANETs) are wireless networks that are perfect for applications such as special outdoor events, communications in areas without wireless infrastructure, crises and natural disasters, and military activities because they do not require any preexisting network infrastructure and can be deployed quickly. Mobile ad hoc networks can be made to last longer through the use of clustering, which is one of the most effective uses of energy. Security is a key issue in the development of ad hoc networks. Many studies have been conducted on how to reduce the energy expenditure of the nodes in this network. The majority of these approaches might conserve energy and extend the life of the nodes. The major goal of this research is to develop an energy-aware, secure mechanism for MANETs. Secure Energy Aware Reinforcement Learning based Decision Making with Hybrid Optimization Algorithm (RL-DMHOA) is proposed for detecting the malicious node in the network. With the assistance of the optimization algorithm, data can be transferred more efficiently by choosing aggregation points that allow individual nodes to conserve power The optimum path is chosen by combining the Particle Swarm Optimization (PSO) and the Bat Algorithm (BA) to create a fitness function that maximizes across-cluster distance, delay, and node energy. Three state-of-the-art methods are compared to the suggested method on a variety of metrics. Throughput of 94.8 percent, average latency of 28.1 percent, malicious detection rate of 91.4 percent, packet delivery ratio of 92.4 percent, and network lifetime of 85.2 percent are all attained with the suggested RL-DMHOA approach

AOMDV with Load Balanced as an Improvement to AOMDV Protocol

MANETs are one of the most challenging and growing research field because of their demand and challenges in providing services because of its dynamic nature. Load balancing is one of the key problems in MANETs as load balancing in network is essential for better lifetime of network, Qos, congestion control. The proposed approach in the research emphasises on the stability of the paths and distributing the traffic in the network based on the energy of the nodes. The simulations were performed in NS2. The results shows that the proposed algorithm was able to achieve batter packet delivery ratio and throughput without increasing the overhead in the network, The proposed algorithm also managed to consume a balanced energy from all the nodes in the network

Reputation-Based Internet Protocol Security: A Multilayer Security Framework for Mobil Ad Hoc Networks

This research effort examines the theory, application, and results for a Reputation-based Internet Protocol Security (RIPSec) framework that provides security for an ad-hoc network operating in a hostile environment. In RIPSec, protection from external threats is provided in the form of encrypted communication links and encryption-wrapped nodes while internal threats are mitigated by behavior grading that assigns reputations to nodes based on their demonstrated participation in the routing process. Network availability is provided by behavior grading and round-robin multipath routing. If a node behaves faithfully, it earns a positive reputation over time. If a node misbehaves (for any number of reasons, not necessarily intentional), it earns a negative reputation. Each member of the MANET has its own unique and subjective set of Reputation Indexes (RI) that enumerates the perceived reputation of the other MANET nodes. Nodes that desire to send data will eliminate relay nodes they perceive to have a negative reputation during the formulation of a route. A 50-node MANET is simulated with streaming multimedia and varying levels of misbehavior to determine the impact of the framework on network performance. Results of this research were very favorable. Analysis of the simulation data shows the number of routing errors sent in a MANET is reduced by an average of 52% when using RIPSec. The network load is also reduced, decreasing the overall traffic introduced into the MANET and permitting individual nodes to perform more work without overtaxing their limited resources. Finally, throughput is decreased due to larger packet sizes and longer round trips for packets to traverse the MANET, but is still sufficient to pass traffic with high bandwidth requirements (i.e., video and imagery) that is of interest in military networks