With the rapid development of information technology and the increasing application of UAV in various fields, the security problems of unmanned aerial vehicle (UAV) communication network have become increasingly prominent. It has become an important scientific challenge to design a routing protocol that can provide efficient and reliable node to node packet transmission. In this paper, an efficient Digital Signature algorithm based on the elliptic curve cryptosystem is applied to routing protocol, and an improved security method suitable for on-demand routing protocol is proposed. The UAV communication network was simulated through the NS2 simulation platform, and the execution efficiency and safety of the improved routing protocol were analyzed. In the simulation experiment, the routing protocols of ad-hoc on demand distance vector (AODV), security ad-hoc on demand distance vector (SAODV), and improved security ad-hoc on demand distance vector (ISAODV) are compared in terms of the performance indicators of packet delivery rate, throughput, and end-to-end delay under normal conditions and when attacked by malicious nodes. The simulation results show that the improved routing protocol can effectively improve the security of the UAV communication network.

Research of Security Routing Protocol for UAV Communication Network Based on AODV

Mobile Ad hoc Network is a collection of autonomous mobile nodes connected with each other without any central coordinator. There is several security issues arise in MANET due to dynamically changing network topology. The reliable communication is achieved only when there exists cooperation among the mobile nodes in MANET. Due to the lack of resources some mobile nodes refuse to forward the packet to other nodes. This type of nodes is called the selfish nodes. These kind of selfish nodes in the route degrade the overall performance of the whole network. In this paper we discussed about the various selfish node detection methods and propose a selfish node detection algorithm (SNDA) for identifying and isolation of selfish node from the network.

An Efficient Approach to Identify Selfish Node in MANET

Recently Mobile adhoc networks (MANETs) have received the great attention of researchers as these models provide a wide range of applications. But MANET nodes are prone to various security threats. To overcome this issue, many trust management frameworks have been implemented in the literature. It has been found that the use of machine learning can predict trust values more efficiently. However, machine learning performance suffers from the hyper-parameters tuning and over-fitting issues. Therefore, in this paper, novel trust management is proposed. initially, the Adaptive neuro-fuzzy inference system (ANFIS) is used to train the trust prediction model. Thereafter, a non-dominated sorting genetic algorithm-III (NSGA-III) is used to tune the hyper-parameters of the ANFIS model. Precision, recall, and root mean squared error metrics are used to design a multi-objective fitness function. Optimized link state routing (OLSR) protocol is used for comparative analyses purpose. Three different attacks are applied on the designed network i.e., link spoofing, jellyfish, and gray hole attacks to obtain the dataset. Comparative analysis reveals that the proposed trust evaluation model outperforms the competitive trust evaluation models in terms of various performance metrics such as routing overheads, average end to end latency, packet delivery ratio, and throughput. Thus, the proposed protocol is more secure against various security threats.

Novel trust evaluation using NSGA-III based adaptive neuro-fuzzy inference system

Cloud based computing is a skill which provide communications for large scale storage of data, along with its refine and assigning. The security and retreat become main concern for uploading sensitive data without any information leak. This can be achieved by the cloud servers by integrating the encryption techniques into it, which becomes a major objection to guide the efficient keyword based questions and the encrypted data of the matching results. The searching can be an interrogation technique which is either based on a single keyword or multi-keyword as input. In this paper, a fresh algorithm known as Multi-Keyword Interrogation Scheme (MKIS) algorithm is recommended. It lessens the maintenance overhead to a greater scope when the keyword dictionary expansion occurs dynamically. The experimental results show that MKIS presents excellent performance when compared with the existing schemes. The proposed technique is presented in 2 aspects: many-keyword graded the look to attain exact look for output and meaning-based explore to maintain synonym questions. Search Terms— Cloud based computing, Multi-keyword interrogation, Data encryption, Security preserving, semantic grilling.

Efficient Semantic Interrogation Scheme over Cryptographic Data in Cloud

Mobile ad hoc network is a self-organizing wireless network, which is formed by the wireless mobile devices without any centralized infrastructure. The mobile nodes in the network are mainly affected by the inherent characteristics such as unpredictable network topology and open wireless medium. Especially, the presence of selfish nodes in the network creates the packet loss and affects an entire communication system. In this paper, the hash function with position updating algorithm is proposed in the Ad hoc On-Demand Distance Vector (AODV) routing protocol for improving the security against the selfish nodes. The AODV routing protocol is used to transmit the data packets from the source to the destination. Therefore, the Prevention of Selfish Node using Hash Function (PSNHF) with position update algorithm is proposed for minimizing the packet loss through the network. The performances of proposed AODV-PSNHF method are analysed in terms of energy consumption, throughput, Packet Delivery Ratio (PDR), packet loss and normalized routing load. In addition, the AODV-PSNHF method is compared with the existing trust-aware ad-hoc routing protocol (T2AR). The selfish node identification using hash function and positioning update using AODV-PSNHF method provides reliable and secure data transmission under selfish nodes and shows better performance in terms of throughput, packet delivery ratio and packet loss. For 2% of malicious nodes the PDR of the AODV-PSNHF method is 89%, it is 9% higher when compared to the T2AR protocol whose PDR% is only 80% for the same.

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PUSR: Position Update Secure Routing protocol for MANET

MANETs have grown into a usually used network for countless applications. Mostly, a transmission medium perspective undergoes with thoughtful security worries, which may be focused to packet dropping. In the network, when packet forward the drooping of valuable packets may occur due to the presence of malicious nodes. The major sources in MANET for packet losses are malicious packet dropping and link error. A node can perform unkindly and could harm the process of sending the packet. In order to overcome the issues and to have an efficient detection process of malicious drop with better secure performances, the improved failure aware third party Auditor (IFTPA) based homomorphism linear authenticator (HLA) mechanism (IFHM) is proposed with the secured ad hoc on demand distance vector (SAODV). The proposed approach permitsthe trustworthiness verification of packet loss information and malicious node detection by dropping identifying of routing and data packet. Packet dropping is because of the both link error and occurrence of malicious nodes, which can identify by SAODV. To make certain efficiency, the authentication service is implemented in the protocol. However, to succeed storage scalability, the protocol implements the pseudo random function (PRF) in the system to fix the secret key of a client to its uniqueness using the secret key of its server.

Preventing malicious packet dropping nodes in MANET using IFHM based SAODV routing protocol

In Mobile Ad Hoc Network (MANET), the nodes are powered with an insufficient battery capacity and owing to this reason sometime the nodes are not able to transmit or receive the packets from their neighbouring nodes. So, network lifetime enhancement with minimal energy utilization over the network is one of the primary challenges while developing the routing protocols for MANET. Thus, in this paper an energy constrained honeycomb routing algorithm based on cross layer parameters has been proposed for MANET. The algorithm concentrates on the energy optimization on different layers by considering, MAC queue utilization, link expiration time and Expected transmission time. Moreover the algorithm selects the optimal path after discovering the several routes using the honeycomb routing which is the enhancement of AODV protocol. The simulation results show that the proposed routing scheme for increasing the network lifetime has been performed better than the existing routing schemes in terms of the packet delivery ratio, throughput, network lifetime and delay

A. M. J. Zubair Rahaman

Papers

Preventing malicious packet dropping nodes in MANET using IFHM based SAODV routing protocol

Cross Layer Design based Energy Constrained Honey Comb Routing for MANET