International Journal of Electrical and Computer Engineering (IJECE) Vol. 9, No. 5, October 2019, pp. 3759~3771 ISSN: 2088-8708, DOI: 10.11591/ijece.v9i5.pp3759-3771  3759 Journal homepage: http://iaescore.com/journals/index.php/IJECE Trust model genetic node recovery based on cloud theory for underwater acoustic sensor network Buddesab, Thriveni J, Venugopal K R Department of Computer Science and Engineering, University Visvesvaraya College of Engineering, Bangalore University, India Article Info ABSTRACT Article history: Received Jan 11, 2019 Revised Apr 8, 2019 Accepted Apr 16, 2019 Underwater Acoustic Sensor Networks [UASNs] are becoming a very growing research topic in the field of WSNs. UASNs are harmful by many attacks such as Jamming attacks at the physical layer, Collision attacks at the data link layer and Dos attacks at the network layer. UASNs has a unique characteristic such as unreliable communication, mobility, and computation of underwater sensor network. Because of this the traditional security mechanism, e.g. cryptographic, encryption, authorization and authentications are not suitable for UASNs. Many trust mechanisms of TWSNs [Terrestrial Wireless Sensor Networks] had proposed to UASNs and failed to provide security for UASNs environment, due to dynamic network structure and weak link connection between sensors. In this paper, a novel Trust Model Genetic Algorithm based on Cloud Theory [TMC] for UASNs has been proposed. The TMC-GA suggested a genetic node recovery algorithm to improve the TMC network in terms of better network lifetime, residual energy and total energy consumption. Also ensures that sensor nodes are participating in the rerouting in the routing discovery and performs well in terms of successful packet delivery. Simulation result provides that the proposed TMC-Genetic node recovery algorithm outperforms compared to other related works in terms of the number of hops, end-to-end delay, total energy consumption, residual energy, routing overhead and network lifetime. Keywords: Cloud Theory Model Data security TWSN UASN Wireless Sensor Network Copyright © 2019 Institute of Advanced Engineering and Science. All rights reserved. Corresponding Author: Buddesab, Department of Computer Science and Engineering, University Visvesvaraya College of Engineering, Bangalore, Bangalore University, 560001- India. Email: tonnur21@gmail.com 1. INTRODUCTION UASNs are specially designed to operate and monitor under water such as the ocean, lake, etc and communication frequency of operation is between 10 Hz and 1 MHz UASNs have unique characteristics such as acoustic channel communication, weak link connection, dynamic network, and mobility. Due to this providing security to UASNs is not as easy as TWSNs. In UASN, network structure operates first under water and sends the information to the local station and then forward to the base station [1]. Underwater acoustic sensor network (UASN) deals with the propagation of underwater sound and interaction of mechanical waves that generate noise with water. A UASN has many small sensor nodes which are placed underwater that relatively cooperate in gathering information about the environment and satisfying the challenging requirements. Acoustic Wireless Sensor Network consists of sensors and vehicles which form an autonomous network for collaborative monitoring tasks. The applications of UASN are Monitoring heavy instruments, controlling weather pollution, Climate Reporting, natural disturbances causes, prediction, Marine Life Study, Ocean surveillance and disaster prevention [2].