FEBSRA: Fuzzy Trust Based Energy Aware Balanced Secure Routing Algorithm for Secured Communications in WSNs

Abstract

Energy efficiency is playing major role in the design of a sensor network for improving the network lifetime and the trust is also important for providing the security to the data communication process. Delay is also major challenge today due to the enormous volume of network users. For overcoming all these issues, many researchers have been developed energy efficient security mechanisms for fulfilling the requirements. Even though, they are not able to satisfy the current requirements and users in terms of energy consumption, delay and security. For this purpose, this paper propose a new algorithm called Fuzzy Trust Based Energy Aware Balanced Secure Routing Algorithm (FEBSRA) which is able to provide the effective delay constrained secured routing algorithm which uses the fuzzy logic is a form of many-valued logic in which the truth values of variables may be any real number between 0 and 1 both inclusive for making final decision over sensor nodes with the consideration of number of hops between the source and destination nodes, energy level of the nodes and the trust scores. Moreover, a new trust model is also introduced new formulae for calculating the trust scores with the consideration of energy level of the communication delay which is calculated by using number of hops used for the specific communication. The experimental results of the proposed secured routing algorithm demonstrated that the performance in terms of energy consumption, less delay and high throughput with security is better when compared to the existing systems.

A secure and dependable trust assessment (SDTS) scheme for industrial communication networks

“…A significant amount of research work has been carried out on trust modeling in the last decade but, to the best of our knowledge, existing work [17][18][19][20][21][22][23][24][25] , and [31][32][33][34][35] did not fulfill the vital fundamental requirements (cooperation, resource efficiency, energy efficiency, algorithm complexity, coverage, connectivity, availability, high sensing fidelity, fault tolerance, data confidentiality, data integrity) for the survival of WSNs. Even most of the work [36][37][38] has no adaptability, i.e., cannot be tuned according to application requirements and network capabilities. Furthermore, trust evaluation based on interactions 18 monitored (detection of unexpected behavior) using a timing window 17 is not reliable.…”

A Secure and Dependable Trust Assessment (SDTS) Scheme for Industrial Communication Networks: Analytical Approach

“…A significant amount of research work has been carried out on trust modeling in the last decade but, to the best of our knowledge, existing work [17][18][19][20][21][22], [23][24][25] and [31][32][33][34][35] did not fulfill the vital fundamental requirements (cooperation, resource efficiency, energy efficiency, algorithm complexity, coverage, connectivity, availability, high sensing fidelity, fault tolerance, data confidentiality, data integrity) for the survival of WSNs. Even most of the work [36][37][38] has no adaptability, i.e., cannot be tuned according to application requirements and network capabilities. Furthermore, trust evaluation based on interactions [18] monitored (detection of unexpected behavior) using timing window [17] is not reliable.…”