TBCS: A Trust Based Clustering Scheme for Secure Communication in Flying Ad-Hoc Networks
- PDF / 2,557,836 Bytes
- 24 Pages / 439.37 x 666.142 pts Page_size
- 38 Downloads / 229 Views
TBCS: A Trust Based Clustering Scheme for Secure Communication in Flying Ad‑Hoc Networks Kuldeep Singh1 · Anil Kumar Verma1
© Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract In Flying Ad hoc Networks (FANETs), coordination and cooperation among nodes are important for efficient data transmission. Cooperation among the nodes hinges on the node behavior and the behavior of the node can be quantified using the concept of trust. Trust helps in segregation of non-cooperative and malicious network nodes, thus increasing the reliability of information exchanged among nodes. In this paper, a Trust Based Clustering Scheme (TBCS) has been proposed for FANETs. TBCS use a multi-criteria fuzzy method for the classification based on the node’s behavior in the fuzzy and complex environment. The proposed scheme makes use of Takagi–Sugeno–Kang fuzzy inference method. The reward and punishment mechanism has been introduced to convert the node’s behavior into trust, and to segregate malicious and misbehaving nodes in the FANET. Furthermore, a secure Cluster Head has been selected based on calculated trust values that is responsible for communication with ground control station and inter-cluster communication. TBCS is compared with existing trust models and the experiment results revealed that the proposed TBCS model has high accuracy, better performance, and adaptability in FANETs. Keywords Security · Fuzzy · Clustering · Trust management · Cluster head · FANETs
1 Introduction In recent years, Flying Ad hoc Networks (FANETs) [1] are receiving more attention from the research community due to their performing capabilities in the military and civilian application. There are several important applications of FANET such as real-time surveillance [1], search and rescue operations [2], wildfire monitoring [3], and battle ground. A FANET is a group of flying nodes also known as Unmanned Aerial Vehicles (UAVs), linked with wireless connections. UAVs coordinate and cooperate with their neighboring nodes in the network to share information in order to complete the mission [4]. FANETs can be rapidly deployed anytime in real-time for communication because they do not * Kuldeep Singh [email protected] Anil Kumar Verma [email protected] 1
CSED, Thapar University, Patiala, India
13
Vol.:(0123456789)
K. Singh, A. K. Verma
require any external resources. These unique features make FANETs a suitable solution for various applications. However, FANETs face various challenges related to communication and security [5, 6]. In FANET, UAVs not only act as a sender or receiver but also performs the role of a router to forward packets out of their communication range. Due to the limited battery power some UAVs may decline to forward data packets to save their battery power which can lead to disruption of network service and performance degradation. The node (UAV) with such kind of behavior is known as a selfish node [7]. The nodes in FANETs are exposed to various internal and external threats during the critical
Data Loading...
