Trustability based on beta distribution detecting abnormal behaviour nodes in WSN

Large numbers of low-power, low-cost, and multifunctional sensor nodes being integrated as a network are improved with wireless communication and electronics updated technologies. Wireless sensor networks (WSN) have been engaged as one of most important parts in our daily life. Common application areas include hospitals, homes, battlefields, and transportation systems. However, nodes deployed in a wireless sensor networks run on batteries with limited power and computation ability. The communication channels can be unreliable and the performance can be vulnerable to attacks and sensor failures such as; wormhole and sinkhole attacks, denial-of-service (DoS), and other pollution attacks. Many algorithms have been published relating to these areas, but few research papers discuss internal attacks. Our major focus in this paper is to ensure the designed networks correct security state, such as if the functions are within the original design. In our proposed algorithm we investigated three scenarios with the trustability based on the beta distribution detecting those nodes in a WSN showing abnormal behaviour. Furthermore, our algorithm can present how weighting is an effective viable security measure in the targeted WSN. Our proposed algorithm does not have any previous information about the target network when it is applied to a WSN. It offers consistent results, detecting malicious nodes with all achieving a trust value inside a 0.003 range within two-hops of the assessing node in a WSN.