Trust based mechanism for the isolation of hello flood attack in Internet of Things
Apurav, Saurabh · AIP conference proceedings · 2022
The Internet of Things systems are prone to the attacks as they have ad-hoc and finite resource structure. Internet of Things-based mechanisms can be utilized for managing a large volume of information and assist in services related to industrial and medical applications. Due to this, the IoT attains vulnerability against huge number of attackers and adversaries namely cybercriminals, government, etc. The major goal of PA is to steal the sensitive information such as numbers of credit card numbers, state of data, credential of commercial account and information related to health, by hacking the Internet of Things devices. The hello flood attack is one of malicious activity of IoT which affect network performance to great extent. This attack is triggered by the malicious nodes which can flood unlimited hello packets in the network. The hello flood attack raised situation of denial of service within the network. This research work suggests a trust-based system in which every node obtains a trust value based on their activities. The mote that is least trusted Network will be marked as malicious and get isolated from the network. Network Simulator-2 is applied to deploy the suggested scheme and various metrics such as throughput, packet loss, energy consumption and delay are considered to analyse the results.