1 research outputs found
Multi-level trust-based intelligence schema for securing of internet of things (IoT) against security threats using cryptographic authentication
The internet of things (IoT) is able to provide a prediction of linked,
universal, and smart nodes that have autonomous interaction when they present
services. Because of wide openness, relatively high processing power, and wide
distribution of IoT things, they are ideal for attacks of the gray hole. In the
gray hole attack, the attacker fakes itself as the shortest path to the
destination that is a thing here. This causes the routing packets not to reach
the destination. The proposed method is based on the AODV routing protocol and
is presented under the MTISS-IoT name which means for the reduction of gray
hole attacks using check node information. In this paper, a hybrid approach is
proposed based on cryptographic authentication. The proposed approach consists
of four phases, such as the verifying node trust in the IoT, testing the
routes, gray hole attack discovery, and the malicious attack elimination
process in MTISS-IoT. The method is evaluated here via extensive simulations
carried out in the NS-3 environment. The experimental results of four scenarios
demonstrated that the MTISS-IoT method can achieve a false positive rate of
14.104%, a false negative rate of 17.49%, and a detection rate of 94.5% when
gray hole attack was launched.Comment: 23 pages, 11 figures, journa