ITCN An Intelligent Trust Collaboration Network System in IoT

Abstract : Artificial Intelligence (AI) technology has been widely applied to Internet of Thing (IoT) and one of key applications is intelligence data collection from billions of IoT devices. However, many AI based data collection approaches lack security considerations leading to availability restricted. In this paper, an Intelligent Trust Collaboration Network System (ITCN) is established to collect data through collaboration with mobile vehicles and Unmanned Aerial Vehicle (UAV) for IIoT. The first, a deadline-aware data collection collaboration network framework is proposed by collaboration with mobile vehicles and UAV. The second, an active and verifiable trust evaluation approach is proposed to obtain the trust of the data participants, which ensures the security and privacy of the system. The last, a trust joint AI based UAV trajectory optimization algorithm is proposed to collect as much baseline data as possible, so more trust of data participants can be accurately evaluated and the data can be collected before deadline at low cost. The simulation results show that ITCN reduces the cost by 35.08% compared with using the UAV only, saves the collection time by 58.32% and increases the accuracy by 33.34% on average compared with the previous strategies only using vehicles.

 EXISTING SYSTEM :

 ? A workflow process specifying a blueprint flow description was taken into consideration to fulfill the existing facility in the intelligent house condition. ? It consisted of employing the chart concept to explain a shorter response period and combine the service with existing methods. ? Industrial IoT targets existing automated industrial systems looking for dramatic improvements in productivity and efficiency. ? It has stated that various IoT applications still need to be exploited, such as blockchain technology, in order to maintain transaction information, enhance the existing structure performance, or develop next-generation systems.

 DISADVANTAGE :

 ? The process includes perceiving, recognizing, and reasoning for intuitive problem solving and decision-making. ? Therefore, it is crucial to understand the evolution and equally essential to identify potential security vulnerabilities and issues to offer mitigation towards success. ? Transportation systems constitute an indispensable part of modern life that plays a critical role in coordinating all forms of transport and related traffic to offer safety by tackling a range of challenging issues. ? Novel ICT-enabled technologies are irresistibly integrating into automobiles to improve driving experiences and tackle some burning issues, such as traffic congestion, road accident, and other road fatalities that causes death and property lost.

 PROPOSED SYSTEM :

 • The proposed structure has been evaluated by designing a wearable device as a prototype, as well as receiver units. • It can be seen that the data the proposed approach is able to deliver enhanced the data rate and lowered the energy consumption and packet loss. • The presented facility structure utilized the data mining categorization process to evaluate the possibility of the proposed approach. • In order to assess the proposed approach, three IoT application situations involving wearable devices, the smart home, and the smart city were studied. • However, the proposed model does not consider security protocols, but appears to be advantageous for making the process more useful and secure.

 ADVANTAGE :

 ? The control services are responsible for determining system performances by utilizing a variety of different facilities such as network optimization, resource allocation, network-wide Security, etc. ? However, when a remote node is compromised, it may simply return random results without running any computation, which may hamper the performance and the responsiveness of the object detection application. ? Interaction and cooperation among multiple cloud service providers (CSPs) as a single cloud would not provide all devices with satisfactory quality of services due to performance and the high cost of cloud deployment or country policy. ? Although a significant improvement in automation and connectivity is observed, IoV based model is still inefficient due to the lack of technical sophistication to reduce the road causalities to zero.