2021, Vol.7, No.1

Journal of Internet of Things and Convergence 2023 KCI Impact Factor : 0.89

pISSN : 2466-0078
https://journal.kci.go.kr/kiots

The IoT market continues to expand and grow, but the security threat to IoT devices is also increasing. However, it is difficult to apply the security technology applied to the existing system to IoT devices that have a problem of resource limitation. Therefore, in this paper, we present a service that can improve the security of IoT devices by presenting authentication and lightweight cryptographic algorithms that can reduce the overhead of applying security features, taking into account the nature of resource limitations of IoT devices. We want to apply these service to home network IoT equipment to provide security. The authentication and lightweight cryptographic algorithm application protocols presented in this paper have secured the safety of the service through the use of LEA encryption algorithms and secret key generation by users, IoT devices and server in the IoT environment. Although there is no difference in speed from randomly generating secret keys in experiments, we verify that the problem of resource limitation of IoT devices can be solved by additionally not applying logic for secret key sharing to IoT devices.

The data mining design incorporated with big data based cloud computing system is investigated for the nuclear terrorism prevention where the conventional physical protection system (PPS) is modified. The networking of terror related bodies is modeled by simulation study for nuclear forensic incidents. It is needed for the government to detect the terrorism and any attempts to attack to innocent people without illegal tapping. Although the mathematical algorithm of the study can’t give the exact result of the terror incident, the potential possibility could be obtained by the simulations. The result shows the shape oscillation by time. In addition, the integration of the frequency of each value can show the degree of the transitions of the results. The value increases to -2.61741 in 63.125th hour. So, the terror possibility is highest in later time.

Augmented reality systems are widely used in the fields of entertainment, shopping, education, and training, and the augmented reality technology is gradually increasing in importance. When augmented reality technology is used for education or training, it must be possible to represent different virtual objects depending on the work stage even for the same marker. Also, since the training content varies depending on the situation, it is necessary to describe it using a training scenario. In order to solve this problem, we propose a scenario markup language for an augmented reality system that can create training content based on a scenario and connect it with an augmented reality system. The scenario markup language for augmented reality provides functions such as a method for connecting a scene, a marker and a virtual object, a method for grasping the state of equipment or sensor value, and a method for moving a scene according to conditions. The augmented reality scenario markup language can flexibly increase the usefulness and expandability of the augmented reality system usage method and content usage.