2015, Vol.10, No.6

Journal of Knowledge Information Technology and Systems 2023 KCI Impact Factor : 0.89

pISSN : 1975-7700 / eISSN : 2734-0570
https://journal.kci.go.kr/kkits

The virtual reality systems may be used as a new educational tool because a user can be provided immersive sensation as he/she experiences a real object. One of the most important factors in developing educational tool based on virtual reality is to make a user naturally interact with a target object and to convey the sense of reality to a user. The sense of the reality means that a user feels or experiences an object in virtual world as the object exists in real world. In order to increase the sense of the reality, this paper addresses a multimodal interface device that allows a user not only to naturally interact with virtual objects but also to sense graphic and haptic feedback according to his/her interaction. The proposed system measures a user’s motion based on IMU (an inertia measurement unit) and then re-creates haptic feedback by the proposed multimodal interface device. To generate the haptic feedback in response to user’s interaction with virtual objects, our system consists of a haptic part for creating haptic information, a motion sensing part to measure user’s motion input, and a virtual environment part. We have also implemented educational contents in the virtual environment and have manipulated the educational contents with the proposed multimodal interaction device.

With the spread of smart-devices, SaaS (software as a service) as one of cloud computing services has became common since many of service providers offer various types of cloud services. At the point there were both security and trust issues as one of major obstacles to revitalization of cloud computing industry, this study attempts to present trust in SaaS as one of key factors in SaaS adoption from the end-users' perspective. This study further presents both information privacy concerns and security concerns as antecedents of trust in SaaS. To test the proposed research hypotheses, this study collects data from 101 undergraduate students who have no experiences on using Google Docs as an typical example of SaaS at two survey rounds. By conducting both PLS (partial least squares) and mediated regression analysis, this study found that trust in Saas was fully mediating effects in the relationships between information privacy concerns/ security concerns and SaaS Adoption. Based on the results, this study has presents both research and practice implications given the importance of security and trust issues in cloud computing services.

The big data is typically collect a large amount of information. It is processed of receiving a service and is based on a cloud computing environment. These environments are easily exposed to illegal accesses, which use IP Spoofing compared to that of a single system. In this study traceback information is used to identify normal users in order to response to illegal accesses in a cloud computing environment. Then, services are provided after the identification process for the normal access frequency of users by comparing it with access failure information within a specific time. If there exists mismatches in traceback information or the access failure information exceeds a critical value, the access will be identified as an illegal access. Then, the access is immediately interrupted and is recorded as illegal access information. In addition, as an access that is attempted at an unexpected location, which is not registered in the existing user traceback information due to movements of normal users, is presented, the data will be provided after encrypting it for responding illegal accesses due to leaks of OTP. The model presented in this study is safe for authorized users against illegal accesses, which use IP Spoofing in a cloud computing based big data collecting environment, and improves service availabilities.