Visible to the public Biblio

Filters: Author is Cha, Shi-Cho  [Clear All Filters]
2022-11-18
Cha, Shi-Cho, Shiung, Chuang-Ming, Lin, Gwan-Yen, Hung, Yi-Hsuan.  2021.  A Security Risk Management Framework for Permissioned Blockchain Applications. 2021 IEEE International Conference on Smart Internet of Things (SmartIoT). :301—310.
As permissioned blockchain becomes a common foundation of blockchain-based applications for current organizations, related stakeholders need a means to assess the security risks of the applications. Therefore, this study proposes a security risk management framework for permissioned blockchain applications. The framework divides itself into different implementation stacks and provides guidelines to control the security risks of permissioned blockchain applications. According to the best of our knowledge, this study is the first research that provides a means to evaluate the security risks of permissioned blockchain applications from a holistic point of view. If users can trust the applications that adopted this framework, this study can hopefully contribute to the adoption of permissioned blockchain technologies.
2020-02-10
Cha, Shi-Cho, Li, Zhuo-Xun, Fan, Chuan-Yen, Tsai, Mila, Li, Je-Yu, Huang, Tzu-Chia.  2019.  On Design and Implementation a Federated Chat Service Framework in Social Network Applications. 2019 IEEE International Conference on Agents (ICA). :33–36.
As many organizations deploy their chatbots on social network applications to interact with their customers, a person may switch among different chatbots for different services. To reduce the switching cost, this study proposed the Federated Chat Service Framework. The framework maintains user profiles and historical behaviors. Instead of deploying chatbots, organizations follow the rules of the framework to provide chat services. Therefore, the framework can organize service requests with context information and responses to emulate the conversations between users and chat services. Consequently, the study can hopefully contribute to reducing the cost for a user to communicate with different chatbots.