HCIS

Abstract Email is of critical importance as a communication channel for both business and personal matters. Unfortunately, it is also often exploited for phishing attacks. To defend against such thre…

Daniel Jampen, Gürkan Gür, Thomas Sutter & Bernhard Tellenbach

Abstract Wi-Fi-based indoor positioning for determining accurate wireless indoor location information has become crucial in meeting increasing demands for location-based services by leveraging the In…

Tran Trong Khanh, VanDung Nguyen, Xuan-Qui Pham & Eui-Nam Huh

Abstract Cloud computing based on OpenStack is widely used as a distributed computing platform. OpenStack has progressed at a rapid pace, incorporating a variety of service modules; it is supported b…

Youngjong Kim & Jinho Park

Abstract This study proposes a context-aware auction solution suitable for the intelligent user. The solution informs the most reasonable prices for brokers after considering the size of each species…

Yeong-Seok Seo & Jun-Ho Huh

Abstract Parameterized computation theory has developed rapidly over the last two decades. In theoretical computer science, it has attracted considerable attention for its theoretical value and signi…

Wenjun Li, Yang Ding, Yongjie Yang, R. Simon Sherratt, Jong Hyuk Park & Jin Wang

Abstract The possibility of performing complex data analysis through sets of cooperating personal smart devices has recently encouraged the definition of new distributed computing paradigms. The gene…

Federico Concone, Giuseppe Lo Re & Marco Morana

Abstract Unhealthy behaviors regarding nutrition are a global risk for health. Therefore, the healthiness of an individual’s nutrition should be monitored in the medium and long term. A powerful tool…

Federica Gerina, Silvia M. Massa, Francesca Moi, Diego Reforgiato Recupero & Daniele Riboni

Abstract Artificial intelligence is one of the key technologies for progression to the fourth industrial revolution. This technology also has a significant impact on software professionals who are co…

Dong-Gun Lee & Yeong-Seok Seo

Abstract Data with unbalanced multivariate nominal attributes collected from a large number of users provide a wealth of knowledge for our society. However, it also poses an unprecedented privacy thr…

Xuejie Feng & Chiping Zhang

Abstract To develop a realistic simulator for autonomous vehicle testing, the simulation of various scenarios that may occur near vehicles in the real world is necessary. In this paper, we propose a …

Mingyun Wen, Jisun Park & Kyungeun Cho

Abstract Crowdsourcing and crowd computing are a trend that is likely to be increasingly popular, and there remain a number of research and operational challenges that need to be addressed. The human…

Zhiyong Zhang, Junchang Jing, Xiaoxue Wang, Kim-Kwang Raymond Choo & Brij B. Gupta

Abstract Due to single-time registration, the multi-server authentication provides benefit for getting services from different servers through trusted agent. Generally, users feel hesitation for regi…

Muhammad Arslan Akram, Zahid Ghaffar, Khalid Mahmood, Saru Kumari, Kadambri Agarwal & Chien-Ming Chen

Abstract As cloud computing technology matures, along with an increased application of distributed networks, increasingly larger amounts of data are being stored in the cloud, and are thus available …

Chin-Ling Chen, Po-Tsun Huang, Yung-Yuan Deng, Hsing-Chung Chen & Yun-Ciao Wang

Abstract The technology of Artificial Intelligence (AI) brings tremendous possibilities for autonomous vehicle applications. One of the essential tasks of autonomous vehicle is environment perception…

Mingfang Zhang, Rui Fu, Yingshi Guo, Li Wang, Pangwei Wang & Hui Deng

Abstract With the wide application of Light Detection and Ranging (LiDAR) in the collection of high-precision environmental point cloud information, three-dimensional (3D) object classification from …

Wei Song, Lingfeng Zhang, Yifei Tian, Simon Fong, Jinming Liu & Amanda Gozho