Biblio

Filters: Author is Choi, Chang  [Clear All Filters]
2019-06-24
Kim, Gihoon, Choi, Chang, Choi, Junho.  2018.  Ontology Modeling for APT Attack Detection in an IoT-based Power System. Proceedings of the 2018 Conference on Research in Adaptive and Convergent Systems. :160–164.

Smart grid technology is the core technology for the next-generation power grid system with enhanced energy efficiency through decision-making communication between suppliers and consumers enabled by integrating the IoT into the existing grid. This open architecture allowing bilateral information exchange makes it vulnerable to various types of cyberattack. APT attacks, one of the most common cyberattacks, are highly tricky and sophisticated attacks that can circumvent the existing detection technology and attack the targeted system after a certain latent period after intrusion. This paper proposes an ontology-based attack detection system capable of early detection of and response to APT attacks by analyzing their attacking patterns.

2019-01-21
Meng, Leilei, Su, Xin, Zhang, Xuewu, Choi, Chang, Choi, Dongmin.  2018.  Signal Reception for Successive Interference Cancellation in NOMA Downlink. Proceedings of the 2018 Conference on Research in Adaptive and Convergent Systems. :75–79.

Successive interference cancellation (SIC) receiver is adopted by power domain non-orthogonal multiple access (NOMA) at the receiver side as the baseline receiver scheme taking the forthcoming expected mobile device evolution into account. Development technologies and advanced techniques are boldly being considered in order to achieve power saving in many networks, to reach sustainability and reliability in communication due to envisioned huge amount of data delivery. In this paper, we propose a novel scheme of NOMA-SIC for the sake of balancing the trade-off between system performance and complexity. In the proposed scheme, each SIC level is comprised by a matching filter (MF), a MF detector and a regenerator. In simulations, the proposed scheme demonstrates the best performance on power saving, of which energy efficiency increases with an increase in the number of NOMA device pairs.