Ontology Modeling for APT Attack Detection in an IoT-based Power System
Title | Ontology Modeling for APT Attack Detection in an IoT-based Power System |
Publication Type | Conference Paper |
Year of Publication | 2018 |
Authors | Kim, Gihoon, Choi, Chang, Choi, Junho |
Conference Name | Proceedings of the 2018 Conference on Research in Adaptive and Convergent Systems |
Publisher | ACM |
Conference Location | New York, NY, USA |
ISBN Number | 978-1-4503-5885-9 |
Keywords | APT attack, Human Behavior, IoT, Metrics, Ontology, policy-based governance, pubcrawl, Resiliency, Smart grid, Smart Grid Consumeer Privacy, smart grid consumer privacy |
Abstract | 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. |
URL | http://doi.acm.org/10.1145/3264746.3264786 |
DOI | 10.1145/3264746.3264786 |
Citation Key | kim_ontology_2018 |