| Title | Ontology Based Security Risk Model for Power Terminal Equipment |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Authors | Liang, Xiao, Ma, Lixin, An, Ningyu, Jiang, Dongxiao, Li, Chenggang, Chen, Xiaona, Zhao, Lijiao |
| Conference Name | 2019 12th International Symposium on Computational Intelligence and Design (ISCID) |
| Date Published | dec |
| Keywords | APT attack, APT security attack, composability, compositionality, Computational Intelligence, cryptography, electric power IoT, Hardware, Internet of Things, IoT based technology, knowledge representation, network attack, networked power terminal equipment oriented cyberspace security, Ontologies, ontologies (artificial intelligence), Ontology, ontology based security risk model, ontology-based knowledge representation method, Operating systems, power engineering computing, power grids, power IoT terminal device, power system security, power system stability, power terminal device, pubcrawl, security, security of data, security risk model, Vulnerability |
| Abstract | IoT based technology are drastically accelerating the informationization development of the power grid system of China that consists of a huge number of power terminal devices interconnected by the network of electric power IoT. However, the networked power terminal equipment oriented cyberspace security has continually become a challenging problem as network attack is continually varying and evolving. In this paper, we concentrate on the security risk of power terminal equipment and their vulnerability based on ATP attack detection and defense. We first analyze the attack mechanism of APT security attack based on power terminal equipment. Based on the analysis of the security and attack of power IoT terminal device, an ontology-based knowledge representation method of power terminal device and its vulnerability is proposed. |
| DOI | 10.1109/ISCID.2019.10132 |
| Citation Key | liang_ontology_2019 |
Ontology Based Security Risk Model for Power Terminal Equipment